68 results on '"Nyenswah T"'
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2. Initiation of a Ring Approach to Infection Prevention and Control at Non-Ebola Health Care Facilities — Liberia, January–February 2015
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Nyenswah, T., Massaquoi, M., Gbanya, M. Z., Fallah, M., Amegashie, F., Kenta, A., Johnson, K. L., Yahya, D., Badini, M., Soro, L., Pessoa-Silva, C. L., Roger, I., Linda Selvey, Vanderende, K., Murphy, M., Cooley, L. A., Olsen, S. J., Christie, A., Vertefeuille, J., Navin, T., Mcelroy, P., Park, B. J., Esswein, E., Fagan, R., and Mahoney, F.
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Adult ,Male ,Infection Control ,Adolescent ,Health Personnel ,Articles ,Hemorrhagic Fever, Ebola ,Middle Aged ,Liberia ,Young Adult ,Occupational Exposure ,Cluster Analysis ,Humans ,Female ,Health Facilities ,Child - Abstract
From mid-January to mid-February 2015, all confirmed Ebola virus disease (Ebola) cases that occurred in Liberia were epidemiologically linked to a single index patient from the St. Paul Bridge area of Montserrado County. Of the 22 confirmed patients in this cluster, eight (36%) sought and received care from at least one of 10 non-Ebola health care facilities (HCFs), including clinics and hospitals in Montserrado and Margibi counties, before admission to an Ebola treatment unit. After recognition that three patients in this emerging cluster had received care from a non-Ebola treatment unit, and in response to the risk for Ebola transmission in non-Ebola treatment unit health care settings, a focused infection prevention and control (IPC) rapid response effort for the immediate area was developed to target facilities at increased risk for exposure to a person with Ebola (Ring IPC). The Ring IPC approach, which provided rapid, intensive, and short-term IPC support to HCFs in areas of active Ebola transmission, was an addition to Liberia's proposed longer term national IPC strategy, which focused on providing a comprehensive package of IPC training and support to all HCFs in the country. This report describes possible health care worker exposures to the cluster's eight patients who sought care from an HCF and implementation of the Ring IPC approach. On May 9, 2015, the World Health Organization (WHO) declared the end of the Ebola outbreak in Liberia.
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- 2015
3. Evidence for Declining Numbers of Ebola Cases — Montserrado County, Liberia, June–October 2014
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Nyenswah, T. G., Westercamp, M., Kamali, A. A., Jin Qin, Zielinski-Gutierrez, E., Amegashie, F., Fallah, M., Gergonne, B., Nugba-Ballah, R., Singh, G., Aberle-Grasse, J. M., Havers, F., Montgomery, J. M., Bawo, L., Wang, S. A., and Rosenberg, R.
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Patient Admission ,Humans ,Articles ,Hemorrhagic Fever, Ebola ,Ebolavirus ,Epidemics ,Liberia - Abstract
The epidemic of Ebola virus disease (Ebola) in West Africa that began in March 2014 has caused approximately 13,200 suspected, probable, and confirmed cases, including approximately 6,500 in Liberia. About 50% of Liberia's reported cases have been in Montserrado County (population 1.5 million), the most populous county, which contains the capital city, Monrovia. To examine the course of the Ebola epidemic in Montserrado County, data on Ebola treatment unit (ETU) admissions, laboratory testing of patient blood samples, and collection of dead bodies were analyzed. Each of the three data sources indicated consistent declines of 53%-73% following a peak incidence in mid-September. The declines in ETU admissions, percentage of patients with reverse transcription-polymerase chain reaction (RT-PCR) test results positive for Ebola, and dead bodies are the first evidence of reduction in disease after implementation of multiple prevention and response measures. The possible contributions of these interventions to the decline is not yet fully understood or corroborated. A reduction in cases suggests some progress; however, eliminating Ebola transmission is the critical goal and will require greatly intensified efforts for complete, high-quality surveillance to direct and drive the rapid intervention, tracking, and response efforts that remain essential.
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- 2014
4. Ebola Epidemic — Liberia, March–October 2014
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Nyenswah, T., Fahnbulleh, M., Massaquoi, M., Nagbe, T., Bawo, L., Falla, J. D., Kohar, H., Gasasira, A., Nabeth, P., Yett, S., Gergonne, B., Casey, S., Espinosa, B., Mccoy, A., Feldman, H., Lisa Hensley, Baily, M., Fields, B., Lo, T., Lindblade, K., Mott, J., Boulanger, L., Christie, A., Wang, S., Montgomery, J., and Mahoney, F.
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Patient Admission ,Humans ,Articles ,Hemorrhagic Fever, Ebola ,Ebolavirus ,Epidemics ,Liberia - Abstract
On March 21, 2014, the Guinea Ministry of Health reported the outbreak of an illness characterized by fever, severe diarrhea, vomiting and a high fatality rate (59%), leading to the first known epidemic of Ebola virus disease (Ebola) in West Africa and the largest and longest Ebola epidemic in history. As of November 2, Liberia had reported the largest number of cases (6,525) and deaths (2,697) among the three affected countries of West Africa with ongoing transmission (Guinea, Liberia, and Sierra Leone). The response strategy in Liberia has included management of the epidemic through an incident management system (IMS) in which the activities of all partners are coordinated. Within the IMS, key strategies for epidemic control include surveillance, case investigation, laboratory confirmation, contact tracing, safe transportation of persons with suspected Ebola, isolation, infection control within the health care system, community engagement, and safe burial. This report provides a brief overview of the progression of the epidemic in Liberia and summarizes the interventions implemented.
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- 2014
5. Active Case Finding for Improved Ebola Virus Disease Case Detection in Nimba County, Liberia, 2014/2015: Lessons Learned
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Namukose, E., primary, Bowah, C., additional, Cole, I., additional, Dahn, G., additional, Nyanzee, P., additional, Saye, R., additional, Duworko, M., additional, Nsubuga, P., additional, Mawanda, M., additional, Mahmoud, N., additional, Clement, P., additional, Ngabirano, T. D., additional, Nyenswah, T., additional, and Gasasira, A., additional
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- 2018
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6. Implementation of Ebola Case-Finding Using a Village Chieftaincy Taskforce in a Remote Outbreak — Liberia, 2014
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José Hagan, Smith, W., Pillai, S. K., Yeoman, K., Gupta, S., Neatherlin, J., Slutsker, L., Lindblade, K. A., Decock, K. M., Kateh, F., and Nyenswah, T.
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Travel ,Population Surveillance ,Cluster Analysis ,Humans ,Female ,Articles ,Contact Tracing ,Hemorrhagic Fever, Ebola ,Middle Aged ,Ebolavirus ,Liberia ,Disease Outbreaks - Abstract
On October 16, 2014, a woman aged 48 years traveled from Monrovia, Liberia, to the Kayah region of Rivercess County, a remote, resource-poor, and sparsely populated region of Liberia, and died on October 21 with symptoms compatible with Ebola virus disease (Ebola). She was buried in accordance with local tradition, which included grooming, touching, and kissing the body by family and other community members while it was being prepared for burial. During October 24-November 12, eight persons with probable and 13 with confirmed Ebola epidemiologically linked to the deceased woman had onset of symptoms. Nineteen of the 21 persons lived in five nearby villages in Kayah region; two, both with probable cases, lived in neighboring Grand Bassa County (Figure). Four of the confirmed cases in Kayah were linked by time and location, although the source case could not be determined because the patients had more than one exposure.
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- 2015
7. Virus genomes reveal factors that spread and sustained the Ebola epidemic
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Dudas, G. (Gytis), Carvalho, L.M. (Luiz Max), Bedford, T. (Trevor), Tatem, A.J. (Andrew J.), Baele, G. (Guy), Faria, R. (Rui), Park, D.J. (Daniel J.), Ladner, J.T. (Jason T.), Arias, A., Asogun, D. (Danny), Bielejec, F. (Filip), Caddy, S.L., Cotten, M. (Matthew), D'Ambrozio, J. (Jonathan), Dellicour, S. (Simon), Di Caro, A. (Antonino), Diclaro, J.W. (Joseph W.), Duraffour, S. (Sophie), Elmore, M.J. (Michael J.), Fakoli, L.S. (Lawrence S.), Faye, O. (Ousmane), Gilbert, M.L. (Merle L.), Gevao, S.M. (Sahr M.), Gire, S. (Stephen), Gladden-Young, A. (Adrianne), Gnirke, A. (Andreas), Goba, A. (Augustine), Grant, D.S. (Donald S.), Haagmans, B.L. (Bart), Hiscox, J.A. (Julian A.), Jah, U., Kugelman, J.R. (Jeffrey R.), Liu, D. (Di), Lu, J. (Jia), Malboeuf, C.M. (Christine M.), Mate, S. (Suzanne), Matthews, D.A. (David A.), Matranga, C.B. (Christian B.), Meredith, L.W. (Luke W.), Qu, J. (James), Quick, J. (Joshua), Pas, S.D. (Suzan), Phan, M.V.T. (My V. T.), Pollakis, G. (G.), Reusken, C.B.E.M. (Chantal), Sanchez-Lockhart, M. (Mariano), Schaffner, S.F. (Stephen F.), Schieffelin, J.S. (John S.), Sealfon, R.S. (Rachel S.), Simon-Loriere, E. (Etienne), Smits, S.L. (Saskia), Stoecker, K. (Kilian), Thorne, L. (Lucy), Tobin, E.A. (Ekaete Alice), Vandi, M.A. (Mohamed A.), Watson, S.J. (Simon J.), West, K. (Kendra), Whitmer, S. (Shannon), Wiley, M.R. (Michael R.), Winnicki, S.M. (Sarah M.), Wohl, S. (Shirlee), Wölfel, R. (Roman), Yozwiak, N.L. (Nathan L.), Andersen, K.G. (Kristian G.), Blyden, S.O. (Sylvia O.), Bolay, F. (Fatorma), Carroll, M.W. (Miles W.), Dahn, B. (Bernice), Diallo, B. (Boubacar), Formenty, P. (Pierre), Fraser, C. (Christophe), Gao, G.F. (George F.), Garry, R.F. (Robert F.), Goodfellow, I. (Ian), Günther, S. (Stephan), Happi, C.T. (Christian T.), Holmes, E.C. (Edward C.), Kargbo, B. (Brima), Keïta, S. (Sakoba), Kellam, P. (Paul), Koopmans D.V.M., M.P.G. (Marion), Kuhn, J.H. (Jens H.), Loman, N.J. (Nicholas J.), Magassouba, N. (N'Faly), Naidoo, D. (Dhamari), Nichol, S.T. (Stuart T.), Nyenswah, T. (Tolbert), Palacios, G. (Gustavo), Pybus, O. (Oliver), Sabeti, P.C. (Pardis C.), Sall, A. (Amadou), Ströher, U. (Ute), Wurie, I., Suchard, M.A. (Marc), Lemey, P. (Philippe), Rambaut, A. (Andrew), Dudas, G. (Gytis), Carvalho, L.M. (Luiz Max), Bedford, T. (Trevor), Tatem, A.J. (Andrew J.), Baele, G. (Guy), Faria, R. (Rui), Park, D.J. (Daniel J.), Ladner, J.T. (Jason T.), Arias, A., Asogun, D. (Danny), Bielejec, F. (Filip), Caddy, S.L., Cotten, M. (Matthew), D'Ambrozio, J. (Jonathan), Dellicour, S. (Simon), Di Caro, A. (Antonino), Diclaro, J.W. (Joseph W.), Duraffour, S. (Sophie), Elmore, M.J. (Michael J.), Fakoli, L.S. (Lawrence S.), Faye, O. (Ousmane), Gilbert, M.L. (Merle L.), Gevao, S.M. (Sahr M.), Gire, S. (Stephen), Gladden-Young, A. (Adrianne), Gnirke, A. (Andreas), Goba, A. (Augustine), Grant, D.S. (Donald S.), Haagmans, B.L. (Bart), Hiscox, J.A. (Julian A.), Jah, U., Kugelman, J.R. (Jeffrey R.), Liu, D. (Di), Lu, J. (Jia), Malboeuf, C.M. (Christine M.), Mate, S. (Suzanne), Matthews, D.A. (David A.), Matranga, C.B. (Christian B.), Meredith, L.W. (Luke W.), Qu, J. (James), Quick, J. (Joshua), Pas, S.D. (Suzan), Phan, M.V.T. (My V. T.), Pollakis, G. (G.), Reusken, C.B.E.M. (Chantal), Sanchez-Lockhart, M. (Mariano), Schaffner, S.F. (Stephen F.), Schieffelin, J.S. (John S.), Sealfon, R.S. (Rachel S.), Simon-Loriere, E. (Etienne), Smits, S.L. (Saskia), Stoecker, K. (Kilian), Thorne, L. (Lucy), Tobin, E.A. (Ekaete Alice), Vandi, M.A. (Mohamed A.), Watson, S.J. (Simon J.), West, K. (Kendra), Whitmer, S. (Shannon), Wiley, M.R. (Michael R.), Winnicki, S.M. (Sarah M.), Wohl, S. (Shirlee), Wölfel, R. (Roman), Yozwiak, N.L. (Nathan L.), Andersen, K.G. (Kristian G.), Blyden, S.O. (Sylvia O.), Bolay, F. (Fatorma), Carroll, M.W. (Miles W.), Dahn, B. (Bernice), Diallo, B. (Boubacar), Formenty, P. (Pierre), Fraser, C. (Christophe), Gao, G.F. (George F.), Garry, R.F. (Robert F.), Goodfellow, I. (Ian), Günther, S. (Stephan), Happi, C.T. (Christian T.), Holmes, E.C. (Edward C.), Kargbo, B. (Brima), Keïta, S. (Sakoba), Kellam, P. (Paul), Koopmans D.V.M., M.P.G. (Marion), Kuhn, J.H. (Jens H.), Loman, N.J. (Nicholas J.), Magassouba, N. (N'Faly), Naidoo, D. (Dhamari), Nichol, S.T. (Stuart T.), Nyenswah, T. (Tolbert), Palacios, G. (Gustavo), Pybus, O. (Oliver), Sabeti, P.C. (Pardis C.), Sall, A. (Amadou), Ströher, U. (Ute), Wurie, I., Suchard, M.A. (Marc), Lemey, P. (Philippe), and Rambaut, A. (Andrew)
- Abstract
The 2013-2016 West African epidemic caused by the Ebola virus was of unprecedented magnitude, duration and impact. Here we reconstruct the dispersal, proliferation and decline of Ebola virus throughout the region by analysing 1,610 Ebola virus genomes, which represent over 5% of the known cases. We test the association of geography, climate and demography with viral movement among administrative regions, inferring a classic 'gravity' model, with intense dispersal between larger and closer populations. Despite attenuation of international dispersal after border closures, cross-border transmission had already sown the seeds for an international epidemic, rendering these measures ineffective at curbing the epidemic. We address why the epidemic did not spread into neighbouring countries, showing that these countries were susceptible to substantial outbreaks but at lower risk of introductions. Finally, we reveal that this large epidemic was a heterogeneous and spatially dissociated collection of transmission clusters of varying size, duration and connectivity. These insights will help to inform interventions in future epidemics.
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- 2017
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8. Virus genomes reveal the factors that spread and sustained the West African Ebola epidemic
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Dudas, G, Carvalho, LM, Bedford, T, Tatem, A, Baele, G, Faria, N, Park, D, Ladner, J, Arias, A, Asogun, D, Bielejec, F, Caddy, S, Cotten, M, Dambrozio, J, Dellicour, S, Di Caro, A, Diclaro, J, Duraffour, S, Elmore, M, Fakoli, L, Gilbert, M, Gevao, S, Gire, S, Gladden-Young, A, Gnirke, A, Goba, A, Grant, D, Haagmans, B, Hiscox, J, Jah, U, Kargbo, B, Kugelman, J, Liu, D, Lu, J, Malboeuf, C, Mate, S, Matthews, D, Matranga, C, Meredith, L, Qu, J, Quick, J, Pas, S, Phan, MVT, Poliakis, G, Reusken, C, Sanchez-Lockhart, M, Schaffner, S, Schieffelin, J, Sealfon, R, Simon-Loriere, E, Smits, S, Stoecker, K, Thorne, L, Tobin, E, Vandi, M, Watson, S, West, K, Whitmer, S, Wiley, M, Winnicki, S, Wohl, S, Wölfel, R, Yozwiak, N, Andersen, K, Blyden, S, Bolay, F, Carroll, M, Dahn, B, Diallo, B, Formenty, P, Fraser, C, Gao, G, Garry, R, Goodfellow, I, Günther, S, Happi, C, Holmes, E, Kellam, P, Koopmans, MPG, Loman, N, Magassouba, N, Naidoo, D, Nichol, S, Nyenswah, T, Palacios, G, Pybus, O, Sabeti, P, Sall, A, Sakoba, K, Ströeher, U, Wurie, I, Suchard, M, Lemey, P, Rambaut, A, and Wellcome Trust
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viruses - Abstract
Summary The 2013-2016 epidemic of Ebola virus disease in West Africa was of unprecedented magnitude, duration and impact. Extensive collaborative sequencing projects have produced a large collection of over 1600 Ebola virus genomes, representing over 5% of known cases, unmatched for any single human epidemic. In this comprehensive analysis of this entire dataset, we reconstruct in detail the history of migration, proliferation and decline of Ebola virus throughout the region. We test the association of geography, climate, administrative boundaries, demography and culture with viral movement among 56 administrative regions. Our results show that during the outbreak viral lineages moved according to a classic ‘gravity’ model, with more intense migration between larger and more proximate population centers. Notably, we find that despite a strong attenuation of international dispersal after border closures, localized cross-border transmission beforehand had already set the seeds for an international epidemic, rendering these measures relatively ineffective in curbing the epidemic. We use this empirical evidence to address why the epidemic did not spread into neighboring countries, showing that although these regions were susceptible to developing significant outbreaks, they were also at lower risk of viral introductions. Finally, viral genome sequence data uniquely reveals this large epidemic to be a heterogeneous and spatially dissociated collection of transmission clusters of varying size, duration and connectivity. These insights will help inform approaches to intervention in such epidemics in the future.
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- 2016
9. The challenges of mounting a successful response to a Lassa Fever outbreak in a post-EVD resource limited setting, Liberia 2016
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Hamblion, E.L., primary, Raftery, P., additional, Williams, G.S., additional, Dweh, E., additional, Nyan, A., additional, Soro, L., additional, Gasasira, A., additional, Musa, E., additional, Nyenswah, T., additional, and Nagbe, T., additional
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- 2016
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10. Establishing EVD testing at a mobile laboratory using GeneXpert Technology in Liberia - Impact on Surveillance System, Outbreak Detection and Patient Management
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Raftery, P., primary, Wasunna, C., additional, Kpaka, J., additional, Zwizwai, R., additional, Condell, O., additional, Katwerra, V., additional, Hardy, P., additional, Sahr, P., additional, Gasasira, A., additional, and Nyenswah, T., additional
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- 2016
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11. Challenges in responding to the ebola epidemic - four rural counties, Liberia, August-November 2014
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Aimee, Summers, Tolbert G, Nyenswah, Joel M, Montgomery, John, Neatherlin, Jordan W, Tappero, Nyenswah, T, Fahnbulleh, M, and Massaquoi, M
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Communication ,Health Resources ,Humans ,Transportation ,Clinical Competence ,Health Services Research ,Rural Health Services ,Articles ,Hemorrhagic Fever, Ebola ,Epidemics ,Liberia ,Delivery of Health Care - Abstract
The first cases of Ebola virus disease (Ebola) in West Africa were identified in Guinea on March 22, 2014. On March 30, the first Liberian case was identified in Foya Town, Lofa County, near the Guinean border. Because the majority of early cases occurred in Lofa and Montserrado counties, resources were concentrated in these counties during the first several months of the response, and these counties have seen signs of successful disease control. By October 2014, the epidemic had reached all 15 counties of Liberia. During August 27-September 10, 2014, CDC in collaboration with the Liberian Ministry of Health and Social Welfare assessed county Ebola response plans in four rural counties (Grand Cape Mount, Grand Bassa, Rivercess, and Sinoe, to identify county-specific challenges in executing their Ebola response plans, and to provide recommendations and training to enhance control efforts. Assessments were conducted through interviews with county health teams and health care providers and visits to health care facilities. At the time of assessment, county health teams reported lacking adequate training in core Ebola response strategies and reported facing many challenges because of poor transportation and communication networks. Development of communication and transportation network strategies for communities with limited access to roads and limited means of communication in addition to adequate training in Ebola response strategies is critical for successful management of Ebola in remote areas.
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- 2014
12. Rapid response to ebola outbreaks in remote areas — Liberia, July–November 2014
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Kateh, F., Nagbe, T., Kieta, A., Barskey, A., Gasasira, A. N., Driscoll, A., Tucker, A., Christie, A., Karmo, B., Scott, C., Bowah, C., Barradas, D., Blackley, D., Dweh, E., Warren, F., Mahoney, F., Kassay, G., Calvert, G. M., Castro, G., Logan, G., Appiah, G., Kirking, H., Koon, H., Papowitz, H., Walke, H., Cole, I. B., Montgomery, J., Neatherlin, J., Tappero, J. W., José Hagan, Forrester, J., Woodring, J., Mott, J., Attfield, K., Decock, K., Lindblade, K. A., Powell, K., Yeoman, K., Adams, L., Broyles, L. N., Slutsker, L., Larway, L., Belcher, L., Cooper, L., Santos, M., Westercamp, M., Weinber, M. P., Massoudi, M., Dea, M., Patel, M., Hennessey, M., Fomba, M., Lubogo, M., Maxwell, N., Moonan, P., Arzoaquoi, S., Gee, S., Zayzay, S., Pillai, S., Williams, S., Zarecki, S. M., Yett, S., James, S., Grube, S., Gupta, S., Nelson, T., Malibiche, T., Frank, W., Smith, W., and Nyenswah, T.
13. Community knowledge, attitudes, and practices regarding Ebola virus disease — Five counties, Liberia, September–October, 2014
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Kobayashi, M., Beer, K. D., Adam Bjork, Chatham-Stephens, K., Cherry, C. C., Arzoaquoi, S., Frank, W., Kumeh, O., Sieka, J., Yeiah, A., Painter, J. E., Yoder, J. S., Flannery, B., Mahoney, F., and Nyenswah, T. G.
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Adult ,Aged, 80 and over ,Male ,Health Knowledge, Attitudes, Practice ,Adolescent ,Data Collection ,Articles ,Hemorrhagic Fever, Ebola ,Middle Aged ,Liberia ,Young Adult ,Residence Characteristics ,Humans ,Female ,Child ,Aged - Abstract
As of July 1, 2015, Guinea, Liberia, and Sierra Leone have reported a total of 27,443 confirmed, probable, and suspected Ebola virus disease (Ebola) cases and 11,220 deaths. Guinea and Sierra Leone have yet to interrupt transmission of Ebola virus. In January, 2016, Liberia successfully achieved Ebola transmission-free status, with no new Ebola cases occurring during a 42-day period; however, new Ebola cases were reported beginning June 29, 2015. Local cultural practices and beliefs have posed challenges to disease control, and therefore, targeted, timely health messages are needed to address practices and misperceptions that might hinder efforts to stop the spread of Ebola. As early as September 2014, Ebola spread to most counties in Liberia. To assess Ebola-related knowledge, attitudes, and practices (KAP) in the community, CDC epidemiologists who were deployed to the counties (field team), carried out a survey conducted by local trained interviewers. The survey was conducted in September and October 2014 in five counties in Liberia with varying cumulative incidence of Ebola cases. Survey results indicated several findings. First, basic awareness of Ebola was high across all surveyed populations (median correct responses = 16 of 17 questions on knowledge of Ebola transmission; range = 2-17). Second, knowledge and understanding of Ebola symptoms were incomplete (e.g., 61% of respondents said they would know if they had Ebola symptoms). Finally, certain fears about the disease were present:90% of respondents indicated a fear of Ebola patients,40% a fear of cured patients, and50% a fear of treatment units (expressions of this last fear were greater in counties with lower Ebola incidence). This survey, which was conducted at a time when case counts were rapidly increasing in Liberia, indicated limited knowledge of Ebola symptoms and widespread fear of Ebola treatment units despite awareness of communication messages. Continued efforts are needed to address cultural practices and beliefs to interrupt Ebola transmission.
14. Molecular Evidence of Sexual Transmission of Ebola Virus.
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Mate, S. E., Kugelman, J. R., Nyenswah, T. G., Ladner, J. T., Wiley, M. R., Cordier-Lassalle, T., Christie, A., Schroth, G. P., Gross, S. M., Davies-Wayne, G. J., Shinde, S. A., Murugan, R., Sieh, S. B., Badio, M., Fakoli, L., Taweh, F., de Wit, E., van Doremalen, N., Munster, V. J., and Pettitt, J.
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EBOLA viral disease transmission , *EBOLA virus disease , *GENOMES , *POLYMERASE chain reaction , *RESEARCH funding , *RNA , *SEMEN , *SEXUAL intercourse , *UNSAFE sex , *REVERSE transcriptase polymerase chain reaction , *EBOLA virus - Abstract
A suspected case of sexual transmission from a male survivor of Ebola virus disease (EVD) to his female partner (the patient in this report) occurred in Liberia in March 2015. Ebola virus (EBOV) genomes assembled from blood samples from the patient and a semen sample from the survivor were consistent with direct transmission. The genomes shared three substitutions that were absent from all other Western African EBOV sequences and that were distinct from the last documented transmission chain in Liberia before this case. Combined with epidemiologic data, the genomic analysis provides evidence of sexual transmission of EBOV and evidence of the persistence of infective EBOV in semen for 179 days or more after the onset of EVD. (Funded by the Defense Threat Reduction Agency and others.). [ABSTRACT FROM AUTHOR]
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- 2015
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15. Integrated Disease Surveillance and Response in Liberia: national expert group meeting, 15-19 September 2015.
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Sanford Wesseh, C., Nagbe, T., Kruger, J., Hamblion, E., Clement, P., Bawo, L., Weston, E., Gasasira, A., Mahmoud, N., Nyenswah, T., Agaku, I., and Williams, D.
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INTERPROFESSIONAL relations , *MEETINGS , *PUBLIC health laws , *PUBLIC health surveillance , *HUMAN services programs - Abstract
The article discusses the highlights of the meeting of the Integrated Disease Surveillance and Response (IDSR) 5-year Strategic Planning Advisory Group of Experts held on Septpember 15-19, in Buchanan, Grand Bassa, Liberia. Participants included representatives from Ministry of Health and Social Welfare (MOHSW), the World Health Organization (WHO) and the U.S. Centers for Disease Control and Prevention (CDC) and their goal was to shape IDSR activities for a 5-year period.
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- 2016
16. How to prepare for the next inevitable Ebola outbreak: lessons from West Africa.
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Bosa HK, Kamara N, Aragaw M, Wayengera M, Katoto PDMC, Ihekweazu C, Fallah MP, Douno M, Agyarko RK, Mbala P, Traoré MS, Talisuna A, Bangura J, Mwebesa HG, Bousso A, Joshua O, Squire JS, Nyenswah T, Nelson TV, Maeda J, Olu OO, Woldemariam YT, Djoudalbaye B, Ngongo AN, Raji T, Kasolo FC, Fall IS, Ouma Ogwell A, Aceng JR, and Kaseya J
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- 2024
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17. Risk Factors for Ebola Virus Persistence in Semen of Survivors in Liberia.
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Dyal J, Kofman A, Kollie JZ, Fankhauser J, Orone R, Soka MJ, Glaybo U, Kiawu A, Freeman E, Giah G, Tony HD, Faikai M, Jawara M, Kamara K, Kamara S, Flowers B, Kromah ML, Desamu-Thorpe R, Graziano J, Brown S, Morales-Betoulle ME, Cannon DL, Su K, Linderman SL, Plucinski M, Rogier E, Bradbury RS, Secor WE, Bowden KE, Phillips C, Carrington MN, Park YH, Martin MP, Aguinaga MDP, Mushi R, Haberling DL, Ervin ED, Klena JD, Massaquoi M, Nyenswah T, Nichol ST, Chiriboga DE, Williams DE, Hinrichs SH, Ahmed R, Vonhm BT, Rollin PE, Purpura LJ, and Choi MJ
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- Humans, Male, Semen, Liberia epidemiology, Retrospective Studies, HLA-C Antigens, Survivors, Risk Factors, Ebolavirus genetics, Hemorrhagic Fever, Ebola epidemiology
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Background: Long-term persistence of Ebola virus (EBOV) in immunologically privileged sites has been implicated in recent outbreaks of Ebola virus disease (EVD) in Guinea and the Democratic Republic of Congo. This study was designed to understand how the acute course of EVD, convalescence, and host immune and genetic factors may play a role in prolonged viral persistence in semen., Methods: A cohort of 131 male EVD survivors in Liberia were enrolled in a case-case study. "Early clearers" were defined as those with 2 consecutive negative EBOV semen test results by real-time reverse-transcription polymerase chain reaction (rRT-PCR) ≥2 weeks apart within 1 year after discharge from the Ebola treatment unit or acute EVD. "Late clearers" had detectable EBOV RNA by rRT-PCR >1 year after discharge from the Ebola treatment unit or acute EVD. Retrospective histories of their EVD clinical course were collected by questionnaire, followed by complete physical examinations and blood work., Results: Compared with early clearers, late clearers were older (median, 42.5 years; P < .001) and experienced fewer severe clinical symptoms (median 2, P = .006). Late clearers had more lens opacifications (odds ratio, 3.9 [95% confidence interval, 1.1-13.3]; P = .03), after accounting for age, higher total serum immunoglobulin G3 (IgG3) titers (P = .005), and increased expression of the HLA-C*03:04 allele (0.14 [.02-.70]; P = .007)., Conclusions: Older age, decreased illness severity, elevated total serum IgG3 and HLA-C*03:04 allele expression may be risk factors for the persistence of EBOV in the semen of EVD survivors. EBOV persistence in semen may also be associated with its persistence in other immunologically protected sites, such as the eye., Competing Interests: Potential conflicts of interest. A. Kofman reports support for attending meetings and/or travel from the CDC Foundation. R. S. B. reports $11 000 in grants or contracts from the University of Mississippi Medical Centre and $7500 in contracts or grants from the Federation University Centre for Health Transformation and Innovation, both unrelated to this work; a registration fee waiver ($650) in support of attending the Australian Society for Microbiology 2022 meeting; World Intellectual Property Organization patent WO2019060840, (Removing Interfering Host Nucleic Acids for Molecular Parasite Detection; granted 28 March 2019; patent royalties to the CDC Division of Parasitic Diseases and Malaria); unpaid participation on the Surveillance Cross-cutting Subgroup of the World Health Organization Neglected Tropical Disease Diagnostic Technical Advisory Group, unpaid participation as a member of the Strongyloides subgroup of the WHO Technical Advisory Group on Schistosomiasis and Transmitted Helminthiases, and unpaid participation at a WHO policy meeting with Dora Buonfrate of Ospidale Sacra Cuore (Italy) and Antonio Montresor of the WHO (Diagnostic Methods for the Control of Strongyloidiasis; 29 September 2020); and leadership or fiduciary roles with Strongyloides Australia (as vice president), the Australian Society for Parasitology Education Committee, and the Australian Society for Infectious Diseases Zoonosis Special Interest Group. S. H. H. reports consulting fees paid to the author from Leavitt Associates; support for attending meetings and/or travel from their employer (University of Nebraska Medical Center); patents planned, issued or pending (none related to this work); participation on the advisory board of the HHS National Coordinator of IT; and ownership of stock or stock options (none related to this article). All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (Published by Oxford University Press on behalf of the Infectious Diseases Society of America 2022.)
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- 2023
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18. Characteristics of Ebola Virus Disease Survivor Blood and Semen in Liberia: Serology and Reverse Transcription Polymerase Chain Reaction (RT-PCR).
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Kofman A, Linderman S, Su K, Purpura LJ, Ervin E, Brown S, Morales-Betoulle M, Graziano J, Cannon DL, Klena JD, Desamu-Thorpe R, Fankhauser J, Orone R, Moses S, Glaybo U, Massaquoi M, Nyenswah T, Nichol ST, Kollie J, Kiawu A, Freeman E, Giah G, Tony H, Faikai M, Jawara M, Kamara K, Kamara S, Flowers B, Mohammed K, Chiriboga D, Williams DE, Hinrichs SH, Ahmed R, Vonhm B, Rollin PE, and Choi MJ
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- Antibodies, Viral, Humans, Leukocytes, Mononuclear, Liberia epidemiology, Male, Reverse Transcriptase Polymerase Chain Reaction, Reverse Transcription, Semen, Survivors, Ebolavirus genetics, Hemorrhagic Fever, Ebola
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Introduction: Ebola virus (EBOV), species Zaire ebolavirus, may persist in the semen of male survivors of Ebola virus disease (EVD). We conducted a study of male survivors of the 2014-2016 EVD outbreak in Liberia and evaluated their immune responses to EBOV. We report here findings from the serologic testing of blood for EBOV-specific antibodies, molecular testing for EBOV in blood and semen, and serologic testing of peripheral blood mononuclear cells (PBMCs) in a subset of study participants., Methods: We tested for EBOV RNA in blood by quantitative reverse transcription polymerase chain reaction (qRT-PCR), and for anti-EBOV-specific immunoglobulin M (IgM) and immunoglobulin G (IgG) antibodies by enzyme-linked immunosorbent assay (ELISA) for 126 study participants. We performed PBMC analysis on a subgroup of 26 IgG-negative participants., Results: All 126 participants tested negative for EBOV RNA in blood by qRT-PCR. The blood of 26 participants tested negative for EBOV-specific IgG antibodies by ELISA. PBMCs were collected from 23/26 EBOV IgG-negative participants. Of these, 1/23 participants had PBMCs that produced anti-EBOV-specific IgG antibodies upon stimulation with EBOV-specific glycoprotein (GP) and nucleoprotein (NP) antigens., Conclusions: The blood of EVD survivors, collected when they did not have symptoms meeting the case definition for acute or relapsed EVD, is unlikely to pose a risk for EBOV transmission. We identified 1 IgM/IgG negative participant who had PBMCs that produced anti-EBOV-specific antibodies upon stimulation. Immunogenicity following acute EBOV infection may exist along a spectrum, and absence of antibody response should not be exclusionary in determining an individual's status as a survivor of EVD., (Published by Oxford University Press for the Infectious Diseases Society of America 2020.)
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- 2021
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19. Lassa virus circulating in Liberia: a retrospective genomic characterisation.
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Wiley MR, Fakoli L, Letizia AG, Welch SR, Ladner JT, Prieto K, Reyes D, Espy N, Chitty JA, Pratt CB, Di Paola N, Taweh F, Williams D, Saindon J, Davis WG, Patel K, Holland M, Negrón D, Ströher U, Nichol ST, Sozhamannan S, Rollin PE, Dogba J, Nyenswah T, Bolay F, Albariño CG, Fallah M, and Palacios G
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- Genome, Viral, Genomics methods, Genotype, Humans, Lassa Fever diagnosis, Lassa virus classification, Liberia epidemiology, Phylogeny, Public Health Surveillance, Lassa Fever epidemiology, Lassa Fever virology, Lassa virus genetics
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Background: An alarming rise in reported Lassa fever cases continues in west Africa. Liberia has the largest reported per capita incidence of Lassa fever cases in the region, but genomic information on the circulating strains is scarce. The aim of this study was to substantially increase the available pool of data to help foster the generation of targeted diagnostics and therapeutics., Methods: Clinical serum samples collected from 17 positive Lassa fever cases originating from Liberia (16 cases) and Guinea (one case) within the past decade were processed at the Liberian Institute for Biomedical Research using a targeted-enrichment sequencing approach, producing 17 near-complete genomes. An additional 17 Lassa virus sequences (two from Guinea, seven from Liberia, four from Nigeria, and four from Sierra Leone) were generated from viral stocks at the US Centers for Disease Control and Prevention (Atlanta, GA) from samples originating from the Mano River Union (Guinea, Liberia, and Sierra Leone) region and Nigeria. Sequences were compared with existing Lassa virus genomes and published Lassa virus assays., Findings: The 23 new Liberian Lassa virus genomes grouped within two clades (IV.A and IV.B) and were genetically divergent from those circulating elsewhere in west Africa. A time-calibrated phylogeographic analysis incorporating the new genomes suggests Liberia was the entry point of Lassa virus into the Mano River Union region and estimates the introduction to have occurred between 300-350 years ago. A high level of diversity exists between the Liberian Lassa virus genomes. Nucleotide percent difference between Liberian Lassa virus genomes ranged up to 27% in the L segment and 18% in the S segment. The commonly used Lassa Josiah-MGB assay was up to 25% divergent across the target sites when aligned to the Liberian Lassa virus genomes., Interpretation: The large amount of novel genomic diversity of Lassa virus observed in the Liberian cases emphasises the need to match deployed diagnostic capabilities with locally circulating strains and underscores the importance of evaluating cross-lineage protection in the development of vaccines and therapeutics., Funding: Defense Biological Product Assurance Office of the US Department of Defense and the Armed Forces Health Surveillance Branch and its Global Emerging Infections Surveillance and Response Section., (Copyright © 2019 Elsevier Ltd. All rights reserved.)
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- 2019
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20. Establishing National Multisectoral Coordination and collaboration mechanisms to prevent, detect, and respond to public health threats in Guinea, Liberia, and Sierra Leone 2016-2018.
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Agbo S, Gbaguidi L, Biliyar C, Sylla S, Fahnbulleh M, Dogba J, Keita S, Kamara S, Jambai A, Harris A, Nyenswah T, Seni M, Bhoye S, Duale S, and Kitua A
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Background: The governments of Guinea, Liberia, and Sierra Leone have acknowledged that weak health systems and poor coordination of efforts hampered effectiveness of the 2014-2016 Ebola outbreak response. The bitter experience of the Ebola outbreak response served as an important catalyst for increased efforts to comply with World Health Organization (WHO) International Health Regulations (IHR 2005), Performance of Veterinary Services (PVS) Pathway capacities, and Global Health Security Agenda (GHSA) goals. In November 2016, an interministerial meeting held in Dakar, Senegal, resulted in formalized commitments from the three nations to strengthen resilience to health threats by establishing a Regional Strategic Roadmap to institutionalize the One Health approach. Since then, each country has made significant progress towards establishing National One Health Platforms to coordinate health security interventions, in collaboration with international partners. This paper outlines the methodology and results of these efforts for the period June 2016-January 2019, with a specific focus on activities supported by the US Agency for International Development (USAID)-funded Preparedness & Response (P&R) project., Objectives: In support of the West African Health Organization's November 2016 Regional Strategic Roadmap for institutionalization of the One Health approach, the Preparedness & Response (P&R) project worked in coordination with national partners in Guinea, Liberia, and Sierra Leone to establish multisectoral, One Health coordinating mechanisms., Methodology: The global USAID-funded P&R project was launched in 2014 to support the achievement of this objective, and began coordinating with partners in Guinea, Liberia, and Sierra Leone in 2016 to tailor its multi-step conceptual framework to fit the priorities and operating constraints of national stakeholders. Organized in phases of Collaboration (building key relationships), Formalization (defining and establishing a coordination structure), and Implementation (using newfound coordination to produce better health security outcomes), the framework features steps such as One Health sensitizations for multisectoral national stakeholders, development of One Health platform terms of reference and other operating guidelines, and application of these tools to coordination of technical assistance during outbreaks., Results: In Guinea, Liberia, and Sierra Leone, in less than 3 yrs there has been a marked improvement in cross-sectoral coordination on health security actions. All three countries have passed legislation establishing permanent multisectoral coordination mechanisms referred to in this document as National One Health Platforms, or simply Platforms; instituted an annual mechanism for assessing capacity and performance of these platforms to lead health security actions; and have undertaken key steps towards developing and updating National Preparedness & Response Plans which truly reflect the multisectoral nature of emerging disease threats. However, multisectoral coordination is a work in progress: government stakeholders and their international partners continue to work together to further strengthen national ownership and investment in the newly established Platforms., Conclusion and Next Steps: Newly established Platforms in Guinea, Liberia, and Sierra Leone offer a long-term structure for coordinating health security actions. However, given the short period of time since their formalization, they depend on continued national, regional, and international resources to build from recent progress and further improve capacity and performance. Regional programs such as the World Bank Regional Disease Surveillance Systems Enhancement (REDISSE) project are of critical importance in keeping the momentum going. The highlighted progress and outputs to date provide reasons and motivation for continued, longer-term investment in the Platforms., Competing Interests: Competing interestsAll authors declare no competing interest., (© The Author(s) 2019.)
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- 2019
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21. Rubella transmission and the risk of congenital rubella syndrome in Liberia: a need to introduce rubella-containing vaccine in the routine immunization program.
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Woyessa AB, Ali MS, Korkpor TK, Tuopileyi R 2nd, Kohar HT, Dogba J, Baller A, Monday J, Abdullahi S, Nagbe T, Mulbah G, Kromah M, Sesay J, Yealue K, Nyenswah T, and Gebrekidan MZ
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- Adolescent, Adult, Child, Child, Preschool, Databases, Factual, Female, Humans, Immunization Programs, Immunoglobulin M blood, Infant, Liberia epidemiology, Male, Measles epidemiology, Retrospective Studies, Rubella Syndrome, Congenital epidemiology, Rubella Syndrome, Congenital transmission, Rubella virus immunology, Seasons, Young Adult, Rubella Syndrome, Congenital diagnosis, Rubella Vaccine immunology
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Background: Rubella is an RNA virus in the genus Rubivirus within the Matonaviridae family. Rubella remains a leading vaccine-preventable cause of birth defects. Most African countries including Liberia do not currently provide rubella-containing vaccine (RCV) in their immunization program. We analyzed the existing surveillance data to describe rubella cases and identify the at-risk population., Methods: We conducted a retrospective descriptive statistics on the suspected-measles case-based surveillance data that obtained from the national database. Suspected-measles cases who were negative and indeterminate for measles IgM and tested for rubella IgM were extracted from the database. We used only rubella IgM positive cases to calculate trends and percentages by person, place and time. The cumulative-percent curve was used to visually describe the age distribution of rubella cases., Results: During 2017-2018, a total of 2027 suspected-measles cases with known laboratory results were reported; of which, 1307 were tested for rubella IgM. Among tested cases, 472 (36%) were positive, 769 (59%) were negative and 66 (5%) were indeterminate for rubella IgM. Female contributed 269 (57%) of the confirmed rubella cases respectively. The median age was 7 years with an interquartile range of 5-10 years. From the total rubella cases, 6 (1%) were under 1 year, 109 (23%) were 1-4 years, 207 (44%) were 5-9 years, 87 (18%) were 10-14 years and 56 (12%) were more than or equal to 15 years. Women in their reproductive-age contributed 23 (5%) of rubella cases with 17% positivity rate. Two-thirds or 307 (65%) of the cases were reported from February to May which is dry season in Liberia., Conclusions: Our analysis revealed that rubella was widely circulating in Liberia. Majority of the cases were reported among children < 15 years. However, rubella was also reported among women of reproductive age and infants < 1 year with no report of congenital rubella syndrome (CRS). Detail investigation of rubella cases among infants of < 1 year and women of reproductive age is important to uncover CRS. Establishment of CRS surveillance and the introduction of RCV in the immunization program are crucial to prevent rubella infection and avert the risk of CRS.
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- 2019
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22. Strengthening healthcare workforce capacity during and post Ebola outbreaks in Liberia: an innovative and effective approach to epidemic preparedness and response.
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Bemah P, Baller A, Cooper C, Massaquoi M, Skrip L, Rude JM, Twyman A, Moses P, Seifeldin R, Udhayashankar K, Enrique K, Niescierenko M, Owen C, Brown L, Boukaré B, Williams D, Nyenswah T, Kateh F, Dahn B, Gasasira A, and Fall IS
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- Capacity Building, Delivery of Health Care organization & administration, Epidemics prevention & control, Hemorrhagic Fever, Ebola epidemiology, Humans, Liberia epidemiology, Public Health, Disease Outbreaks prevention & control, Health Personnel organization & administration, Health Workforce organization & administration, Hemorrhagic Fever, Ebola prevention & control
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Introduction: The 2014-2016 Ebola virus disease (EVD) outbreak in Liberia highlighted the importance of robust preparedness measures for a well-coordinated response; the initially delayed response contributed to the steep incidence of cases, infections among health care workers, and a collapse of the health care system. To strengthen local capacity and combat disease transmission, various healthcare worker (HCW) trainings, including the Ebola treatment unit (ETU) training, safe & quality services (SQS) training and rapid response team (RRT), were developed and implemented between 2014 and 2017., Methods: Data from the ETU, SQS and RRT trainings were analyzed to determine knowledge and confidence gained., Results: The ETU, SQS and RRT training were completed by a total of 21,248 participants. There were improvements in knowledge and confidence, an associated reduction in HCWs infection and reduced response time to subsequent public health events., Conclusion: No infections were reported by healthcare workers in Liberia since the completion of these training programs. HCW training programmes initiated during and post disease outbreak can boost public trust in the health system while providing an entry point for establishing an Epidemic Preparedness and Response (EPR) framework in resource-limited settings., Competing Interests: The authors declare no competing interest.
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- 2019
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23. Integrated disease surveillance and response implementation in Liberia, findings from a data quality audit, 2017.
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Nagbe T, Yealue K, Yeabah T, Rude JM, Fallah M, Skrip L, Agbo C, Mouhamoud N, Okeibunor JC, Tuopileyi R, Talisuna A, Yahaya AA, Rajatonirina S, Frimpong JA, Stephen M, Hamblion E, Nyenswah T, Dahn B, Gasasira A, and Fall IS
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- Cluster Analysis, Communication, Data Accuracy, Health Facilities statistics & numerical data, Humans, Liberia epidemiology, Pilot Projects, Reproducibility of Results, Risk, Surveys and Questionnaires, Communicable Disease Control methods, Communicable Diseases epidemiology, Public Health, Public Health Surveillance methods
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Introduction: in spite of the efforts and resources committed by the division of infectious disease and epidemiology (DIDE) of the national public health institute of Liberia (NPHIL)/Ministry of health to strengthening integrated disease surveillance and response (IDSR) across the country, quality data management system remains a challenge to the Liberia NPHIL/MoH (Ministry of health), with incomplete and inconsistent data constantly being reported at different levels of the surveillance system. As part of the monitoring and evaluation strategy for IDSR continuous improvement, data quality assessment (DQA) of the IDSR system to identify successes and gaps in the disease surveillance information system (DSIS) with the aim of ensuring data accuracy, reliability and credibility of generated data at all levels of the health system; and to inform an operational plan to address data quality needs for IDSR activities is required., Methods: multi-stage cluster sampling that included stage 1: simple random sample (SRS) of five counties, stage 2: simple random sample of two districts and stage 3: simple random sample of three health facilities was employed during the study pilot assessment done in Montserrado County with Liberia institute of bio medical research (LIBR) inclusive. A total of thirty (30) facilities was targeted, twenty nine (29) of the facilities were successfully audited: one hospital, two health centers, twenty clinics and respondents included: health facility surveillance focal persons (HFSFP), zonal surveillance officers (ZSOs), district surveillance officers (DSOs) and County surveillance officers (CSOs)., Results: the assessment revealed that data use is limited to risk communication and sensitization, no examples of use of data for prioritization or decision making at the subnational level. The findings indicated the following: 23% (7/29) of health facilities having dedicated phone for reporting, 20% (6/29) reported no cell phone network, 17% (5/29) reported daily access to internet, 56.6% (17/29) reported a consistent supply of electricity, and no facility reported access to functional laptop. It was also established that 40% of health facilities have experienced a stock out of laboratory specimens packaging supplies in the past year. About half of the surveyed health facilities delivered specimens through riders and were assisted by the DSOs. There was a large variety in the reported packaging process, with many staff unable to give clear processes. The findings during the exercise also indicated that 91% of health facility staff were mentored on data quality check and data management including the importance of the timeliness and completeness of reporting through supportive supervision and mentorship; 65% of the health facility assessed received supervision on IDSR core performance indicator; and 58% of the health facility officer in charge gave feedback to the community level., Conclusion: public health is a data-intensive field which needs high-quality data and authoritative information to support public health assessment, decision-making and to assure the health of communities. Data quality assessment is important for public health. In this review completeness, accuracy, and timeliness were the three most-assessed attributes. Quantitative data quality assessment primarily used descriptive surveys and data audits, while qualitative data quality assessment methods include primarily interviews, questionnaires administration, documentation reviews and field observations. We found that data-use and data-process have not been given adequate attention, although they were equally important factors which determine the quality of data. Other limitations of the previous studies were inconsistency in the definition of the attributes of data quality, failure to address data users' concerns and a lack of triangulation of mixed methods for data quality assessment. The reliability and validity of the data quality assessment were rarely reported. These gaps suggest that in the future, data quality assessment for public health needs to consider equally the three dimensions of data quality, data use and data process. Measuring the perceptions of end users or consumers towards data quality will enrich our understanding of data quality issues. Data use is limited to risk communication and sensitization, no examples of use of data for prioritization or decision making at the sub national level., Competing Interests: The authors declare no competing interest.
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- 2019
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24. Enhancing laboratory capacity during Ebola virus disease (EVD) heightened surveillance in Liberia: lessons learned and recommendations.
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Katawera V, Kohar H, Mahmoud N, Raftery P, Wasunna C, Humrighouse B, Hardy P, Saindon J, Schoepp R, Makvandi M, Hensley L, Condell O, Durski K, Singaravelu S, Gahimbare L, Olinger G, Kateh F, Naidoo D, Nsubuga P, Formenty P, Nyenswah T, Coulibaly SO, Okeibunor JC, Talisuna A, Yahaya AA, Rajatonirina S, Williams D, Dahn B, Gasasira A, and Fall IS
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- Clinical Laboratory Techniques, Hemorrhagic Fever, Ebola diagnosis, Hemorrhagic Fever, Ebola prevention & control, Humans, Liberia epidemiology, Capacity Building, Disease Outbreaks prevention & control, Hemorrhagic Fever, Ebola epidemiology, Laboratories organization & administration
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Introduction: Following a declaration by the World Health Organization that Liberia had successfully interrupted Ebola virus transmission on May 9th, 2015; the country entered a period of enhanced surveillance. The number of cases had significantly reduced prior to the declaration, leading to closure of eight out of eleven Ebola testing laboratories. Enhanced surveillance led to an abrupt increase in demand for laboratory services. We report interventions, achievements, lessons learned and recommendations drawn from enhancing laboratory capacity., Methods: Using archived data, we reported before and after interventions that aimed at increasing laboratory capacity. Laboratory capacity was defined by number of laboratories with Ebola Virus Disease (EVD) testing capacity, number of competent staff, number of specimens tested, specimen backlog, daily and surge testing capacity, and turnaround time. Using Stata 14 (Stata Corporation, College Station, TX, USA), medians and trends were reported for all continuous variables., Results: Between May and December 2015, interventions including recruitment and training of eight staff, establishment of one EVD laboratory facility, implementation of ten Ebola GeneXpert diagnostic platforms, and establishment of working shifts yielded an 8-fold increase in number of specimens tested, a reduction in specimens backlog to zero, and restoration of turn-around time to 24 hours. This enabled a more efficient surveillance system that facilitated timely detection and containment of two EVD clusters observed thereafter., Conclusion: Effective enhancement of laboratory services during high demand periods requires a combination of context-specific interventions. Building and ensuring sustainability of local capacity is an integral part of effective surveillance and disease outbreak response efforts., Competing Interests: The authors declare no competing interest.
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- 2019
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25. Rapid response to meningococcal disease cluster in Foya district, Lofa County, Liberia January to February 2018.
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Rude JM, Kortimai L, Mosoka F, April B, Nuha M, Katawera V, Nagbe T, Tamba A, Desmound W, Mulbah R, Pierre F, Onuche EM, Chukwudi JO, Talisuna A, Yahaya AA, Rajatonirina S, Nyenswah T, Dahn B, Gasasira A, and Fall IS
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- Adolescent, Aged, 80 and over, Anti-Bacterial Agents administration & dosage, Child, Child, Preschool, Ciprofloxacin administration & dosage, Female, Humans, Liberia epidemiology, Male, Meningitis, Meningococcal prevention & control, Meningococcal Infections prevention & control, Middle Aged, Population Surveillance, Disease Outbreaks, Meningitis, Meningococcal epidemiology, Meningococcal Infections epidemiology, Neisseria meningitidis isolation & purification
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Introduction: Early detection of disease outbreaks is paramount to averting associated morbidity and mortality. In January 2018, nine cases including four deaths associated with meningococcal disease were reported in three communities of Foya district, Lofa County, Liberia. Due to the porous borders between Lofa County and communities in neighboring Sierra Leone and Guinea, the possibility of epidemic spread of meningococcal disease could not be underestimated., Methods: The county incidence management system (IMS) was activated that coordinated the response activities. Daily meetings were conducted to review response activities progress and challenges. The district rapid response team (DRRT) was the frontline responders. The case based investigation form; case line list and contacts list were used for data collection. A data base was established and analysed daily for action. Tablets Ciprofloxacin were given for chemoprophylaxis., Results: Sixty-seven percent (67%) of the cases were males and also 67% of the affected age range was 3 to 14 years and attending primary school. The attack rate was 7/1,000 population and case fatality rate was 44.4 % with majority of the deaths occurring within 24-48 hours of symptoms onset. Three of the cases tested positive for Neisseria Meningitidis sero-type W while six cases were Epi-linked. None of the cases had recent meningococcal vaccination and no health-worker infections were registered., Conclusion: This cluster of cases of meningococcal disease during the meningitis season in a country that is not traditionally part of the meningitis belt emphasized the need for strengthening surveillance, preparedness and response capacity to meningitis., Competing Interests: The authors declare no competing interest.
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- 2019
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26. Lessons learned from detecting and responding to recurrent measles outbreak in Liberia post Ebola-Epidemic 2016-2017.
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Nagbe T, Williams GS, Rude JM, Flomo S, Yeabah T, Fallah M, Skrip L, Agbo C, Mahmoud N, Okeibunor JC, Yealue K, Talisuna A, Yahaya AA, Rajatonirina S, Clarke A, Hamblion E, Nyenswah T, Dahn B, Gasasira A, and Fall IS
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- Child, Child, Preschool, Female, Hemorrhagic Fever, Ebola epidemiology, Humans, Immunization methods, Infant, Liberia epidemiology, Male, Measles prevention & control, Public Health Surveillance, Recurrence, Disease Outbreaks, Immunization Programs organization & administration, Measles epidemiology, Measles Vaccine administration & dosage
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Introduction: Measles is an acute viral disease that remains endemic in much of sub-Sahara Africa, including Liberia. The 2014 Ebola epidemic disrupted an already fragile health system contributing to low uptake of immunization services, population immunity remained low thus facilitating recurrent outbreaks of measles in Liberia. We describe lessons learnt from detecting and responding to recurrent outbreaks of measles two years post the 2014 Ebola epidemic in Liberia., Methods: We conducted a descriptive study using the findings from Integrated Diseases Surveillance and Response (IDSR) 15 counties, National Public Health Institute of Liberia (NPHIL), National Public Health Reference Laboratory (NPHRL) and District Health Information Software (DIHS2) data conducted from October to December, 2017. We perused the outbreaks line lists and other key documents submitted by the counties to the national level from January 2016 to December 2017., Results: From January 2016 to December 2017, 2,954 suspected cases of measles were reported through IDSR. Four hundred sixty-seven (467) were laboratory confirmed (IgM-positive), 776 epidemiologically linked, 574 clinically confirmed, and 1,137 discarded (IgM-negative). Nine deaths out of 1817 cases were reported, a case fatality rate of 0.5%; 49% were children below the age of 5 years. Twenty-two percent (405/1817) of the confirmed cases were vaccinated while the vaccination status of 55% (994/1817) was unknown., Conclusion: Revitalization of IDSR contributed to increased detection and reporting of suspected cases of measles thus facilitating early identification and response to outbreaks. Priority needs to be given to increasing the uptake of routine immunization services, introducing a second dose of measles vaccine in the routine immunization program and conducting a high-quality supplementary measles immunization campaign for age group 1 to 10 years to provide protection for a huge cohort of susceptible., Competing Interests: The authors declare no competing interest.
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- 2019
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27. Risk communication during disease outbreak response in post-Ebola Liberia: experiences in Sinoe and Grand Kru counties.
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Sumo J, George G, Weah V, Skrip L, Rude JM, Clement P, Naiene JD, Luwaga L, Okeibunor JC, Talisuna A, Yahaya AA, Rajatonirina S, Fallah M, Nyenswah T, Dahn B, Gasasira A, and Fall IS
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- Capacity Building, Health Promotion methods, Humans, Liberia epidemiology, Public Health, Risk, Communication, Disease Outbreaks prevention & control, Hemorrhagic Fever, Ebola epidemiology, Meningococcal Infections epidemiology
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Introduction: Lessons learned from the Ebola virus disease (EVD) outbreak enabled Liberia to develop a health plan for strengthening public health capacity against potential public health threats. risk communication is one of the core pillars that provide life-saving information and knowledge for the public to take preventive and proactive actions against public health threats. These were applied in response to the post-ebola meningococcal septicemia and meningitis outbreaks in Sinoe and Grand Kru counties. This paper documents risk communication experiences in these post-ebola outbreaks in Liberia., Methods: Risk Communication and health promotion strategies were deployed in developing response plans and promptly disseminating key messages to affected communities to mitigate the risks. Other strategies included engagement of community leaders, partnership with the media and dissemination of messages through the community radios, active monitoring community risk perceptions and compliance, rumor management, mobile stage and interpersonal communication (IPC) during the Meningococcal disease outbreaks in Sinoe and Grand Kru counties., Results: In Sinoe, about 36,891 households or families in 10 health districts were reached through IPC and dialogue. Circulating rumors such as "Ebola" was the cause of deaths was timely and promptly mitigated. There was increased trust and adherence to health advice including prompt reporting of sick people to the nearest health facility in the two counties., Conclusion: Risk communication and health promotion encouraged community support and involvement in any response to public threats and events. No doubt, risk communication and health promotion play an important role in preparedness and response to public health emergencies., Competing Interests: The authors declare no competing interest.
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- 2019
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28. The implementation of integrated disease surveillance and response in Liberia after Ebola virus disease outbreak 2015-2017.
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Nagbe T, Naiene JD, Rude JM, Mahmoud N, Kromah M, Sesay J, Chukwudi OJ, Stephen M, Talisuna A, Yahaya AA, Rajatonirina S, Fallah M, Nyenswah T, Dahn B, Gasasira A, and Fall IS
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- Cell Phone, Cross-Sectional Studies, Hemorrhagic Fever, Ebola prevention & control, Humans, Liberia epidemiology, Pilot Projects, Disease Outbreaks prevention & control, Hemorrhagic Fever, Ebola epidemiology, Mobile Applications, Public Health Surveillance methods
- Abstract
Introduction: Although Liberia adapted the integrated diseases surveillance and response (IDSR) in 2004 as a platform for implementation of International Health Regulation (IHR (2005)), IDSR was not actively implemented until 2015. Some innovations and best practices were observed during the implementation of IDSR in Liberia after Ebola virus disease outbreak. This paper describes the different approaches used for implementation of IDSR in Liberia from 2015 to 2017., Methods: We conducted a cross-sectional study using the findings from IDSR supervisions conducted from September to November 2017 and perused the outbreaks linelists submitted by the counties to the national level from January to December 2017 and key documents available at the national level., Results: In 2017, the country piloted the use of mobile phones application to store and send data from the health facilities to the national level. In addition, an electronic platform for acute flaccid paralysis (AFP) surveillance called Auto-Visual AFP Detection and Reporting (AVADAR) was piloted in Montserrado County during the first semester of 2017. The timeliness and completeness of reports submitted from the counties to national level were above the target of 80% stable despite the challenges like insufficient resources, including skilled staff., Conclusion: IDSR is being actively implemented in Liberia since 2015. Although the country is facing the same challenges as other countries during the early stages of implementation of IDSR, the several innovations were implemented in a short time. The surveillance system reveled to be resilient, despite the challenges., Competing Interests: The authors declare no competing interest.
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- 2019
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29. Strengthening acute flaccid paralysis surveillance post Ebola virus disease outbreak 2015 - 2017: the Liberia experience.
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Clarke A, Blidi N, Dahn B, Agbo C, Tuopileyi R, Rude MJ, Williams GS, Seid M, Gasasira A, Wambai Z, Skrip L, Nagbe T, Nyenswah T, Chukwudi JO, Johnson T, Talisuna A, Yahaya AA, Rajatonirina S, and Fall IS
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- Acute Disease, Adolescent, Child, Child, Preschool, Feces virology, Female, Geographic Information Systems, Guidelines as Topic, Humans, Infant, Infant, Newborn, Liberia epidemiology, Male, Paralysis epidemiology, Paralysis prevention & control, Paralysis virology, Poliomyelitis prevention & control, Poliovirus Vaccine, Oral administration & dosage, Disease Outbreaks prevention & control, Hemorrhagic Fever, Ebola epidemiology, Poliomyelitis epidemiology, Population Surveillance methods
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Introduction: Liberia remains at high risk of poliovirus outbreaks due to importation. The country maintained certification level acute flaccid paralysis (AFP) surveillance indicators each year until 2014 due to Ebola outbreak. During this time, there was a significant drop in non-polio AFP rate to (1.2/100,000 population under 15 years) in 2015 from 2.9/100, 000 population in 2013, due to a variety of reasons including suspension on shipment of acute flaccid paralysis stool specimen to the polio regional lab in Abidjan, refocusing of surveillance officers attention solely on Ebola virus disease (EVD) surveillance, inactivation of national polio expert committee (NPEC) and National Certification Committee (NCC). The Ministry of Health (MOH) supported by partners worked to restore AFP surveillance post EVD outbreak and ensure that Liberia maintains its polio free certification., Methods: We conducted a desk review to summarize key activities conducted to restore acute flaccid paralysis (AFP) surveillance based on World Health Organization (WHO) AFP surveillance guidelines for Africa region. We also reviewed AFP surveillance indicators and introduction of new technologies. Data sources were from program reports, scientific and gray literature, AFP database, auto visual AFP detection and reporting (AVADAR) and ONA Servers. Data analysis was done using Microsoft excel and access spread sheets, ONA software and Geographic Information System (Arc GIS)., Results: AFP surveillance indicators improved with a rebound of non-polio AFP rate (NPAFP) rate from 1.2/100, 000 population under 15 years in 2015 to 4.3 in 2017. The stool adequacy rate at the national level also improved from 79% in 2016 to 82% in 2017, meeting the global target. The percentage of counties meeting the two critical AFP surveillance indicators NPAFP rate and stool adequacy improved from 47% in 2016 to 67% in 2017.The Last polio case reported in Liberia was in late 2010., Conclusion: There was significant improvement in the key AFP surveillance indicators such as NPAFP rate and stool adequacy with a 3.5 fold increase in NPAFP from 2014 to 2017. By 2017, the stool adequacy rate was up to target levels compared to 2016, which was below target level of 80%. The number of counties meeting target for the two critical AFP surveillance indicators also increased by 20% points between 2016 and 2017. Similarly there was approximately two-fold increase in the oral polio vaccines (OPV) coverage for the reported AFP cases between 2015 and 2017. Strategies employed to address gaps in AFP surveillance included enhanced active case search for AFP, re-instatement of laboratory testing, supportive supervision in addition to facilitating enhanced community engagement in surveillance activities. New technologies such as AVADAR Pilot, electronic integrated supportive supervision (ISS) and electronic surveillance (eSurv) tools were introduced to improve real time AFP case reporting. However, there remain residual gaps in AFP surveillance in the country especially at the sub-national level. Similarly, the newly introduced technologies will require continued funding and capacity building for MOH staff to ensure sustainability of the initiatives., Competing Interests: The authors declare no competing interest.
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- 2019
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30. Financing Common Goods for Health: Core Government Functions in Health Emergency and Disaster Risk Management.
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Peters DH, Hanssen O, Gutierrez J, Abrahams J, and Nyenswah T
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- Civil Defense methods, Government Programs economics, Government Programs trends, Health Care Costs, Humans, Risk Management methods, Civil Defense economics, Government Programs standards, Risk Management economics
- Abstract
In the absence of good data on the costs and comparative benefits from investing in health emergency and disaster risk management (EDRM), governments have been reluctant to invest adequately in systems to reduce the risks and consequences of emergencies and disasters. Yet they spend heavily on their response. We describe a set of key functional areas for investment and action in health EDRM, and calculate the costs needed to establish and operate basic health EDRM services in low- and middle-income countries, focusing on management of epidemics and disasters from natural hazards.We find that health EDRM costs are affordable for most governments. They range from an additional 4.33 USD capital and 4.16 USD annual recurrent costs per capita in low-income countries to 1.35 USD capital to 1.41 USD recurrent costs in upper middle-income countries. These costs pale in comparison to the costs of not acting-the direct and indirect costs of epidemics and other emergencies from natural hazards are more than 20-fold higher.We also examine options for the institutional arrangements needed to design and implement health EDRM. We discuss the need for creating adaptive institutions, strengthening capacities of countries, communities and health systems for managing risks of emergencies, using "all-of-society" and "all-of-state institutions" approaches, and applying lessons about rules and regulations, behavioral norms, and organizational structures to better implement health EDRM. The economic and social value, and the feasibility of institutional options for implementing health EDRM systems should compel governments to invest in these common goods for health that strengthen national health security.
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- 2019
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31. Outbreak of Neisseria meningitidis serogroup C outside the meningitis belt-Liberia, 2017: an epidemiological and laboratory investigation.
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Bozio CH, Vuong J, Dokubo EK, Fallah MP, McNamara LA, Potts CC, Doedeh J, Gbanya M, Retchless AC, Patel JC, Clark TA, Kohar H, Nagbe T, Clement P, Katawera V, Mahmoud N, Djingarey HM, Perrocheau A, Naidoo D, Stone M, George RN, Williams D, Gasasira A, Nyenswah T, Wang X, and Fox LM
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- Adolescent, Adult, Aged, Aged, 80 and over, Child, Contact Tracing, Female, Genotype, Humans, Liberia epidemiology, Male, Meningitis, Meningococcal mortality, Meningitis, Meningococcal pathology, Metagenomics, Middle Aged, Molecular Epidemiology, Multilocus Sequence Typing, Neisseria meningitidis, Serogroup C classification, Neisseria meningitidis, Serogroup C genetics, Survival Analysis, Young Adult, Disease Outbreaks, Meningitis, Meningococcal epidemiology, Meningitis, Meningococcal microbiology, Neisseria meningitidis, Serogroup C isolation & purification
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Background: On April 25, 2017, a cluster of unexplained illnesses and deaths associated with a funeral was reported in Sinoe County, Liberia. Molecular testing identified Neisseria meningitidis serogroup C (NmC) in specimens from patients. We describe the epidemiological investigation of this cluster and metagenomic characterisation of the outbreak strain., Methods: We collected epidemiological data from the field investigation and medical records review. Confirmed, probable, and suspected cases were defined on the basis of molecular testing and signs or symptoms of meningococcal disease. Metagenomic sequences from patient specimens were compared with 141 meningococcal isolate genomes to determine strain lineage., Findings: 28 meningococcal disease cases were identified, with dates of symptom onset from April 21 to April 30, 2017: 13 confirmed, three probable, and 12 suspected. 13 patients died. Six (21%) patients reported fever and 23 (82%) reported gastrointestinal symptoms. The attack rate for confirmed and probable cases among funeral attendees was 10%. Metagenomic sequences from six patient specimens were similar to a sequence type (ST) 10217 (clonal complex [CC] 10217) isolate genome from Niger, 2015. Multilocus sequencing identified five of seven alleles from one specimen that matched ST-9367, which is represented in the PubMLST database by one carriage isolate from Burkina Faso, in 2011, and belongs to CC10217., Interpretation: This outbreak featured high attack and case fatality rates. Clinical presentation was broadly consistent with previous meningococcal disease outbreaks, but predominance of gastrointestinal symptoms was unusual compared with previous African meningitis epidemics. The outbreak strain was genetically similar to NmC CC10217, which caused meningococcal disease outbreaks in Niger and Nigeria. CC10217 had previously been identified only in the African meningitis belt., Funding: US Global Health Security., (Copyright © 2018 World Health Organization. Published by Elsevier Ltd. All rights reserved. Published by Elsevier Ltd.. All rights reserved.)
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- 2018
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32. Implementing infection prevention and control capacity building strategies within the context of Ebola outbreak in a "Hard-to-Reach" area of Liberia.
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Oji MO, Haile M, Baller A, Tremblay N, Mahmoud N, Gasasira A, Ladele V, Cooper C, Kateh FN, Nyenswah T, and Nsubuga P
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- Epidemics prevention & control, Female, Guideline Adherence, Health Facilities standards, Health Personnel education, Hemorrhagic Fever, Ebola epidemiology, Humans, Infectious Disease Transmission, Patient-to-Professional prevention & control, Liberia epidemiology, Male, Mentors, Practice Guidelines as Topic, Public Health, Capacity Building organization & administration, Disease Outbreaks prevention & control, Health Personnel organization & administration, Hemorrhagic Fever, Ebola prevention & control
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Introduction: In August 2014, WHO declared that Ebola outbreak ravaging West Africa including Liberia had become a Public Health Emergency of International Concern (PHEIC). Infection prevention and control (IPC) among healthcare workers was pivotal in reducing healthcare worker infection and containing the recent EVD outbreak. Hard to reach areas (HTRA) presents peculiar challenges in public health emergencies. We present the result of IPC capacity building strategies deployed in Gbarpolu County: an HTRA of Liberia., Methods: Between April to October 2015, we conducted IPC training and mentorship at the county, district and facility levels in a selected HTRA of Liberia using the keep Safe, Keep Serving manual and the WHO core components of infection control. Serial follow-up assessments and mentoring using the Liberian Minimum standard tool for safe care in Liberian health facilities (MST) were done., Results: 180 (100%) facility based healthcare workers were trained: including 59 clinicians (32%) and 121 (67%) non-clinicians. 100% of the healthcare workers in four selected very HTRAs were trained and underwent facility based-mentorship. Compliance with IPC practice increased: the MST score increased from 75% to 90% and for the MST score for waste management and isolation increased 60% to 87%., Conclusion: Strengthening the capacity of healthcare workers for IPC was instrumental for containing the EVD epidemic but also critical for routine safe and quality services. A culture of IPC among healthcare workers in HTRA can be implemented through capacity building and training., Competing Interests: The author declare no competing interests.
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- 2018
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33. Contact tracing performance during the Ebola epidemic in Liberia, 2014-2015.
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Swanson KC, Altare C, Wesseh CS, Nyenswah T, Ahmed T, Eyal N, Hamblion EL, Lessler J, Peters DH, and Altmann M
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- Female, Humans, Liberia epidemiology, Male, Predictive Value of Tests, Retrospective Studies, Sensitivity and Specificity, Contact Tracing, Disease Transmission, Infectious, Epidemics, Hemorrhagic Fever, Ebola epidemiology, Hemorrhagic Fever, Ebola transmission
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Background: During the Ebola virus disease (EVD) epidemic in Liberia, contact tracing was implemented to rapidly detect new cases and prevent further transmission. We describe the scope and characteristics of contact tracing in Liberia and assess its performance during the 2014-2015 EVD epidemic., Methodology/principal Findings: We performed a retrospective descriptive analysis of data collection forms for contact tracing conducted in six counties during June 2014-July 2015. EVD case counts from situation reports in the same counties were used to assess contact tracing coverage and sensitivity. Contacts who presented with symptoms and/or died, and monitoring was stopped, were classified as "potential cases". Positive predictive value (PPV) was defined as the proportion of traced contacts who were identified as potential cases. Bivariate and multivariate logistic regression models were used to identify characteristics among potential cases. We analyzed 25,830 contact tracing records for contacts who had monitoring initiated or were last exposed between June 4, 2014 and July 13, 2015. Contact tracing was initiated for 26.7% of total EVD cases and detected 3.6% of all new cases during this period. Eighty-eight percent of contacts completed monitoring, and 334 contacts were identified as potential cases (PPV = 1.4%). Potential cases were more likely to be detected early in the outbreak; hail from rural areas; report multiple exposures and symptoms; have household contact or direct bodily or fluid contact; and report nausea, fever, or weakness compared to contacts who completed monitoring., Conclusions/significance: Contact tracing was a critical intervention in Liberia and represented one of the largest contact tracing efforts during an epidemic in history. While there were notable improvements in implementation over time, these data suggest there were limitations to its performance-particularly in urban districts and during peak transmission. Recommendations for improving performance include integrated surveillance, decentralized management of multidisciplinary teams, comprehensive protocols, and community-led strategies., Competing Interests: The authors declare that they have no competing interests.
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- 2018
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34. Persistence of Ebola virus after the end of widespread transmission in Liberia: an outbreak report.
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Dokubo EK, Wendland A, Mate SE, Ladner JT, Hamblion EL, Raftery P, Blackley DJ, Laney AS, Mahmoud N, Wayne-Davies G, Hensley L, Stavale E, Fakoli L, Gregory C, Chen TH, Koryon A, Roth Allen D, Mann J, Hickey A, Saindon J, Badini M, Baller A, Clement P, Bolay F, Wapoe Y, Wiley MR, Logue J, Dighero-Kemp B, Higgs E, Gasasira A, Williams DE, Dahn B, Kateh F, Nyenswah T, Palacios G, and Fallah MP
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- Adolescent, Adult, Aged, Aged, 80 and over, Child, Child, Preschool, Female, Humans, Infant, Liberia epidemiology, Male, Middle Aged, Disease Outbreaks prevention & control, Disease Outbreaks statistics & numerical data, Epidemics prevention & control, Epidemics statistics & numerical data, Hemorrhagic Fever, Ebola epidemiology, Hemorrhagic Fever, Ebola prevention & control, Hemorrhagic Fever, Ebola transmission
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Background: Outbreak response efforts for the 2014-15 Ebola virus disease epidemic in west Africa brought widespread transmission to an end. However, subsequent clusters of infection have occurred in the region. An Ebola virus disease cluster in Liberia in November, 2015, that was identified after a 15-year-old boy tested positive for Ebola virus infection in Monrovia, raised the possibility of transmission from a persistently infected individual., Methods: Case investigations were done to ascertain previous contact with cases of Ebola virus disease or infection with Ebola virus. Molecular investigations on blood samples explored a potential linkage between Ebola virus isolated from cases in this November, 2015, cluster and epidemiologically linked cases from the 2014-15 west African outbreak, according to the national case database., Findings: The cluster investigated was the family of the index case (mother, father, three siblings). Ebola virus genomes assembled from two cases in the November, 2015, cluster, and an epidemiologically linked Ebola virus disease case in July, 2014, were phylogenetically related within the LB5 sublineage that circulated in Liberia starting around August, 2014. Partial genomes from two additional individuals, one from each cluster, were also consistent with placement in the LB5 sublineage. Sequencing data indicate infection with a lineage of the virus from a former transmission chain in the country. Based on serology and epidemiological and genomic data, the most plausible scenario is that a female case in the November, 2015, cluster survived Ebola virus disease in 2014, had viral persistence or recurrent disease, and transmitted the virus to three family members a year later., Interpretation: Investigation of the source of infection for the November, 2015, cluster provides evidence of Ebola virus persistence and highlights the risk for outbreaks after interruption of active transmission. These findings underscore the need for focused prevention efforts among survivors and sustained capacity to rapidly detect and respond to new Ebola virus disease cases to prevent recurrence of a widespread outbreak., Funding: US Centers for Disease Control and Prevention, Defense Threat Reduction Agency, and WHO., (Copyright © 2018 Elsevier Ltd. All rights reserved.)
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- 2018
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35. Establishing Ebola Virus Disease (EVD) diagnostics using GeneXpert technology at a mobile laboratory in Liberia: Impact on outbreak response, case management and laboratory systems strengthening.
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Raftery P, Condell O, Wasunna C, Kpaka J, Zwizwai R, Nuha M, Fallah M, Freeman M, Harris V, Miller M, Baller A, Massaquoi M, Katawera V, Saindon J, Bemah P, Hamblion E, Castle E, Williams D, Gasasira A, and Nyenswah T
- Subjects
- Case Management, Ebolavirus isolation & purification, Hemorrhagic Fever, Ebola virology, Humans, Liberia epidemiology, Disease Outbreaks prevention & control, Epidemiological Monitoring, Hemorrhagic Fever, Ebola diagnosis, Hemorrhagic Fever, Ebola epidemiology, Mobile Health Units
- Abstract
The 2014-16 Ebola Virus Disease (EVD) outbreak in West Africa highlighted the necessity for readily available, accurate and rapid diagnostics. The magnitude of the outbreak and the re-emergence of clusters of EVD cases following the declaration of interrupted transmission in Liberia, reinforced the need for sustained diagnostics to support surveillance and emergency preparedness. We describe implementation of the Xpert Ebola Assay, a rapid molecular diagnostic test run on the GeneXpert platform, at a mobile laboratory in Liberia and the subsequent impact on EVD outbreak response, case management and laboratory system strengthening. During the period of operation, site coordination, management and operational capacity was supported through a successful collaboration between Ministry of Health (MoH), World Health Organization (WHO) and international partners. A team of Liberian laboratory technicians were trained to conduct EVD diagnostics and the laboratory had capacity to test 64-100 blood specimens per day. Establishment of the laboratory significantly increased the daily testing capacity for EVD in Liberia, from 180 to 250 specimens at a time when the effectiveness of the surveillance system was threatened by insufficient diagnostic capacity. During the 18 months of operation, the laboratory tested a total of 9,063 blood specimens, including 21 EVD positives from six confirmed cases during two outbreaks. Following clearance of the significant backlog of untested EVD specimens in November 2015, a new cluster of EVD cases was detected at the laboratory. Collaboration between surveillance and laboratory coordination teams during this and a later outbreak in March 2016, facilitated timely and targeted response interventions. Specimens taken from cases during both outbreaks were analysed at the laboratory with results informing clinical management of patients and discharge decisions. The GeneXpert platform is easy to use, has relatively low running costs and can be integrated into other national diagnostic algorithms. The technology has on average a 2-hour sample-to-result time and allows for single specimen testing to overcome potential delays of batching. This model of a mobile laboratory equipped with Xpert Ebola test, staffed by local laboratory technicians, could serve to strengthen outbreak preparedness and response for future outbreaks of EVD in Liberia and the region.
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- 2018
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36. Rapid Laboratory Identification of Neisseria meningitidis Serogroup C as the Cause of an Outbreak - Liberia, 2017.
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Patel JC, George J, Vuong J, Potts CC, Bozio C, Clark TA, Thomas J, Schier J, Chang A, Waller JL, Diaz MH, Whaley M, Jenkins LT, Fuller S, Williams DE, Redd JT, Arthur RR, Taweh F, Vera Walker Y, Hardy P, Freeman M, Katawera V, Gwesa G, Gbanya MZ, Clement P, Kohar H, Stone M, Fallah M, Nyenswah T, Winchell JM, Wang X, McNamara LA, Dokubo EK, and Fox LM
- Subjects
- Clinical Laboratory Services statistics & numerical data, Cluster Analysis, Humans, Liberia epidemiology, Meningitis, Meningococcal mortality, Real-Time Polymerase Chain Reaction, Time Factors, Disease Outbreaks, Meningitis, Meningococcal epidemiology, Meningitis, Meningococcal microbiology, Neisseria meningitidis, Serogroup C isolation & purification
- Abstract
On April 25, 2017, a cluster of unexplained illness and deaths among persons who had attended a funeral during April 21-22 was reported in Sinoe County, Liberia (1). Using a broad initial case definition, 31 cases were identified, including 13 (42%) deaths. Twenty-seven cases were from Sinoe County (1), and two cases each were from Grand Bassa and Monsterrado counties, respectively. On May 5, 2017, initial multipathogen testing of specimens from four fatal cases using the Taqman Array Card (TAC) assay identified Neisseria meningitidis in all specimens. Subsequent testing using direct real-time polymerase chain reaction (PCR) confirmed N. meningitidis in 14 (58%) of 24 patients with available specimens and identified N. meningitidis serogroup C (NmC) in 13 (54%) patients. N. meningitidis was detected in specimens from 11 of the 13 patients who died; no specimens were available from the other two fatal cases. On May 16, 2017, the National Public Health Institute of Liberia and the Ministry of Health of Liberia issued a press release confirming serogroup C meningococcal disease as the cause of this outbreak in Liberia.
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- 2017
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37. Phase 2 Placebo-Controlled Trial of Two Vaccines to Prevent Ebola in Liberia.
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Kennedy SB, Bolay F, Kieh M, Grandits G, Badio M, Ballou R, Eckes R, Feinberg M, Follmann D, Grund B, Gupta S, Hensley L, Higgs E, Janosko K, Johnson M, Kateh F, Logue J, Marchand J, Monath T, Nason M, Nyenswah T, Roman F, Stavale E, Wolfson J, Neaton JD, and Lane HC
- Subjects
- Adenoviridae, Adult, Animals, Disease Outbreaks, Double-Blind Method, Female, Fever etiology, HIV Seropositivity complications, Headache etiology, Hemorrhagic Fever, Ebola complications, Hemorrhagic Fever, Ebola immunology, Humans, Injections, Intramuscular adverse effects, Liberia, Male, Myalgia etiology, Pan troglodytes, RNA, Viral blood, Reverse Transcriptase Polymerase Chain Reaction, Vesiculovirus, Ebola Vaccines adverse effects, Ebola Vaccines immunology, Ebolavirus immunology, Hemorrhagic Fever, Ebola prevention & control
- Abstract
Background: The safety and efficacy of vaccines to prevent Ebola virus disease (EVD) were unknown when the incidence of EVD was peaking in Liberia., Methods: We initiated a randomized, placebo-controlled, phase 3 trial of the chimpanzee adenovirus 3 vaccine (ChAd3-EBO-Z) and the recombinant vesicular stomatitis virus vaccine (rVSV∆G-ZEBOV-GP) in Liberia. A phase 2 subtrial was embedded to evaluate safety and immunogenicity. Because the incidence of EVD declined in Liberia, the phase 2 component was expanded and the phase 3 component was eliminated., Results: A total of 1500 adults underwent randomization and were followed for 12 months. The median age of the participants was 30 years; 36.6% of the participants were women. During the week after the administration of vaccine or placebo, adverse events occurred significantly more often with the active vaccines than with placebo; these events included injection-site reactions (in 28.5% of the patients in the ChAd3-EBO-Z group and 30.9% of those in the rVSV∆G-ZEBOV-GP group, as compared with 6.8% of those in the placebo group), headache (in 25.1% and 31.9%, vs. 16.9%), muscle pain (in 22.3% and 26.9%, vs. 13.3%), feverishness (in 23.9% and 30.5%, vs. 9.0%), and fatigue (in 14.0% and 15.4%, vs. 8.8%) (P<0.001 for all comparisons); these differences were not seen at 1 month. Serious adverse events within 12 months after injection were seen in 40 participants (8.0%) in the ChAd3-EBO-Z group, in 47 (9.4%) in the rVSV∆G-ZEBOV-GP group, and in 59 (11.8%) in the placebo group. By 1 month, an antibody response developed in 70.8% of the participants in the ChAd3-EBO-Z group and in 83.7% of those in the rVSV∆G-ZEBOV-GP group, as compared with 2.8% of those in the placebo group (P<0.001 for both comparisons). At 12 months, antibody responses in participants in the ChAd3-EBO-Z group (63.5%) and in those in the rVSV∆G-ZEBOV-GP group (79.5%) remained significantly greater than in those in the placebo group (6.8%, P<0.001 for both comparisons)., Conclusions: A randomized, placebo-controlled phase 2 trial of two vaccines that was rapidly initiated and completed in Liberia showed the capability of conducting rigorous research during an outbreak. By 1 month after vaccination, the vaccines had elicited immune responses that were largely maintained through 12 months. (Funded by the National Institutes of Allergy and Infectious Diseases and the Liberian Ministry of Health; PREVAIL I ClinicalTrials.gov number, NCT02344407 .).
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- 2017
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38. Analysis of patient data from laboratories during the Ebola virus disease outbreak in Liberia, April 2014 to March 2015.
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Furuse Y, Fallah M, Oshitani H, Kituyi L, Mahmoud N, Musa E, Gasasira A, Nyenswah T, Dahn B, and Bawo L
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- Adolescent, Adult, Age Distribution, Child, Child, Preschool, Demography, Female, History, 21st Century, Humans, Laboratories, Liberia epidemiology, Logistic Models, Male, Mass Screening methods, Middle Aged, Risk Factors, Sex Distribution, Young Adult, Disease Outbreaks history, Ebolavirus isolation & purification, Hemorrhagic Fever, Ebola diagnosis, Hemorrhagic Fever, Ebola mortality
- Abstract
An outbreak of Ebola virus disease (EVD) in Liberia began in March 2014 and ended in January 2016. Epidemiological information on the EVD cases was collected and managed nationally; however, collection and management of the data were challenging at the time because surveillance and reporting systems malfunctioned during the outbreak. EVD diagnostic laboratories, however, were able to register basic demographic and clinical information of patients more systematically. Here we present data on 16,370 laboratory samples that were tested between April 4, 2014 and March 29, 2015. A total of 10,536 traceable individuals were identified, of whom 3,897 were confirmed cases (positive for Ebola virus RNA). There were significant differences in sex, age, and place of residence between confirmed and suspected cases that tested negative for Ebola virus RNA. Age (young children and the elderly) and place of residence (rural areas) were the risk factors for death due to the disease. The case fatality rate of confirmed cases decreased from 80% to 63% during the study period. These findings may help support future investigations and lead to a fuller understanding of the outbreak in Liberia.
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- 2017
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39. Reflections on Leadership and Governance from the Incident Manager of Liberia's Ebola Response.
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Nyenswah T
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- Africa, Western, Capacity Building, Disease Outbreaks, Ebolavirus, Epidemics, Global Health, Humans, Leadership, Liberia, Disaster Planning methods, Hemorrhagic Fever, Ebola epidemiology, Public Health
- Abstract
The 2014-2016 epidemic of Ebola virus disease occurred in a region with a recent history of civil war, unstable health systems, and widespread poverty. Despite these contextual challenges, the national Ebola response in Liberia controlled transmission under strong leadership that was able to rapidly coordinate activities, to manage local and international players, and to adapt upon recognizing missteps. Such leadership has persisted to improve public health capacity in post-Ebola Liberia. This article highlights the progress made toward developing a resilient health security system with capacity to prevent, detect, and respond to disease threats before they reach epidemic level. In particular, Liberia's development of a Global Health Security Agenda roadmap, a Joint External Evaluation (JEE) report for International Health Regulation (2005) core capacities, and recent establishment of a National Public Health Institute are described. To better protect the country's population and the greater global community from health threats, emerging institutions and policies in Liberia will depend on leadership and governance that draws from the successes and lessons learned during the Ebola outbreak. The author provides insight based on his role as incident manager of Liberia's Ebola response.
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- 2017
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40. Characterizing risk of Ebola transmission based on frequency and type of case-contact exposures.
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Skrip LA, Fallah MP, Gaffney SG, Yaari R, Yamin D, Huppert A, Bawo L, Nyenswah T, and Galvani AP
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- Hemorrhagic Fever, Ebola virology, Humans, Liberia, Models, Theoretical, Risk, Contact Tracing, Hemorrhagic Fever, Ebola transmission
- Abstract
During the initial months of the 2013-2016 Ebola epidemic, rapid geographical dissemination and intense transmission challenged response efforts across West Africa. Contextual behaviours associated with increased risk of exposure included travel to high-transmission settings, caring for sick and preparing the deceased for traditional funerals. Although such behaviours are widespread in West Africa, high-transmission pockets were observed. Superspreading and clustering are typical phenomena in infectious disease outbreaks, as a relatively small number of transmission chains are often responsible for the majority of events. Determining the characteristics of contacts at greatest risk of developing disease and of cases with greatest transmission potential could therefore help curb propagation of infection. Our analysis of contact tracing data from Montserrado County, Liberia, suggested that the probability of transmission was 4.5 times higher for individuals who were reported as having contact with multiple cases. The probability of individuals developing disease was not significantly associated with age or sex of their source case but was higher when they were in the same household as the infectious case. Surveillance efforts for rapidly identifying symptomatic individuals and effectively messaged campaigns encouraging household members to bring the sick to designated treatment centres without administration of home care could mitigate transmission.This article is part of the themed issue 'The 2013-2016 West African Ebola epidemic: data, decision-making and disease control'., (© 2017 The Author(s).)
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- 2017
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41. Virus genomes reveal factors that spread and sustained the Ebola epidemic.
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Dudas G, Carvalho LM, Bedford T, Tatem AJ, Baele G, Faria NR, Park DJ, Ladner JT, Arias A, Asogun D, Bielejec F, Caddy SL, Cotten M, D'Ambrozio J, Dellicour S, Di Caro A, Diclaro JW, Duraffour S, Elmore MJ, Fakoli LS, Faye O, Gilbert ML, Gevao SM, Gire S, Gladden-Young A, Gnirke A, Goba A, Grant DS, Haagmans BL, Hiscox JA, Jah U, Kugelman JR, Liu D, Lu J, Malboeuf CM, Mate S, Matthews DA, Matranga CB, Meredith LW, Qu J, Quick J, Pas SD, Phan MVT, Pollakis G, Reusken CB, Sanchez-Lockhart M, Schaffner SF, Schieffelin JS, Sealfon RS, Simon-Loriere E, Smits SL, Stoecker K, Thorne L, Tobin EA, Vandi MA, Watson SJ, West K, Whitmer S, Wiley MR, Winnicki SM, Wohl S, Wölfel R, Yozwiak NL, Andersen KG, Blyden SO, Bolay F, Carroll MW, Dahn B, Diallo B, Formenty P, Fraser C, Gao GF, Garry RF, Goodfellow I, Günther S, Happi CT, Holmes EC, Kargbo B, Keïta S, Kellam P, Koopmans MPG, Kuhn JH, Loman NJ, Magassouba N, Naidoo D, Nichol ST, Nyenswah T, Palacios G, Pybus OG, Sabeti PC, Sall A, Ströher U, Wurie I, Suchard MA, Lemey P, and Rambaut A
- Subjects
- Climate, Disease Outbreaks statistics & numerical data, Ebolavirus isolation & purification, Geography, Hemorrhagic Fever, Ebola epidemiology, Humans, Internationality, Linear Models, Molecular Epidemiology, Phylogeny, Travel legislation & jurisprudence, Travel statistics & numerical data, Ebolavirus genetics, Ebolavirus physiology, Genome, Viral genetics, Hemorrhagic Fever, Ebola transmission, Hemorrhagic Fever, Ebola virology
- Abstract
The 2013-2016 West African epidemic caused by the Ebola virus was of unprecedented magnitude, duration and impact. Here we reconstruct the dispersal, proliferation and decline of Ebola virus throughout the region by analysing 1,610 Ebola virus genomes, which represent over 5% of the known cases. We test the association of geography, climate and demography with viral movement among administrative regions, inferring a classic 'gravity' model, with intense dispersal between larger and closer populations. Despite attenuation of international dispersal after border closures, cross-border transmission had already sown the seeds for an international epidemic, rendering these measures ineffective at curbing the epidemic. We address why the epidemic did not spread into neighbouring countries, showing that these countries were susceptible to substantial outbreaks but at lower risk of introductions. Finally, we reveal that this large epidemic was a heterogeneous and spatially dissociated collection of transmission clusters of varying size, duration and connectivity. These insights will help to inform interventions in future epidemics.
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- 2017
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42. Ebola Virus RNA in Semen from an HIV-Positive Survivor of Ebola.
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Purpura LJ, Rogers E, Baller A, White S, Soka M, Choi MJ, Mahmoud N, Wasunna C, Massaquoi M, Kollie J, Dweh S, Bemah P, Ladele V, Kpaka J, Jawara M, Mugisha M, Subah O, Faikai M, Bailey JA, Rollin P, Marston B, Nyenswah T, Gasasira A, Knust B, Nichol S, and Williams D
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- Humans, Male, Middle Aged, RNA, Viral chemistry, Time Factors, Viral Core Proteins chemistry, Viral Matrix Proteins chemistry, Ebolavirus isolation & purification, HIV Infections complications, Hemorrhagic Fever, Ebola virology, RNA, Viral isolation & purification, Semen virology
- Abstract
Ebola virus is known to persist in semen of male survivors of Ebola virus disease (EVD). However, maximum duration of, or risk factors for, virus persistence are unknown. We report an EVD survivor with preexisting HIV infection, whose semen was positive for Ebola virus RNA 565 days after recovery from EVD.
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- 2017
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43. Exposure Patterns Driving Ebola Transmission in West Africa: A Retrospective Observational Study.
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Agua-Agum J, Ariyarajah A, Aylward B, Bawo L, Bilivogui P, Blake IM, Brennan RJ, Cawthorne A, Cleary E, Clement P, Conteh R, Cori A, Dafae F, Dahl B, Dangou JM, Diallo B, Donnelly CA, Dorigatti I, Dye C, Eckmanns T, Fallah M, Ferguson NM, Fiebig L, Fraser C, Garske T, Gonzalez L, Hamblion E, Hamid N, Hersey S, Hinsley W, Jambei A, Jombart T, Kargbo D, Keita S, Kinzer M, George FK, Godefroy B, Gutierrez G, Kannangarage N, Mills HL, Moller T, Meijers S, Mohamed Y, Morgan O, Nedjati-Gilani G, Newton E, Nouvellet P, Nyenswah T, Perea W, Perkins D, Riley S, Rodier G, Rondy M, Sagrado M, Savulescu C, Schafer IJ, Schumacher D, Seyler T, Shah A, Van Kerkhove MD, Wesseh CS, and Yoti Z
- Subjects
- Guinea epidemiology, Hemorrhagic Fever, Ebola transmission, Hemorrhagic Fever, Ebola virology, Humans, Liberia epidemiology, Retrospective Studies, Risk Factors, Sierra Leone epidemiology, Disease Outbreaks, Ebolavirus physiology, Hemorrhagic Fever, Ebola epidemiology
- Abstract
Background: The ongoing West African Ebola epidemic began in December 2013 in Guinea, probably from a single zoonotic introduction. As a result of ineffective initial control efforts, an Ebola outbreak of unprecedented scale emerged. As of 4 May 2015, it had resulted in more than 19,000 probable and confirmed Ebola cases, mainly in Guinea (3,529), Liberia (5,343), and Sierra Leone (10,746). Here, we present analyses of data collected during the outbreak identifying drivers of transmission and highlighting areas where control could be improved., Methods and Findings: Over 19,000 confirmed and probable Ebola cases were reported in West Africa by 4 May 2015. Individuals with confirmed or probable Ebola ("cases") were asked if they had exposure to other potential Ebola cases ("potential source contacts") in a funeral or non-funeral context prior to becoming ill. We performed retrospective analyses of a case line-list, collated from national databases of case investigation forms that have been reported to WHO. These analyses were initially performed to assist WHO's response during the epidemic, and have been updated for publication. We analysed data from 3,529 cases in Guinea, 5,343 in Liberia, and 10,746 in Sierra Leone; exposures were reported by 33% of cases. The proportion of cases reporting a funeral exposure decreased over time. We found a positive correlation (r = 0.35, p < 0.001) between this proportion in a given district for a given month and the within-district transmission intensity, quantified by the estimated reproduction number (R). We also found a negative correlation (r = -0.37, p < 0.001) between R and the district proportion of hospitalised cases admitted within ≤4 days of symptom onset. These two proportions were not correlated, suggesting that reduced funeral attendance and faster hospitalisation independently influenced local transmission intensity. We were able to identify 14% of potential source contacts as cases in the case line-list. Linking cases to the contacts who potentially infected them provided information on the transmission network. This revealed a high degree of heterogeneity in inferred transmissions, with only 20% of cases accounting for at least 73% of new infections, a phenomenon often called super-spreading. Multivariable regression models allowed us to identify predictors of being named as a potential source contact. These were similar for funeral and non-funeral contacts: severe symptoms, death, non-hospitalisation, older age, and travelling prior to symptom onset. Non-funeral exposures were strongly peaked around the death of the contact. There was evidence that hospitalisation reduced but did not eliminate onward exposures. We found that Ebola treatment units were better than other health care facilities at preventing exposure from hospitalised and deceased individuals. The principal limitation of our analysis is limited data quality, with cases not being entered into the database, cases not reporting exposures, or data being entered incorrectly (especially dates, and possible misclassifications)., Conclusions: Achieving elimination of Ebola is challenging, partly because of super-spreading. Safe funeral practices and fast hospitalisation contributed to the containment of this Ebola epidemic. Continued real-time data capture, reporting, and analysis are vital to track transmission patterns, inform resource deployment, and thus hasten and maintain elimination of the virus from the human population., Competing Interests: The authors have declared that no competing interests exist.
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- 2016
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44. Implementation of a National Semen Testing and Counseling Program for Male Ebola Survivors - Liberia, 2015-2016.
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Purpura LJ, Soka M, Baller A, White S, Rogers E, Choi MJ, Mahmoud N, Wasunna C, Massaquoi M, Vanderende K, Kollie J, Dweh S, Bemah P, Christie A, Ladele V, Subah O, Pillai S, Mugisha M, Kpaka J, Nichol S, Ströher U, Abad N, Mettee-Zarecki S, Bailey JA, Rollin P, Marston B, Nyenswah T, Gasasira A, Knust B, and Williams D
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- Ebolavirus isolation & purification, Hemorrhagic Fever, Ebola epidemiology, Humans, Liberia epidemiology, Male, Program Development, Semen virology, Counseling organization & administration, Disease Outbreaks prevention & control, Hemorrhagic Fever, Ebola prevention & control, Mass Screening organization & administration, Survivors statistics & numerical data
- Abstract
According to World Health Organization (WHO) data, the Ebola virus disease (Ebola) outbreak that began in West Africa in 2014 has resulted in 28,603 cases and 11,301 deaths (1). In March 2015, epidemiologic investigation and genetic sequencing in Liberia implicated sexual transmission from a male Ebola survivor, with Ebola virus detected by reverse transcription-polymerase chain reaction (RT-PCR) 199 days after symptom onset (2,3), far exceeding the 101 days reported from an earlier Ebola outbreak (4). In response, WHO released interim guidelines recommending that all male survivors, in addition to receiving condoms and sexual risk reduction counseling at discharge from an Ebola treatment unit (ETU), be offered semen testing for Ebola virus RNA by RT-PCR 3 months after disease onset, and every month thereafter until two consecutive semen specimens collected at least 1 week apart test negative for Ebola virus RNA (5). Male Ebola survivors should also receive counseling to promote safe sexual practices until their semen twice tests negative. When these recommendations were released, testing of semen was not widely available in Liberia. Challenges in establishing and operating the first nationwide semen testing and counseling program for male Ebola survivors included securing sufficient resources for the program, managing a public health semen testing program in the context of ongoing research studies that were also collecting and screening semen, identification of adequate numbers of trained counselors and appropriate health communication messages for the program, overcoming Ebola survivor-associated stigma, identification and recruitment of male Ebola survivors, and operation of mobile teams.
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- 2016
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45. Secondary Infections with Ebola Virus in Rural Communities, Liberia and Guinea, 2014-2015.
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Lindblade KA, Nyenswah T, Keita S, Diallo B, Kateh F, Amoah A, Nagbe TK, Raghunathan P, Neatherlin JC, Kinzer M, Pillai SK, Attfield KR, Hajjeh R, Dweh E, Painter J, Barradas DT, Williams SG, Blackley DJ, Kirking HL, Patel MR, Dea M, Massoudi MS, Barskey AE, Zarecki SL, Fomba M, Grube S, Belcher L, Broyles LN, Maxwell TN, Hagan JE, Yeoman K, Westercamp M, Mott J, Mahoney F, Slutsker L, DeCock KM, Marston B, and Dahl B
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- Coinfection history, Coinfection transmission, Coinfection virology, Guinea epidemiology, Hemorrhagic Fever, Ebola history, Hemorrhagic Fever, Ebola transmission, Hemorrhagic Fever, Ebola virology, History, 21st Century, Hospitalization, Humans, Liberia epidemiology, Population Surveillance, Coinfection epidemiology, Ebolavirus, Hemorrhagic Fever, Ebola epidemiology, Rural Population
- Abstract
Persons who died of Ebola virus disease at home in rural communities in Liberia and Guinea resulted in more secondary infections than persons admitted to Ebola treatment units. Intensified monitoring of contacts of persons who died of this disease in the community is an evidence-based approach to reduce virus transmission in rural communities.
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- 2016
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46. Leadership in Times of Crisis: The Example of Ebola Virus Disease in Liberia.
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Nyenswah T, Engineer CY, and Peters DH
- Abstract
The Ebola epidemic of 2014-2015 was one of the most significant public health threats of the 21st century, a crisis that challenged leadership in West Africa and around the world. Using the experience of Liberia's epidemic control efforts, we highlight the critical role that leadership played during four phases of the epidemic response: (1) crisis recognition and early mobilization; (2) the emergency phase; (3) the declining epidemic; and (4) the long tail. We examine how the decisions and actions taken in each phase of the epidemic address key crisis leadership tasks, including sense-making, decision making, meaning-making, crisis termination, and learning, and assess how leadership approaches evolved during the different epidemic phases to accomplish these tasks. A contingency leadership theory lens is used to identify situations where strong leadership, good leader-member relations, and well-structured tasks can facilitate different leadership approaches. The first phase of the epidemic was hampered by insufficient attention to sense-making and weak decision making, in part because of the existing hierarchical leadership approach. This contributed to amplification of the epidemic. The emergency phase of the epidemic brought a change in leadership that focused on sense-making, decision-making, and meaning-making tasks. A distributed leadership approach replaced the old hierarchies. In addition to sharing leadership responsibility and authority, the distributed leadership approach involved strategically engaging stakeholders and communicating intensively. Although much of the hierarchical leadership approaches returned in the latter phases of the epidemic, there remain more empowered leaders at different levels across the country. Systematically tackling crisis leadership tasks, recognizing situations where different leadership approaches can be used, and employing a distributed leadership approach are helpful lessons to prepare for and respond to future crises.
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- 2016
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47. Leadership in Times of Crisis: A Personal Reflection from the Center of the Ebola Epidemic Response in Liberia.
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Nyenswah T
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- 2016
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48. Timing and utilization of antenatal care services in Liberia: Understanding the pre-Ebola epidemic context.
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Luginaah IN, Kangmennaang J, Fallah M, Dahn B, Kateh F, and Nyenswah T
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- Adolescent, Adult, Female, Health Services Accessibility standards, Health Services Accessibility statistics & numerical data, Humans, Liberia, Maternal Health Services statistics & numerical data, Middle Aged, Pregnancy, Regression Analysis, Socioeconomic Factors, Surveys and Questionnaires, Survival Analysis, Health Knowledge, Attitudes, Practice, Pregnant Women psychology, Prenatal Care statistics & numerical data
- Abstract
In Liberia, 75% of those who died from 2014 Ebola epidemic were women and the effects of this gruelling epidemic were more severely felt by pregnant women. This immediately raised fears about the long-term impacts of the epidemic on maternal and child health. As part of a larger study, this paper uses Andersen's behavioural model of health care utilization and Goffman's stigma theory to explain the timing and utilization of maternal health services before the outbreak of the Ebola epidemic as a background to the potential long-term effects on maternal health. We conducted survival and multiple regression analysis using the 2007 (N = 3524) and 2013 (N = 5127) Liberia's Demographic and Health Survey (LDHS) data. Our sample consisted of women of reproductive age (15-49 years) that had given birth in the last five years preceding the survey year. The findings show that from 2007 to 2013, there was an overall improvement in the timing of first antenatal care (ANC) visits (TR = 0.92, p < 0.001), number of ANC visits and delivery with skilled birth attendants. The results also show county and regional disparities in the utilization of ANC services with South Eastern A region emerging as a relatively vulnerable place. Also, access to ANC services defined by distance to a health facility strongly predicted utilization. We argue that the Ebola epidemic likely eroded many of the previous gains in maternal health care, and may have left a lingering negative effect on the access and utilization of maternal health services in the long-term. The study makes relevant policy recommendations., (Copyright © 2016 Elsevier Ltd. All rights reserved.)
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- 2016
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49. Community health worker programmes after the 2013-2016 Ebola outbreak.
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Perry HB, Dhillon RS, Liu A, Chitnis K, Panjabi R, Palazuelos D, Koffi AK, Kandeh JN, Camara M, Camara R, and Nyenswah T
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- 2016
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50. Reduced evolutionary rate in reemerged Ebola virus transmission chains.
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Blackley DJ, Wiley MR, Ladner JT, Fallah M, Lo T, Gilbert ML, Gregory C, D'ambrozio J, Coulter S, Mate S, Balogun Z, Kugelman J, Nwachukwu W, Prieto K, Yeiah A, Amegashie F, Kearney B, Wisniewski M, Saindon J, Schroth G, Fakoli L, Diclaro JW 2nd, Kuhn JH, Hensley LE, Jahrling PB, Ströher U, Nichol ST, Massaquoi M, Kateh F, Clement P, Gasasira A, Bolay F, Monroe SS, Rambaut A, Sanchez-Lockhart M, Scott Laney A, Nyenswah T, Christie A, and Palacios G
- Subjects
- Disease Outbreaks, Ebolavirus genetics, Genome, Viral genetics, Hemorrhagic Fever, Ebola genetics, Hemorrhagic Fever, Ebola virology, Humans, Liberia, Ebolavirus pathogenicity, Hemorrhagic Fever, Ebola epidemiology, Hemorrhagic Fever, Ebola transmission
- Abstract
On 29 June 2015, Liberia's respite from Ebola virus disease (EVD) was interrupted for the second time by a renewed outbreak ("flare-up") of seven confirmed cases. We demonstrate that, similar to the March 2015 flare-up associated with sexual transmission, this new flare-up was a reemergence of a Liberian transmission chain originating from a persistently infected source rather than a reintroduction from a reservoir or a neighboring country with active transmission. Although distinct, Ebola virus (EBOV) genomes from both flare-ups exhibit significantly low genetic divergence, indicating a reduced rate of EBOV evolution during persistent infection. Using this rate of change as a signature, we identified two additional EVD clusters that possibly arose from persistently infected sources. These findings highlight the risk of EVD flare-ups even after an outbreak is declared over.
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- 2016
- Full Text
- View/download PDF
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