272 results on '"Nokes DJ"'
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2. Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in children younger than 5 years in 2019: a systematic analysis
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Li, Y, Wang, X, Blau, DM, Caballero, MT, Feikin, DR, Gill, CJ, Madhi, SA, Omer, SB, Simoes, EAF, Campbell, H, Pariente, AB, Bardach, D, Bassat, Q, Casalegno, J-S, Chakhunashvili, G, Crawford, N, Danilenko, D, Ha Do, LA, Echavarria, M, Gentile, A, Gordon, A, Heikkinen, T, Huang, QS, Jullien, S, Krishnan, A, Lopez, EL, Markic, J, Mira-Iglesias, A, Moore, HC, Moyes, J, Mwananyanda, L, Nokes, DJ, Noordeen, F, Obodai, E, Palani, N, Romero, C, Salimi, V, Satav, A, Seo, E, Shchomak, Z, Singleton, R, Stolyarov, K, Stoszek, SK, von Gottberg, A, Wurzel, D, Yoshida, L-M, Yung, CF, Zar, HJ, Nair, H, Li, Y, Wang, X, Blau, DM, Caballero, MT, Feikin, DR, Gill, CJ, Madhi, SA, Omer, SB, Simoes, EAF, Campbell, H, Pariente, AB, Bardach, D, Bassat, Q, Casalegno, J-S, Chakhunashvili, G, Crawford, N, Danilenko, D, Ha Do, LA, Echavarria, M, Gentile, A, Gordon, A, Heikkinen, T, Huang, QS, Jullien, S, Krishnan, A, Lopez, EL, Markic, J, Mira-Iglesias, A, Moore, HC, Moyes, J, Mwananyanda, L, Nokes, DJ, Noordeen, F, Obodai, E, Palani, N, Romero, C, Salimi, V, Satav, A, Seo, E, Shchomak, Z, Singleton, R, Stolyarov, K, Stoszek, SK, von Gottberg, A, Wurzel, D, Yoshida, L-M, Yung, CF, Zar, HJ, and Nair, H
- Abstract
BACKGROUND: Respiratory syncytial virus (RSV) is the most common cause of acute lower respiratory infection in young children. We previously estimated that in 2015, 33·1 million episodes of RSV-associated acute lower respiratory infection occurred in children aged 0-60 months, resulting in a total of 118 200 deaths worldwide. Since then, several community surveillance studies have been done to obtain a more precise estimation of RSV associated community deaths. We aimed to update RSV-associated acute lower respiratory infection morbidity and mortality at global, regional, and national levels in children aged 0-60 months for 2019, with focus on overall mortality and narrower infant age groups that are targeted by RSV prophylactics in development. METHODS: In this systematic analysis, we expanded our global RSV disease burden dataset by obtaining new data from an updated search for papers published between Jan 1, 2017, and Dec 31, 2020, from MEDLINE, Embase, Global Health, CINAHL, Web of Science, LILACS, OpenGrey, CNKI, Wanfang, and ChongqingVIP. We also included unpublished data from RSV GEN collaborators. Eligible studies reported data for children aged 0-60 months with RSV as primary infection with acute lower respiratory infection in community settings, or acute lower respiratory infection necessitating hospital admission; reported data for at least 12 consecutive months, except for in-hospital case fatality ratio (CFR) or for where RSV seasonality is well-defined; and reported incidence rate, hospital admission rate, RSV positive proportion in acute lower respiratory infection hospital admission, or in-hospital CFR. Studies were excluded if case definition was not clearly defined or not consistently applied, RSV infection was not laboratory confirmed or based on serology alone, or if the report included fewer than 50 cases of acute lower respiratory infection. We applied a generalised linear mixed-effects model (GLMM) to estimate RSV-associated acute lower respir
- Published
- 2022
3. The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance
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Tegally, H, San, JE, Cotten, M, Moir, M, Tegomoh, B, Mboowa, G, Martin, DP, Baxter, C, Lambisia, AW, Diallo, A, Amoako, DG, Diagne, MM, Sisay, A, Zekri, A-RN, Gueye, AS, Sangare, AK, Ouedraogo, A-S, Sow, A, Musa, AO, Sesay, AK, Abias, AG, Elzagheid, A, Lagare, A, Kemi, A-S, Abar, AE, Johnson, AA, Fowotade, A, Oluwapelumi, AO, Amuri, AA, Juru, A, Kandeil, A, Mostafa, A, Rebai, A, Sayed, A, Kazeem, A, Balde, A, Christoffels, A, Trotter, AJ, Campbell, A, Keita, AK, Kone, A, Bouzid, A, Souissi, A, Agweyu, A, Naguib, A, Gutierrez, A, Nkeshimana, A, Page, AJ, Yadouleton, A, Vinze, A, Happi, AN, Chouikha, A, Iranzadeh, A, Maharaj, A, Batchi-Bouyou, AL, Ismail, A, Sylverken, AA, Goba, A, Femi, A, Sijuwola, AE, Marycelin, B, Salako, BL, Oderinde, BS, Bolajoko, B, Diarra, B, Herring, BL, Tsofa, B, Lekana-Douki, B, Mvula, B, Njanpop-Lafourcade, B-M, Marondera, BT, Khaireh, BA, Kouriba, B, Adu, B, Pool, B, McInnis, B, Brook, C, Williamson, C, Nduwimana, C, Anscombe, C, Pratt, CB, Scheepers, C, Akoua-Koffi, CG, Agoti, CN, Mapanguy, CM, Loucoubar, C, Onwuamah, CK, Ihekweazu, C, Malaka, CN, Peyrefitte, C, Grace, C, Omoruyi, CE, Rafai, CD, Morang'a, CM, Erameh, C, Lule, DB, Bridges, DJ, Mukadi-Bamuleka, D, Park, D, Rasmussen, DA, Baker, D, Nokes, DJ, Ssemwanga, D, Tshiabuila, D, Amuzu, DSY, Goedhals, D, Grant, DS, Omuoyo, DO, Maruapula, D, Wanjohi, DW, Foster-Nyarko, E, Lusamaki, EK, Simulundu, E, Ong'era, EM, Ngabana, EN, Abworo, EO, Otieno, E, Shumba, E, Barasa, E, Ahmed, EB, Ahmed, EA, Lokilo, E, Mukantwari, E, Philomena, E, Belarbi, E, Simon-Loriere, E, Anoh, EA, Manuel, E, Leendertz, F, Taweh, FM, Wasfi, F, Abdelmoula, F, Takawira, FT, Derrar, F, Ajogbasile, F, Treurnicht, F, Onikepe, F, Ntoumi, F, Muyembe, FM, Ragomzingba, FEZ, Dratibi, FA, Iyanu, F-A, Mbunsu, GK, Thilliez, G, Kay, GL, Akpede, GO, van Zyl, GU, Awandare, GA, Kpeli, GS, Schubert, G, Maphalala, GP, Ranaivoson, HC, Omunakwe, HE, Onywera, H, Abe, H, Karray, H, Nansumba, H, Triki, H, Kadjo, HAA, Elgahzaly, H, Gumbo, H, Mathieu, H, Kavunga-Membo, H, Smeti, I, Olawoye, IB, Adetifa, IMO, Odia, I, Ben Boubaker, IB, Mohammad, IA, Ssewanyana, I, Wurie, I, Konstantinus, IS, Halatoko, JWA, Ayei, J, Sonoo, J, Makangara, J-CC, Tamfum, J-JM, Heraud, J-M, Shaffer, JG, Giandhari, J, Musyoki, J, Nkurunziza, J, Uwanibe, JN, Bhiman, JN, Yasuda, J, Morais, J, Kiconco, J, Sandi, JD, Huddleston, J, Odoom, JK, Morobe, JM, Gyapong, JO, Kayiwa, JT, Okolie, JC, Xavier, JS, Gyamfi, J, Wamala, JF, Bonney, JHK, Nyandwi, J, Everatt, J, Nakaseegu, J, Ngoi, JM, Namulondo, J, Oguzie, JU, Andeko, JC, Lutwama, JJ, Mogga, JJH, O'Grady, J, Siddle, KJ, Victoir, K, Adeyemi, KT, Tumedi, KA, Carvalho, KS, Mohammed, KS, Dellagi, K, Musonda, KG, Duedu, KO, Fki-Berrajah, L, Singh, L, Kepler, LM, Biscornet, L, Martins, LDO, Chabuka, L, Olubayo, L, Ojok, LD, Deng, LL, Ochola-Oyier, L, Tyers, L, Mine, M, Ramuth, M, Mastouri, M, ElHefnawi, M, Mbanne, M, Matsheka, M, Kebabonye, M, Diop, M, Momoh, M, Lima Mendonca, MDL, Venter, M, Paye, MF, Faye, M, Nyaga, MM, Mareka, M, Damaris, M-M, Mburu, MW, Mpina, MG, Owusu, M, Wiley, MR, Tatfeng, MY, Ayekaba, MO, Abouelhoda, M, Beloufa, MA, Seadawy, MG, Khalifa, MK, Matobo, MM, Kane, M, Salou, M, Mbulawa, MB, Mwenda, M, Allam, M, Phan, MVT, Abid, N, Rujeni, N, Abuzaid, N, Ismael, N, Elguindy, N, Top, NM, Dia, N, Mabunda, N, Hsiao, N-Y, Silochi, NB, Francisco, NM, Saasa, N, Bbosa, N, Murunga, N, Gumede, N, Wolter, N, Sitharam, N, Ndodo, N, Ajayi, NA, Tordo, N, Mbhele, N, Razanajatovo, NH, Iguosadolo, N, Mba, N, Kingsley, OC, Sylvanus, O, Femi, O, Adewumi, OM, Testimony, O, Ogunsanya, OA, Fakayode, O, Ogah, OE, Oludayo, O-E, Faye, O, Smith-Lawrence, P, Ondoa, P, Combe, P, Nabisubi, P, Semanda, P, Oluniyi, PE, Arnaldo, P, Quashie, PK, Okokhere, PO, Bejon, P, Dussart, P, Bester, PA, Mbala, PK, Kaleebu, P, Abechi, P, El-Shesheny, R, Joseph, R, Aziz, RK, Essomba, RG, Ayivor-Djanie, R, Njouom, R, Phillips, RO, Gorman, R, Kingsley, RA, Neto Rodrigues, RMDESA, Audu, RA, Carr, RAA, Gargouri, S, Masmoudi, S, Bootsma, S, Sankhe, S, Mohamed, SI, Femi, S, Mhalla, S, Hosch, S, Kassim, SK, Metha, S, Trabelsi, S, Agwa, SH, Mwangi, SW, Doumbia, S, Makiala-Mandanda, S, Aryeetey, S, Ahmed, SS, Ahmed, SM, Elhamoumi, S, Moyo, S, Lutucuta, S, Gaseitsiwe, S, Jalloh, S, Andriamandimby, SF, Oguntope, S, Grayo, S, Lekana-Douki, S, Prosolek, S, Ouangraoua, S, van Wyk, S, Schaffner, SF, Kanyerezi, S, Ahuka-Mundeke, S, Rudder, S, Pillay, S, Nabadda, S, Behillil, S, Budiaki, SL, van der Werf, S, Mashe, T, Mohale, T, Le-Viet, T, Velavan, TP, Schindler, T, Maponga, TG, Bedford, T, Anyaneji, UJ, Chinedu, U, Ramphal, U, George, UE, Enouf, V, Nene, V, Gorova, V, Roshdy, WH, Karim, WA, Ampofo, WK, Preiser, W, Choga, WT, Ahmed, YA, Ramphal, Y, Bediako, Y, Naidoo, Y, Butera, Y, de Laurent, ZR, Ouma, AEO, von Gottberg, A, Githinji, G, Moeti, M, Tomori, O, Sabeti, PC, Sall, AA, Oyola, SO, Tebeje, YK, Tessema, SK, de Oliveira, T, Happi, C, Lessells, R, Nkengasong, J, Wilkinson, E, Tegally, H, San, JE, Cotten, M, Moir, M, Tegomoh, B, Mboowa, G, Martin, DP, Baxter, C, Lambisia, AW, Diallo, A, Amoako, DG, Diagne, MM, Sisay, A, Zekri, A-RN, Gueye, AS, Sangare, AK, Ouedraogo, A-S, Sow, A, Musa, AO, Sesay, AK, Abias, AG, Elzagheid, A, Lagare, A, Kemi, A-S, Abar, AE, Johnson, AA, Fowotade, A, Oluwapelumi, AO, Amuri, AA, Juru, A, Kandeil, A, Mostafa, A, Rebai, A, Sayed, A, Kazeem, A, Balde, A, Christoffels, A, Trotter, AJ, Campbell, A, Keita, AK, Kone, A, Bouzid, A, Souissi, A, Agweyu, A, Naguib, A, Gutierrez, A, Nkeshimana, A, Page, AJ, Yadouleton, A, Vinze, A, Happi, AN, Chouikha, A, Iranzadeh, A, Maharaj, A, Batchi-Bouyou, AL, Ismail, A, Sylverken, AA, Goba, A, Femi, A, Sijuwola, AE, Marycelin, B, Salako, BL, Oderinde, BS, Bolajoko, B, Diarra, B, Herring, BL, Tsofa, B, Lekana-Douki, B, Mvula, B, Njanpop-Lafourcade, B-M, Marondera, BT, Khaireh, BA, Kouriba, B, Adu, B, Pool, B, McInnis, B, Brook, C, Williamson, C, Nduwimana, C, Anscombe, C, Pratt, CB, Scheepers, C, Akoua-Koffi, CG, Agoti, CN, Mapanguy, CM, Loucoubar, C, Onwuamah, CK, Ihekweazu, C, Malaka, CN, Peyrefitte, C, Grace, C, Omoruyi, CE, Rafai, CD, Morang'a, CM, Erameh, C, Lule, DB, Bridges, DJ, Mukadi-Bamuleka, D, Park, D, Rasmussen, DA, Baker, D, Nokes, DJ, Ssemwanga, D, Tshiabuila, D, Amuzu, DSY, Goedhals, D, Grant, DS, Omuoyo, DO, Maruapula, D, Wanjohi, DW, Foster-Nyarko, E, Lusamaki, EK, Simulundu, E, Ong'era, EM, Ngabana, EN, Abworo, EO, Otieno, E, Shumba, E, Barasa, E, Ahmed, EB, Ahmed, EA, Lokilo, E, Mukantwari, E, Philomena, E, Belarbi, E, Simon-Loriere, E, Anoh, EA, Manuel, E, Leendertz, F, Taweh, FM, Wasfi, F, Abdelmoula, F, Takawira, FT, Derrar, F, Ajogbasile, F, Treurnicht, F, Onikepe, F, Ntoumi, F, Muyembe, FM, Ragomzingba, FEZ, Dratibi, FA, Iyanu, F-A, Mbunsu, GK, Thilliez, G, Kay, GL, Akpede, GO, van Zyl, GU, Awandare, GA, Kpeli, GS, Schubert, G, Maphalala, GP, Ranaivoson, HC, Omunakwe, HE, Onywera, H, Abe, H, Karray, H, Nansumba, H, Triki, H, Kadjo, HAA, Elgahzaly, H, Gumbo, H, Mathieu, H, Kavunga-Membo, H, Smeti, I, Olawoye, IB, Adetifa, IMO, Odia, I, Ben Boubaker, IB, Mohammad, IA, Ssewanyana, I, Wurie, I, Konstantinus, IS, Halatoko, JWA, Ayei, J, Sonoo, J, Makangara, J-CC, Tamfum, J-JM, Heraud, J-M, Shaffer, JG, Giandhari, J, Musyoki, J, Nkurunziza, J, Uwanibe, JN, Bhiman, JN, Yasuda, J, Morais, J, Kiconco, J, Sandi, JD, Huddleston, J, Odoom, JK, Morobe, JM, Gyapong, JO, Kayiwa, JT, Okolie, JC, Xavier, JS, Gyamfi, J, Wamala, JF, Bonney, JHK, Nyandwi, J, Everatt, J, Nakaseegu, J, Ngoi, JM, Namulondo, J, Oguzie, JU, Andeko, JC, Lutwama, JJ, Mogga, JJH, O'Grady, J, Siddle, KJ, Victoir, K, Adeyemi, KT, Tumedi, KA, Carvalho, KS, Mohammed, KS, Dellagi, K, Musonda, KG, Duedu, KO, Fki-Berrajah, L, Singh, L, Kepler, LM, Biscornet, L, Martins, LDO, Chabuka, L, Olubayo, L, Ojok, LD, Deng, LL, Ochola-Oyier, L, Tyers, L, Mine, M, Ramuth, M, Mastouri, M, ElHefnawi, M, Mbanne, M, Matsheka, M, Kebabonye, M, Diop, M, Momoh, M, Lima Mendonca, MDL, Venter, M, Paye, MF, Faye, M, Nyaga, MM, Mareka, M, Damaris, M-M, Mburu, MW, Mpina, MG, Owusu, M, Wiley, MR, Tatfeng, MY, Ayekaba, MO, Abouelhoda, M, Beloufa, MA, Seadawy, MG, Khalifa, MK, Matobo, MM, Kane, M, Salou, M, Mbulawa, MB, Mwenda, M, Allam, M, Phan, MVT, Abid, N, Rujeni, N, Abuzaid, N, Ismael, N, Elguindy, N, Top, NM, Dia, N, Mabunda, N, Hsiao, N-Y, Silochi, NB, Francisco, NM, Saasa, N, Bbosa, N, Murunga, N, Gumede, N, Wolter, N, Sitharam, N, Ndodo, N, Ajayi, NA, Tordo, N, Mbhele, N, Razanajatovo, NH, Iguosadolo, N, Mba, N, Kingsley, OC, Sylvanus, O, Femi, O, Adewumi, OM, Testimony, O, Ogunsanya, OA, Fakayode, O, Ogah, OE, Oludayo, O-E, Faye, O, Smith-Lawrence, P, Ondoa, P, Combe, P, Nabisubi, P, Semanda, P, Oluniyi, PE, Arnaldo, P, Quashie, PK, Okokhere, PO, Bejon, P, Dussart, P, Bester, PA, Mbala, PK, Kaleebu, P, Abechi, P, El-Shesheny, R, Joseph, R, Aziz, RK, Essomba, RG, Ayivor-Djanie, R, Njouom, R, Phillips, RO, Gorman, R, Kingsley, RA, Neto Rodrigues, RMDESA, Audu, RA, Carr, RAA, Gargouri, S, Masmoudi, S, Bootsma, S, Sankhe, S, Mohamed, SI, Femi, S, Mhalla, S, Hosch, S, Kassim, SK, Metha, S, Trabelsi, S, Agwa, SH, Mwangi, SW, Doumbia, S, Makiala-Mandanda, S, Aryeetey, S, Ahmed, SS, Ahmed, SM, Elhamoumi, S, Moyo, S, Lutucuta, S, Gaseitsiwe, S, Jalloh, S, Andriamandimby, SF, Oguntope, S, Grayo, S, Lekana-Douki, S, Prosolek, S, Ouangraoua, S, van Wyk, S, Schaffner, SF, Kanyerezi, S, Ahuka-Mundeke, S, Rudder, S, Pillay, S, Nabadda, S, Behillil, S, Budiaki, SL, van der Werf, S, Mashe, T, Mohale, T, Le-Viet, T, Velavan, TP, Schindler, T, Maponga, TG, Bedford, T, Anyaneji, UJ, Chinedu, U, Ramphal, U, George, UE, Enouf, V, Nene, V, Gorova, V, Roshdy, WH, Karim, WA, Ampofo, WK, Preiser, W, Choga, WT, Ahmed, YA, Ramphal, Y, Bediako, Y, Naidoo, Y, Butera, Y, de Laurent, ZR, Ouma, AEO, von Gottberg, A, Githinji, G, Moeti, M, Tomori, O, Sabeti, PC, Sall, AA, Oyola, SO, Tebeje, YK, Tessema, SK, de Oliveira, T, Happi, C, Lessells, R, Nkengasong, J, and Wilkinson, E
- Abstract
Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.
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- 2022
4. Seroprevalence of antibodies to SARS-CoV-2 among health care workers in Kenya
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Etyang, AO, Lucinde, R, Karanja, H, Kalu, C, Mugo, D, Nyagwange, J, Gitonga, J, Tuju, J, Wanjiku, P, Karani, A, Mutua, S, Maroko, H, Nzomo, E, Maitha, E, Kamuri, E, Kaugiria, T, Weru, J, Ochola, LB, Kilimo, N, Charo, S, Emukule, N, Moracha, W, Mukabi, D, Okuku, R, Ogutu, M, Angujo, B, Otiende, M, Bottomley, C, Otieno, E, Ndwiga, L, Nyaguara, A, Voller, S, Agoti, C, Nokes, DJ, Ochola-Oyier, LI, Aman, R, Amoth, P, Mwangangi, M, Kasera, K, Ng'ang'a, W, Adetifa, I, Kagucia, EW, Gallagher, K, Uyoga, S, Tsofa, B, Barasa, E, Bejon, P, Scott, JAG, Agweyu, A, and Warimwe, G
- Subjects
QR180 ,virus diseases ,RA - Abstract
Background Few studies have assessed the seroprevalence of antibodies against SARS-CoV-2 among Health Care Workers (HCWs) in Africa. We report findings from a survey among HCWs in three counties in Kenya. Methods We recruited 684 HCWs from Kilifi (rural), Busia (rural) and Nairobi (urban) counties. The serosurvey was conducted between 30th July 2020 and 4th December 2020. We tested for IgG antibodies to SARS-CoV-2 spike protein using ELISA. Assay sensitivity and specificity were 93% (95% CI 88-96%) and 99% (95% CI 98-99.5%), respectively. We adjusted prevalence estimates using Bayesian modeling to account for assay performance. Results Crude overall seroprevalence was 19.7% (135/684). After adjustment for assay performance seroprevalence was 20.8% (95% CrI 17.5-24.4%). Seroprevalence varied significantly (p Conclusion These initial data demonstrate a high seroprevalence of antibodies to SARS-CoV-2 among HCWs in Kenya. There was significant variation in seroprevalence by region, but not by cadre.
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- 2022
5. The cost of integrating hepatitis B virus vaccine into national immunization programmes: a case study from Addis Ababa
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EDMUNDS, WJ, DEJENE, A, MEKONNEN, Y, HAILE, M, ALEMNU, W, and NOKES, DJ
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- 2000
6. Social contact patterns and implications for infectious disease transmission - a systematic review and meta-analysis of contact surveys.
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Mousa, A, Winskill, P, Watson, OJ, Ratmann, O, Monod, M, Ajelli, M, Diallo, A, Dodd, PJ, Grijalva, CG, Kiti, MC, Krishnan, A, Kumar, R, Kumar, S, Kwok, KO, Lanata, CF, de Waroux, OLP, Leung, K, Mahikul, W, Melegaro, A, Morrow, CD, Mossong, J, Neal, EF, Nokes, DJ, Pan-Ngum, W, Potter, GE, Russell, FM, Saha, S, Sugimoto, JD, Wei, WI, Wood, RR, Wu, J, Zhang, J, Walker, P, Whittaker, C, Mousa, A, Winskill, P, Watson, OJ, Ratmann, O, Monod, M, Ajelli, M, Diallo, A, Dodd, PJ, Grijalva, CG, Kiti, MC, Krishnan, A, Kumar, R, Kumar, S, Kwok, KO, Lanata, CF, de Waroux, OLP, Leung, K, Mahikul, W, Melegaro, A, Morrow, CD, Mossong, J, Neal, EF, Nokes, DJ, Pan-Ngum, W, Potter, GE, Russell, FM, Saha, S, Sugimoto, JD, Wei, WI, Wood, RR, Wu, J, Zhang, J, Walker, P, and Whittaker, C
- Abstract
BACKGROUND: Transmission of respiratory pathogens such as SARS-CoV-2 depends on patterns of contact and mixing across populations. Understanding this is crucial to predict pathogen spread and the effectiveness of control efforts. Most analyses of contact patterns to date have focused on high-income settings. METHODS: Here, we conduct a systematic review and individual-participant meta-analysis of surveys carried out in low- and middle-income countries and compare patterns of contact in these settings to surveys previously carried out in high-income countries. Using individual-level data from 28,503 participants and 413,069 contacts across 27 surveys, we explored how contact characteristics (number, location, duration, and whether physical) vary across income settings. RESULTS: Contact rates declined with age in high- and upper-middle-income settings, but not in low-income settings, where adults aged 65+ made similar numbers of contacts as younger individuals and mixed with all age groups. Across all settings, increasing household size was a key determinant of contact frequency and characteristics, with low-income settings characterised by the largest, most intergenerational households. A higher proportion of contacts were made at home in low-income settings, and work/school contacts were more frequent in high-income strata. We also observed contrasting effects of gender across income strata on the frequency, duration, and type of contacts individuals made. CONCLUSIONS: These differences in contact patterns between settings have material consequences for both spread of respiratory pathogens and the effectiveness of different non-pharmaceutical interventions. FUNDING: This work is primarily being funded by joint Centre funding from the UK Medical Research Council and DFID (MR/R015600/1).
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- 2021
7. Proposal for Human Respiratory Syncytial Virus Nomenclature below the Species Level.
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Salimi, V, Viegas, M, Trento, A, Agoti, CN, Anderson, LJ, Avadhanula, V, Bahl, J, Bont, L, Brister, JR, Cane, PA, Galiano, M, Graham, BS, Hatcher, EL, Hellferscee, O, Henke, DM, Hirve, S, Jackson, S, Keyaerts, E, Kragten-Tabatabaie, L, Lindstrom, S, Nauwelaers, I, Nokes, DJ, Openshaw, PJ, Peret, TC, Piedra, PA, Ramaekers, K, Rector, A, Trovão, NS, von Gottberg, A, Zambon, M, Zhang, W, Williams, TC, Barr, IG, Buchholz, UJ, Salimi, V, Viegas, M, Trento, A, Agoti, CN, Anderson, LJ, Avadhanula, V, Bahl, J, Bont, L, Brister, JR, Cane, PA, Galiano, M, Graham, BS, Hatcher, EL, Hellferscee, O, Henke, DM, Hirve, S, Jackson, S, Keyaerts, E, Kragten-Tabatabaie, L, Lindstrom, S, Nauwelaers, I, Nokes, DJ, Openshaw, PJ, Peret, TC, Piedra, PA, Ramaekers, K, Rector, A, Trovão, NS, von Gottberg, A, Zambon, M, Zhang, W, Williams, TC, Barr, IG, and Buchholz, UJ
- Abstract
Human respiratory syncytial virus (HRSV) is the leading viral cause of serious pediatric respiratory disease, and lifelong reinfections are common. Its 2 major subgroups, A and B, exhibit some antigenic variability, enabling HRSV to circulate annually. Globally, research has increased the number of HRSV genomic sequences available. To ensure accurate molecular epidemiology analyses, we propose a uniform nomenclature for HRSV-positive samples and isolates, and HRSV sequences, namely: HRSV/subgroup identifier/geographic identifier/unique sequence identifier/year of sampling. We also propose a template for submitting associated metadata. Universal nomenclature would help researchers retrieve and analyze sequence data to better understand the evolution of this virus.
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- 2021
8. Multiple Introductions and Predominance of Rotavirus Group A Genotype G3P[8] in Coastal Kenya in 2018, 4 Years After Nationwide Vaccine Introduction
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Breiman Rf, Murunga N, Agoti Cn, Mike J. Mwanga, Parashar Ud, Nokes Dj, Tate Je, Verani, Gicheru E, and Omore R
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Rotavirus ,Genotype ,medicine ,biochemistry ,Biology ,medicine.disease_cause ,Group A ,Vaccine introduction ,3. Good health ,Demography - Abstract
Globally, rotavirus group A (RVA) remains a major cause of severe childhood diarrhea, despite the use of vaccines in > 100 countries. RVA sequencing for local outbreaks facilitates investigation into strain composition, origins, spread, and vaccine failure. In 2018, we collected 248 stool samples from children aged
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- 2020
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9. Epidemiology of COVID-19 infections on routine polymerase chain reaction (PCR) and serology testing in Coastal Kenya
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Nyagwange, J, Ndwiga, L, Muteru, K, Wamae, K, Tuju, J, Testing Team, C, Kutima, B, Gitonga, J, Karanja, H, Mugo, D, Kasera, K, Amoth, P, Murunga, N, Babu, L, Otieno, E, Githinji, G, Nokes, DJ, Tsofa, B, Orindi, B, Barasa, E, Warimwe, G, Agoti, CN, Bejon, P, and Ochola-Oyier, LI
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Medicine (miscellaneous) ,General Biochemistry, Genetics and Molecular Biology - Abstract
Background: There are limited studies in Africa describing the epidemiology, clinical characteristics and serostatus of individuals tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. We tested routine samples from the Coastal part of Kenya between 17th March 2020 and 30th June 2021. Methods: SARS-CoV-2 infections identified using reverse transcription polymerase chain reaction (RT-PCR) and clinical surveillance data at the point of sample collection were used to classify as either symptomatic or asymptomatic. IgG antibodies were measured in sera samples, using a well validated in-house enzyme-linked immunosorbent assay (ELISA). Results: Mombasa accounted for 56.2% of all the 99,694 naso-pharyngeal/oro-pharyngeal swabs tested, and males constituted the majority tested (73.4%). A total of 7737 (7.7%) individuals were SARS-CoV-2 positive by RT-PCR. The majority (i.e., 92.4%) of the RT-PCR positive individuals were asymptomatic. Testing was dominated by mass screening and travellers, and even at health facility level 91.6% of tests were from individuals without symptoms. Out of the 97,124 tests from asymptomatic individuals 7,149 (7%) were positive and of the 2,568 symptomatic individuals 588 (23%) were positive. In total, 2458 serum samples were submitted with paired naso-pharyngeal/oro-pharyngeal samples and 45% of the RT-PCR positive samples and 20% of the RT-PCR negative samples were paired with positive serum samples. Symptomatic individuals had significantly higher antibody levels than asymptomatic individuals and become RT-PCR negative on repeat testing earlier than asymptomatic individuals. Conclusions: In conclusion, the majority of SARS-CoV-2 infections identified by routine testing in Coastal Kenya were asymptomatic. This reflects the testing practice of health services in Kenya, but also implies that asymptomatic infection is very common in the population. Symptomatic infection may be less common, or it may be that individuals do not present for testing when they have symptoms.
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- 2022
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10. Whole genome sequencing and phylogenetic analysis of human metapneumovirus strains from Kenya and Zambia
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Kamau, E, Oketch, JW, de Laurent, ZR, Phan, Vu, Agoti, CN, Nokes, DJ, Cotten, M, Kamau, E, Oketch, JW, de Laurent, ZR, Phan, Vu, Agoti, CN, Nokes, DJ, and Cotten, M
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- 2020
11. Genomic analysis of respiratory syncytial virus infections in households and utility in inferring who infects the infant
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Agoti, CN, Phan, Vu, Munywoki, PK, Githinji, G, Medley, GF, Canes, PA, Kellam, P, Cotten, Matthew, Nokes, DJ, Agoti, CN, Phan, Vu, Munywoki, PK, Githinji, G, Medley, GF, Canes, PA, Kellam, P, Cotten, Matthew, and Nokes, DJ
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- 2019
12. Complete Genome Sequences of Dengue Virus Type 2 Strains from Kilifi, Kenya
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Kamau, E, Agoti, CN, Ngoi, JM, de Laurent, ZR, Gitonga, J, Cotten, Matthew, Phan, Vu, Nokes, DJ, Delwart, E, Sanders, E, Warimwe, GM, Kamau, E, Agoti, CN, Ngoi, JM, de Laurent, ZR, Gitonga, J, Cotten, Matthew, Phan, Vu, Nokes, DJ, Delwart, E, Sanders, E, and Warimwe, GM
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- 2019
13. Corrigendum: Whole genome analysis of local Kenyan and global sequences unravels the epidemiological and molecular evolutionary dynamics of RSV genotype ON1 strains
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Otieno, JR, Kamau, EM, Oketch, JW, Ngoi, JM, Gichuki, AM, Binter, S, Otieno, GP, Ngama, M, Agoti, CN, Cane, PA, Kellam, P, Cotten, M, Lemey, P, and Nokes, DJ
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Science & Technology ,Virology ,Life Sciences & Biomedicine - Abstract
This is a correction to: Virus Evolution, Volume 4, Issue 2, July 2018, vey027, https://doi.org/10.1093/ve/vey027
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- 2018
14. Evaluating the performance of tools used to call minority variants from whole genome short-read data [version 2; referees: 2 approved]
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Mohammed, KS, Kibinge, N, Prins, P, Agoti, CN, Cotten, Matthew, Nokes, DJ, Brand, S, Githinji, G, Mohammed, KS, Kibinge, N, Prins, P, Agoti, CN, Cotten, Matthew, Nokes, DJ, Brand, S, and Githinji, G
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- 2018
15. Human Coronavirus NL63 Molecular Epidemiology and Evolutionary Patterns in Rural Coastal Kenya
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Kiyuka, PK, Agoti, CN, Munywoki, PK, Njeru, R, Bett, A, Otieno, JR, Otieno, GP, Kamau, E, Clark, TG, Hoek, L, Kellam, P, Nokes, DJ, Cotten, Matthew, Kiyuka, PK, Agoti, CN, Munywoki, PK, Njeru, R, Bett, A, Otieno, JR, Otieno, GP, Kamau, E, Clark, TG, Hoek, L, Kellam, P, Nokes, DJ, and Cotten, Matthew
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- 2018
16. Whole genome analysis of local Kenyan and global sequences unravels the epidemiological and molecular evolutionary dynamics of RSVgenotype ON1 strains
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Otieno, JR, primary, Kamau, EM, additional, Oketch, JW, additional, Ngoi, JM, additional, Gichuki, AM, additional, Binter, Š, additional, Otieno, GP, additional, Ngama, M, additional, Agoti, CN, additional, Cane, PA, additional, Kellam, P, additional, Cotten, M, additional, Lemey, P, additional, and Nokes, DJ, additional
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- 2018
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17. Global, regional, and national disease burden estimates of acute lower respiratory infections due to respiratory syncytial virus in young children in 2015: a systematic review and modelling study
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Shi, T, McAllister, DA, O'Brien, KL, Simoes, EAF, Madhi, SA, Gessner, BD, Polack, FP, Balsells, E, Acacio, S, Aguayo, C, Alassani, I, Ali, A, Antonio, M, Awasthi, S, Awori, JO, Azziz-Baumgartner, E, Baggett, HC, Baillie, VL, Balmaseda, A, Barahona, A, Basnet, S, Bassat, Q, Basualdo, W, Bigogo, G, Bont, L, Breiman, RF, Brooks, WA, Broor, S, Bruce, N, Bruden, D, Buchy, P, Campbell, S, Carosone-Link, P, Chadha, M, Chipeta, J, Chou, M, Clara, W, Cohen, C, de Cuellar, E, Dang, DA, Dash-yandag, B, Deloria-Knoll, M, Dherani, M, Eap, T, Ebruke, BE, Echavarria, M, de Freitas Lázaro Emediato, CC, Fasce, RA, Feikin, DR, Feng, L, Gentile, A, Gordon, A, Goswami, D, Goyet, S, Groome, M, Halasa, N, Hirve, S, Homaira, N, Howie, SRC, Jara, J, Jroundi, I, Kartasasmita, CB, Khuri-Bulos, N, Kotloff, KL, Krishnan, A, Libster, R, Lopez, O, Lucero, MG, Lucion, F, Lupisan, SP, Marcone, DN, McCracken, JP, Mejia, M, Moisi, JC, Montgomery, JM, Moore, DP, Moraleda, C, Moyes, J, Munywoki, P, Mutyara, K, Nicol, MP, Nokes, DJ, Nymadawa, P, da Costa Oliveira, MT, Oshitani, H, Pandey, N, Paranhos-Baccalà, G, Phillips, LN, Picot, VS, Rahman, M, Rakoto-Andrianarivelo, M, Rasmussen, ZA, Rath, BA, Robinson, A, Romero, C, Russomando, G, Salimi, V, Sawatwong, P, Scheltema, N, Schweiger, B, Shi, T, McAllister, DA, O'Brien, KL, Simoes, EAF, Madhi, SA, Gessner, BD, Polack, FP, Balsells, E, Acacio, S, Aguayo, C, Alassani, I, Ali, A, Antonio, M, Awasthi, S, Awori, JO, Azziz-Baumgartner, E, Baggett, HC, Baillie, VL, Balmaseda, A, Barahona, A, Basnet, S, Bassat, Q, Basualdo, W, Bigogo, G, Bont, L, Breiman, RF, Brooks, WA, Broor, S, Bruce, N, Bruden, D, Buchy, P, Campbell, S, Carosone-Link, P, Chadha, M, Chipeta, J, Chou, M, Clara, W, Cohen, C, de Cuellar, E, Dang, DA, Dash-yandag, B, Deloria-Knoll, M, Dherani, M, Eap, T, Ebruke, BE, Echavarria, M, de Freitas Lázaro Emediato, CC, Fasce, RA, Feikin, DR, Feng, L, Gentile, A, Gordon, A, Goswami, D, Goyet, S, Groome, M, Halasa, N, Hirve, S, Homaira, N, Howie, SRC, Jara, J, Jroundi, I, Kartasasmita, CB, Khuri-Bulos, N, Kotloff, KL, Krishnan, A, Libster, R, Lopez, O, Lucero, MG, Lucion, F, Lupisan, SP, Marcone, DN, McCracken, JP, Mejia, M, Moisi, JC, Montgomery, JM, Moore, DP, Moraleda, C, Moyes, J, Munywoki, P, Mutyara, K, Nicol, MP, Nokes, DJ, Nymadawa, P, da Costa Oliveira, MT, Oshitani, H, Pandey, N, Paranhos-Baccalà, G, Phillips, LN, Picot, VS, Rahman, M, Rakoto-Andrianarivelo, M, Rasmussen, ZA, Rath, BA, Robinson, A, Romero, C, Russomando, G, Salimi, V, Sawatwong, P, Scheltema, N, and Schweiger, B
- Abstract
Background We have previously estimated that respiratory syncytial virus (RSV) was associated with 22% of all episodes of (severe) acute lower respiratory infection (ALRI) resulting in 55 000 to 199 000 deaths in children younger than 5 years in 2005. In the past 5 years, major research activity on RSV has yielded substantial new data from developing countries. With a considerably expanded dataset from a large international collaboration, we aimed to estimate the global incidence, hospital admission rate, and mortality from RSV-ALRI episodes in young children in 2015. Methods We estimated the incidence and hospital admission rate of RSV-associated ALRI (RSV-ALRI) in children younger than 5 years stratified by age and World Bank income regions from a systematic review of studies published between Jan 1, 1995, and Dec 31, 2016, and unpublished data from 76 high quality population-based studies. We estimated the RSV-ALRI incidence for 132 developing countries using a risk factor-based model and 2015 population estimates. We estimated the in-hospital RSV-ALRI mortality by combining in-hospital case fatality ratios with hospital admission estimates from hospital-based (published and unpublished) studies. We also estimated overall RSV-ALRI mortality by identifying studies reporting monthly data for ALRI mortality in the community and RSV activity. Findings We estimated that globally in 2015, 33·1 million (uncertainty range [UR] 21·6–50·3) episodes of RSV-ALRI, resulted in about 3·2 million (2·7–3·8) hospital admissions, and 59 600 (48 000–74 500) in-hospital deaths in children younger than 5 years. In children younger than 6 months, 1·4 million (UR 1·2–1·7) hospital admissions, and 27 300 (UR 20 700–36 200) in-hospital deaths were due to RSV-ALRI. We also estimated that the overall RSV-ALRI mortality could be as high as 118 200 (UR 94 600–149 400). Incidence and mortality varied substantially from year to year in any given population. Interpretation Globally, RSV is a com
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- 2017
18. Global respiratory syncytial virus-associated mortality in young children (RSV GOLD): a retrospective case series
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Scheltema, NM, Gentile, A, Lucion, F, Nokes, DJ, Munywoki, PK, Madhi, SA, Groome, MJ, Cohen, C, Moyes, J, Thorburn, K, Thamthitiwat, S, Oshitani, H, Lupisan, SP, Gordon, A, Sanchez, JF, O'Brien, KL, Gessner, BD, Sutanto, A, Mejias, A, Ramilo, O, Khuri-Bulos, N, Halasa, N, de-Paris, F, Pires, MR, Spaeder, MC, Paes, BA, Simoes, EAF, Leung, TF, Oliveira, MTDC, Emediato, CCDFL, Bassat, Q, Butt, W, Chi, H, Aamir, UB, Ali, A, Lucero, MG, Fasce, RA, Lopez, O, Rath, BA, Polack, FP, Papenburg, J, Roglic, S, Ito, H, Goka, EA, Grobbee, DE, Nair, H, Bont, LJ, Scheltema, NM, Gentile, A, Lucion, F, Nokes, DJ, Munywoki, PK, Madhi, SA, Groome, MJ, Cohen, C, Moyes, J, Thorburn, K, Thamthitiwat, S, Oshitani, H, Lupisan, SP, Gordon, A, Sanchez, JF, O'Brien, KL, Gessner, BD, Sutanto, A, Mejias, A, Ramilo, O, Khuri-Bulos, N, Halasa, N, de-Paris, F, Pires, MR, Spaeder, MC, Paes, BA, Simoes, EAF, Leung, TF, Oliveira, MTDC, Emediato, CCDFL, Bassat, Q, Butt, W, Chi, H, Aamir, UB, Ali, A, Lucero, MG, Fasce, RA, Lopez, O, Rath, BA, Polack, FP, Papenburg, J, Roglic, S, Ito, H, Goka, EA, Grobbee, DE, Nair, H, and Bont, LJ
- Abstract
BACKGROUND: Respiratory syncytial virus (RSV) infection is an important cause of pneumonia mortality in young children. However, clinical data for fatal RSV infection are scarce. We aimed to identify clinical and socioeconomic characteristics of children aged younger than 5 years with RSV-related mortality using individual patient data. METHODS: In this retrospective case series, we developed an online questionnaire to obtain individual patient data for clinical and socioeconomic characteristics of children aged younger than 5 years who died with community-acquired RSV infection between Jan 1, 1995, and Oct 31, 2015, through leading research groups for child pneumonia identified through a comprehensive literature search and existing research networks. For the literature search, we searched PubMed for articles published up to Feb 3, 2015, using the key terms "RSV", "respiratory syncytial virus", or "respiratory syncytial viral" combined with "mortality", "fatality", "death", "died", "deaths", or "CFR" for articles published in English. We invited researchers and clinicians identified to participate between Nov 1, 2014, and Oct 31, 2015. We calculated descriptive statistics for all variables. FINDINGS: We studied 358 children with RSV-related in-hospital death from 23 countries across the world, with data contributed from 31 research groups. 117 (33%) children were from low-income or lower middle-income countries, 77 (22%) were from upper middle-income countries, and 164 (46%) were from high-income countries. 190 (53%) were male. Data for comorbidities were missing for some children in low-income and middle-income countries. Available data showed that comorbidities were present in at least 33 (28%) children from low-income or lower middle-income countries, 36 (47%) from upper middle-income countries, and 114 (70%) from high-income countries. Median age for RSV-related deaths was 5·0 months (IQR 2·3-11·0) in low-income or lower middle-income countries, 4·0 years (2·0-1
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- 2017
19. Pre-and post-vaccine measles antibody status in infants using serum and oral-fluid testing: an evaluation of routine immunization in Addis Ababa, Ethiopia
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Nigatu, Wondatir, Nokes, DJ, Cohen, BJ, Brown, DWG, and Vyse, AJ
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Despite the use of measles vaccine, measles incidence in Ethiopia remains a serious public health concern. Progress towards the control of measles requires a national capacity to measure programme effectiveness. This includes evaluation of vaccine effectiveness in infants attending the routine immunization. Objective: To evaluate the effectiveness of the measles routine immunization activities in Addis Ababa. Methods: This study evaluated pre- and post-vaccine antibodies in children attending for routine measles immunization in Addis Ababa. Infants who presented to 3 health centres between September-November, 1998 for routine measles vaccination were enrolled in the study. In total 296 infants (median age 9 months) provided blood and oral-fluid samples, of which 230 (77%) returned to provide post vaccine samples (median interval of 15 days). Screening of sera was undertaken using commercial indirect ELISA kits, and of oral fluids using an in-house IgM-capture ELISA. Results: Pre-vaccination serology showed 1.4% IgM positive, 2.0% IgG positive, and 97.0% seronegative. Post-vaccination seroprevalence of IgM and IgG was 91.3% and 85.0%, respectively, and 92.9% overall. The seroconversion rate was 92.6% (95%CI 88.2-95.7). Based on oral fluid results, 87.3% (95% CI 82.0-91.4) of children showed specific IgM antibody conversion. Conclusion: These results are in support of the recommended age for measles vaccination in Addis Ababa, and show the merit of oral-fluid IgM screening as a non-invasive alternative to blood for assessing vaccine effectiveness. Ethiop.J.Health Dev. 2003; 17(3): 149-155
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- 2004
20. Rotavirus within day care centres in Oxfordshire, UK: characterization of partial immunity
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White, LJ, Buttery, J, Cooper, B, Nokes, DJ, Medley, GF, White, LJ, Buttery, J, Cooper, B, Nokes, DJ, and Medley, GF
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Repeated measures data for rotavirus infection in children within 14 day care centres (DCCs) in the Oxfordshire area, UK, are used to explore aspects of rotavirus transmission and immunity. A biologically realistic model for the transmission of infection is presented as a set of probability models suitable for application to the data. Two transition events are modelled separately: incidence and recovery. The complexity of the underlying mechanistic model is reflected in the choice of the fixed variables in the probability models. Parameter estimation was carried out using a Bayesian Markov chain Monte Carlo method. We use the parameter estimates obtained to build a profile of the natural history of rotavirus reinfection in an individual child. We infer that rotavirus transmission in children in DCCs is dependent on the DCC prevalence, with symptomatic infection of longer duration, but no more infectious per day of infectious period, than asymptomatic infection. There was evidence that a recent previous infection reduces the risk of disease and, to a lesser extent, reinfection, but not duration of infection. The results provide evidence that partial immunity to rotavirus infection develops over several time scales.
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- 2008
21. A frequentist approach to estimating the force of infection for a respiratory disease using repeated measurement data from a birth cohort
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Mwambi, H, primary, Ramroop, S, additional, White, LJ, additional, Okiro, EA, additional, Nokes, DJ, additional, Shkedy, Z, additional, and Molenberghs, G, additional
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- 2011
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22. Comparison of three methods of collecting nasal specimens for respiratory virus analysis
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Ngama, MJ, primary, Ouma, B, additional, English, ME, additional, and Nokes, DJ, additional
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- 2004
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23. Predicted patterns of emergence of vaccine resistant strains of hepatitis B virus
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Wilson, JN, primary, Nokes, DJ, additional, and Carman, WF, additional
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- 1998
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24. Emergency triage assessment for hypoxaemia in neonates and young children in a Kenyan hospital: an observational study.
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Mwaniki MK, Nokes DJ, Ignas J, Munywoki P, Ngama M, Newton CRJ, Maitland K, and Berkley JA
- Abstract
Objective To describe the prevalence of hypoxaemia in children admitted to a hospital in Kenya for the purpose of identifying clinical signs of hypoxaemia for emergency triage assessment, and to test the hypothesis that such signs lead to correct identification of hypoxaemia in children, irrespective of their diagnosis. Methods From 2002 to 2005 we prospectively collected clinical data and pulse oximetry measurements for all paediatric admissions to Kilifi District Hospital, Kenya, irrespective of diagnosis, and assessed the prevalence of hypoxaemia in relation to the WHO clinical syndromes of 'pneumonia' on admission and the final diagnoses made at discharge. We used the data collected over the first three years to derive signs predictive of hypoxaemia, and data from the fourth year to validate those signs. Findings Hypoxemia was found in 977 of 15 289 (6.4%) of all admissions (5% to 19% depending on age group) and was strongly associated with inpatient mortality (age-adjusted risk ratio: 4.5; 95% confidence interval, CI: 3.8--5.3). Although most hypoxaemic children aged >= 60 days met the WHO criteria for a syndrome of 'pneumonia' on admission, only 215 of the 693 (31%) such children had a final diagnosis of lower respiratory tract infection (LRTI). The most predictive signs for hypoxaemia included shock, a heart rate < 80 beats per minute, irregular breathing, a respiratory rate > 60 breaths per minute and impaired consciousness. However, 5--15% of the children who had hypoxaemia on admission were missed, and 18% of the children were incorrectly identified as hypoxaemic. Conclusion The syndromes of pneumonia make it possible to identify most hypoxaemic children, including those without LRTI. Shock, bradycardia and irregular breathing are important predictive signs, and severe malaria with respiratory distress is a common cause of hypoxaemia. Overall, however, clinical signs are poor predictors of hypoxaemia, and using pulse oximetry in resource-poor health facilities to target oxygen therapy is likely to save costs. Copyright © 2009 World Health Organization [ABSTRACT FROM AUTHOR]
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- 2009
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25. The transmission dynamics of groups A and B human respiratory syncytial virus (hRSV) in England & Wales and Finland: seasonality and cross-protection.
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White LJ, Waris M, Cane PA, Nokes DJ, Medley GF, White, L J, Waris, M, Cane, P A, Nokes, D J, and Medley, G F
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- 2005
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26. Seroepidemiology of measles in Addis Ababa, Ethiopia: implications for control through vaccination.
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Enquselassie F, Ayele W, Dejene A, Messele T, Abebe A, Cutts FT, and Nokes DJ
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- 2003
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27. Rotavirus genetic diversity, disease association, and temporal change in hospitalized rural Kenyan children.
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Nokes DJ, Peenze I, Netshifhefhe L, Abwao J, De Beer MC, Seheri M, Williams TN, Page N, Steele D, Nokes, D James, Peenze, Ina, Netshifhefhe, Lufuno, Abwao, John, De Beer, Mariet C, Seheri, Mapaseka, Williams, Thomas N, Page, Nicola, and Steele, Duncan
- Abstract
Background: The effectiveness of rotavirus vaccines will be dependent on the immunity conferred against prevalent and emergent variants causing severe diarrheal disease. Longitudinal surveillance of disease-causing strains is a prerequisite to intervention.Methods: Molecular characterization was conducted on rotavirus-positive stool samples from children admitted with diarrhea to a rural district hospital during 2002-2004. Extracted viral RNA was separated by polyacrylamide gel electrophoresis, and rotavirus VP4 (P types) and VP7 (G types) specificities were determined.Results: Among 558 investigated cases, the predominant genotype was P[8]G1 (42%), followed by P[8]G9 (15%), P[4]G8 (7%), P[6]G8 (6%), and P[8]G8 (4%), with 10% mixed strains. Overall, there were 6 different P types and 7 G types. No association was identified between genotype and child age, sex, or severity of diarrhea. The P and G genotypes and polyacrylamide gel electropherotypes showed significant temporal variation in frequency: P[8]G1 decreased from 51% (95% confidence interval [CI], 43%-58%) in 2002 to 30% (95% CI, 24%-37%) in 2004, and P[4]G8 increased from 2% (95% CI, 0%-5%) in 2002 to 13% (95% CI, 9%-19%). Quarterly data revealed seasonally endemic and emergence and/or decay patterns.Conclusions: Our study of rotavirus strains causing severe diarrhea in rural Kenyan children showed a predominance of P[8]G1 and confirms the importance of G8 and G9 strains in sub-Saharan Africa. Considerable genetic diversity of rotavirus strains was observed, including substantial mixed and unusual types, coupled with significant temporal strain variation and emergence. These results warn of variable vaccine efficacy and the need for long-term surveillance of circulating rotavirus genotypes. [ABSTRACT FROM AUTHOR]- Published
- 2010
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28. Has oral fluid the potential to replace serum for the evaluation of population immunity levels?...
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Nokes DJ, Enquselassie F, Nigatu W, Vyse AJ, Cohen BJ, Brown DW, and Cutts FT
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OBJECTIVE: To assess the suitability of using oral-fluid samples for determining the prevalence of immunity to vaccine-preventable infections. METHODS: Paired blood and oral-fluid samples were obtained from 853 individuals of all ages from a rural Ethiopian community. Oral fluid around the gums was screened for measles- and rubella-specific antibodies using enhanced IgG antibody capture (GAC) enzyme-linked immunosorbent assays (ELISAs), and for anti-HBc antibodies using a prototype GACELISA. IgG antibodies in serum to measles, rubella and HBc were determined using commercial ELISAs. FINDINGS: Relative to serum, oral fluid assay sensitivity and specificity were as follows: 98% and 87% for measles, 79% and 90% for rubella, and 43% and 87% for anti-HBc. These assay characteristics yielded population prevalence estimates from oral fluid with a precision equal to that of serum for measles (all ages) and rubella (ages < 20 years). CONCLUSION: Our results suggest that oral fluid could have the potential to replace serum in IgG antibody prevalence surveys. Further progress requires assessment of variation in assay performance between populations as well as the availability of standardized, easy to use assays. [ABSTRACT FROM AUTHOR]
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- 2001
29. Local patterns of spread of influenza A H3N2 virus in coastal Kenya over a 1-year period revealed through virus sequence data.
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Owuor DC, Ngoi JM, Nyasimi FM, Murunga N, Nyiro JU, Chaves SS, Nokes DJ, and Agoti CN
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- Kenya epidemiology, Humans, Genome, Viral, Influenza, Human epidemiology, Influenza, Human virology, Influenza A Virus, H3N2 Subtype genetics, Influenza A Virus, H3N2 Subtype isolation & purification, Phylogeny
- Abstract
The patterns of spread of influenza A viruses in local populations in tropical and sub-tropical regions are unclear due to sparsity of representative spatiotemporal sequence data. We sequenced and analyzed 58 influenza A(H3N2) virus genomes sampled between December 2015 and December 2016 from nine health facilities within the Kilifi Health and Demographic Surveillance System (KHDSS), a predominantly rural region, covering approximately 891 km
2 along the Kenyan coastline. The genomes were compared with 1571 contemporaneous global sequences from 75 countries. We observed at least five independent introductions of A(H3N2) viruses into the region during the one-year period, with the importations originating from Africa, Europe, and North America. We also inferred 23 virus location transition events between the nine facilities included in the study. International virus imports into the study area were captured at the facilities of Chasimba, Matsangoni, Mtondia, and Mavueni, while all four exports from the region were captured from the Chasimba facility, all occurring to Africa destinations. A strong spatial clustering of virus strains at all locations was observed associated with local evolution. Our study shows that influenza A(H3N2) virus epidemics in local populations appear to be characterized by limited introductions followed by significant local spread and evolution. Knowledge of the viral lineages that circulate within specific populations in understudied tropical and subtropical regions is required to understand the full diversity and global ecology of influenza viruses and to inform vaccination strategies within these populations., (© 2024. The Author(s).)- Published
- 2024
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30. Spatio-temporal distribution of rhinovirus types in Kenya: a retrospective analysis, 2014.
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Morobe JM, Kamau E, Luka MM, Murunga N, Lewa C, Mutunga M, Bigogo G, Otieno N, Nyawanda B, Onyango C, Nokes DJ, Agoti CN, and Munywoki PK
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- Kenya epidemiology, Humans, Retrospective Studies, Respiratory Tract Infections virology, Respiratory Tract Infections epidemiology, Genetic Variation, Male, Female, Rhinovirus genetics, Rhinovirus classification, Rhinovirus isolation & purification, Phylogeny, Spatio-Temporal Analysis, Picornaviridae Infections epidemiology, Picornaviridae Infections virology
- Abstract
The epidemiology and circulation patterns of various rhinovirus types within populations remains under-explored. We generated 803 VP4/VP2 gene sequences from rhinovirus-positive samples collected from acute respiratory illness (ARI) patients, including both in-patient and outpatient cases, between 1st January and 31st December 2014 from eleven surveillance sites across Kenya and used phylogenetics to characterise virus introductions and spread. RVs were detected throughout the year, with the highest detection rates observed from January to March and June to July. We detected a total of 114 of the 169 currently classified types. Our analysis revealed numerous virus introductions into Kenya characterized by local expansion and extinction, and extensive spatial mixing of types within the country due to the widespread transmission of the virus after an introduction. This work demonstrates that in a single year, the circulation of rhinovirus in Kenya was characterized by substantial genetic diversity, multiple introductions, and extensive geographical spread., (© 2024. The Author(s).)
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- 2024
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31. The cost of care for children hospitalized with respiratory syncytial virus (RSV) associated lower respiratory infection in Kenya.
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Nyiro JU, Nyawanda BO, Mutunga M, Murunga N, Nokes DJ, Bigogo G, Otieno NA, Lidechi S, Mazoya B, Jit M, Cohen C, Moyes J, Pecenka C, Baral R, Onyango C, Munywoki PK, and Vodicka E
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- Humans, Kenya epidemiology, Child, Preschool, Infant, Female, Male, Health Care Costs statistics & numerical data, Cost of Illness, Surveys and Questionnaires, Respiratory Syncytial Virus, Human, Health Expenditures statistics & numerical data, Infant, Newborn, Respiratory Syncytial Virus Infections economics, Respiratory Syncytial Virus Infections epidemiology, Respiratory Syncytial Virus Infections therapy, Hospitalization economics, Hospitalization statistics & numerical data, Respiratory Tract Infections economics, Respiratory Tract Infections therapy, Respiratory Tract Infections virology
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Background: Respiratory syncytial virus (RSV) is one of the main causes of hospitalization for lower respiratory tract infection in children under five years of age globally. Maternal vaccines and monoclonal antibodies for RSV prevention among infants are approved for use in high income countries. However, data are limited on the economic burden of RSV disease from low- and middle-income countries (LMIC) to inform decision making on prioritization and introduction of such interventions. This study aimed to estimate household and health system costs associated with childhood RSV in Kenya., Methods: A structured questionnaire was administered to caregivers of children aged < 5 years admitted to referral hospitals in Kilifi (coastal Kenya) and Siaya (western Kenya) with symptoms of acute lower respiratory tract infection (LRTI) during the 2019-2021 RSV seasons. These children had been enrolled in ongoing in-patient surveillance for respiratory viruses. Household expenditures on direct and indirect medical costs were collected 10 days prior to, during, and two weeks post hospitalization. Aggregated health system costs were acquired from the hospital administration and were included to calculate the cost per episode of hospitalized RSV illness., Results: We enrolled a total of 241 and 184 participants from Kilifi and Siaya hospitals, respectively. Out of these, 79 (32.9%) in Kilifi and 21(11.4%) in Siaya, tested positive for RSV infection. The total (health system and household) mean costs per episode of severe RSV illness was USD 329 (95% confidence interval (95% CI): 251-408 ) in Kilifi and USD 527 (95% CI: 405- 649) in Siaya. Household costs were USD 67 (95% CI: 54-80) and USD 172 (95% CI: 131- 214) in Kilifi and Siaya, respectively. Mean direct medical costs to the household during hospitalization were USD 11 (95% CI: 10-12) and USD 67 (95% CI: 51-83) among Kilifi and Siaya participants, respectively. Observed costs were lower in Kilifi due to differences in healthcare administration., Conclusions: RSV-associated disease among young children leads to a substantial economic burden to both families and the health system in Kenya. This burden may differ between Counties in Kenya and similar multi-site studies are advised to support cost-effectiveness analyses., (© 2024. The Author(s).)
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- 2024
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32. Phylogeography and reassortment patterns of human influenza A viruses in sub-Saharan Africa.
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Owuor DC, de Laurent ZR, Oketch JW, Murunga N, Otieno JR, Nabakooza G, Chaves SS, Nokes DJ, and Agoti CN
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- Humans, Africa South of the Sahara epidemiology, Genome, Viral, Phylogeography, Influenza, Human epidemiology, Influenza, Human virology, Influenza A virus genetics, Reassortant Viruses genetics, Phylogeny
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The role of sub-Saharan Africa in the global spread of influenza viruses remains unclear due to insufficient spatiotemporal sequence data. Here, we analyzed 222 codon-complete sequences of influenza A viruses (IAVs) sampled between 2011 and 2013 from five countries across sub-Saharan Africa (Kenya, Zambia, Mali, Gambia, and South Africa); these genomes were compared with 1209 contemporaneous global genomes using phylogeographical approaches. The spread of influenza in sub-Saharan Africa was characterized by (i) multiple introductions of IAVs into the region over consecutive influenza seasons, with viral importations originating from multiple global geographical regions, some of which persisted in circulation as intra-subtype reassortants for multiple seasons, (ii) virus transfer between sub-Saharan African countries, and (iii) virus export from sub-Saharan Africa to other geographical regions. Despite sparse data from influenza surveillance in sub-Saharan Africa, our findings support the notion that influenza viruses persist as temporally structured migrating metapopulations in which new virus strains can emerge in any geographical region, including in sub-Saharan Africa; these lineages may have been capable of dissemination to other continents through a globally migrating virus population. Further knowledge of the viral lineages that circulate within understudied sub-Saharan Africa regions is required to inform vaccination strategies in those regions., (© 2024. The Author(s).)
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- 2024
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33. Changes in the global hospitalisation burden of respiratory syncytial virus in young children during the COVID-19 pandemic: a systematic analysis.
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Cong B, Koç U, Bandeira T, Bassat Q, Bont L, Chakhunashvili G, Cohen C, Desnoyers C, Hammitt LL, Heikkinen T, Huang QS, Markić J, Mira-Iglesias A, Moyes J, Nokes DJ, Ploin D, Seo E, Singleton R, Wolter N, Fu Yung C, Zar HJ, Feikin DR, Sparrow EG, Nair H, and Li Y
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- Humans, Child, Preschool, Infant, Respiratory Syncytial Virus, Human, Infant, Newborn, Pandemics, Male, COVID-19 epidemiology, Respiratory Syncytial Virus Infections epidemiology, Hospitalization statistics & numerical data, SARS-CoV-2, Global Health
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Background: The COVID-19 pandemic is reported to have affected the epidemiology of respiratory syncytial virus (RSV), which could have important implications for RSV prevention and control strategies. We aimed to assess the hospitalisation burden of RSV-associated acute lower respiratory infection (ALRI) in children younger than 5 years during the pandemic period and the possible changes in RSV epidemiology from a global perspective., Methods: We conducted a systematic literature search for studies published between Jan 1, 2020, and June 30, 2022, in MEDLINE, Embase, Global Health, Web of Science, the WHO COVID-19 Research Database, CINAHL, LILACS, OpenGrey, CNKI, WanFang, and CqVip. We included unpublished data on RSV epidemiology shared by international collaborators. Eligible studies reported data on at least one of the following measures for children (aged <5 years) hospitalised with RSV-associated ALRI: hospital admission rates, in-hospital case fatality ratio, and the proportion of hospitalised children requiring supplemental oxygen or requiring mechanical ventilation or admission to intensive care. We used a generalised linear mixed-effects model for data synthesis to measure the changes in the incidence, age distribution, and disease severity of children hospitalised with RSV-associated ALRI during the pandemic, compared with the year 2019., Findings: We included 61 studies from 19 countries, of which 14 (23%) studies were from the published literature (4052 identified records) and 47 (77%) were from unpublished datasets. Most (51 [84%]) studies were from high-income countries; nine (15%) were from upper-middle-income countries, one (2%) was from a lower-middle-income country (Kenya), and none were from a low-income country. 15 studies contributed to the estimates of hospitalisation rate and 57 studies contributed to the severity analyses. Compared with 2019, the rates of RSV-associated ALRI hospitalisation in all children (aged 0-60 months) in 2020 decreased by 79·7% (325 000 cases vs 66 000 cases) in high-income countries, 13·8% (581 000 cases vs 501 000 cases) in upper-middle-income countries, and 42·3% (1 378 000 cases vs 795 000 cases) in Kenya. In high-income countries, annualised rates started to rise in 2021, and by March, 2022, had returned to a level similar to 2019 (6·0 cases per 1000 children [95% uncertainty interval 5·4-6·8] in April, 2021, to March, 2022, vs 5·0 cases per 1000 children [3·6-6·8] in 2019). By contrast, in middle-income countries, rates remained lower in the latest period with data available than in 2019 (for upper-middle-income countries, 2·1 cases [0·7-6·1] in April, 2021, to March, 2022, vs 3·4 [1·2-9·7] in 2019; for Kenya, 2·2 cases [1·8-2·7] in 2021 vs 4·1 [3·5-4·7] in 2019). Across all time periods and income regions, hospitalisation rates peaked in younger infants (aged 0 to <3 months) and decreased with increasing age. A significantly higher proportion of children aged 12-24 months were hospitalised with RSV-associated ALRI in high-income and upper-middle-income countries during the pandemic years than in 2019, with odds ratios ranging from 1·30 (95% uncertainty interval 1·07-1·59) to 2·05 (1·66-2·54). No consistent changes in disease severity were observed., Interpretation: The hospitalisation burden of RSV-associated ALRI in children younger than 5 years was significantly reduced during the first year of the COVID-19 pandemic. The rebound in hospitalisation rates to pre-pandemic rates observed in the high-income region but not in the middle-income region by March, 2022, suggests a persistent negative impact of the pandemic on health-care systems and health-care access in the middle-income region. RSV surveillance needs to be established (or re-established) to monitor changes in RSV epidemiology, particularly in low-income and lower-middle-income countries., Funding: EU Innovative Medicines Initiative Preparing for RSV Immunisation and Surveillance in Europe (PROMISE), Bill & Melinda Gates Foundation, and WHO., Competing Interests: Declaration of interests UK is a current employee of Pfizer but took part in this project as a postgraduate student at the University of Edinburgh. NW has received grant funding from the Bill & Melinda Gates Foundation, Sanofi, and US Centers for Disease Control and Prevention. CFY reports grants from the National Medical Research Council Singapore and the Wellcome Trust, and fees from Sanofi, Pfizer, and Takeda, outside of the submitted work. HN reports grants from the Innovative Medicines Initiative related to the submitted work, and grants from WHO, the National Institute for Health Research, Pfizer, and Icosavax, and personal fees from the Bill & Melinda Gates Foundation, Pfizer, ReViral, GlaxoSmithKline, Merck, Icosavax, Sanofi, Novavax, and AbbVie, outside of the submitted work. YL reports grants from WHO, the Wellcome Trust, and GlaxoSmithKline, and personal fees from Pfizer, outside of the submitted work. All other authors declare no competing interests., (© 2024 World Health Organization. Published by Elsevier Ltd. All rights reserved. This is an Open Access article published under the CC BY 3.0 IGO license which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. In any use of this article, there should be no suggestion that WHO endorses any specific organisation, products or services. The use of the WHO logo is not permitted. This notice should be preserved along with the article's original URL.)
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- 2024
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34. Temporal changes in the positivity rate of common enteric viruses among paediatric admissions in coastal Kenya, during the COVID-19 pandemic, 2019-2022.
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Lambisia AW, Murunga N, Mutunga M, Cheruiyot R, Maina G, Makori TO, Nokes DJ, and Agoti CN
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Background: The non-pharmaceutical interventions (NPIs) implemented to curb the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) early in the coronavirus disease 2019 (COVID-19) pandemic, substantially disrupted the activity of other respiratory viruses. However, there is limited data from low-and-middle income countries (LMICs) to determine whether these NPIs also impacted the transmission of common enteric viruses. Here, we investigated the changes in the positivity rate of five enteric viruses among hospitalised children who presented with diarrhoea to a referral hospital in coastal Kenya, during COVID-19 pandemic period., Methods: A total of 870 stool samples from children under 13 years of age admitted to Kilifi County Hospital between January 2019, and December 2022 were screened for rotavirus group A (RVA), norovirus genogroup II (GII), astrovirus, sapovirus, and adenovirus type F40/41 using real-time reverse-transcription polymerase chain reaction. The proportions positive across the four years were compared using the chi-squared test statistic., Results: One or more of the five virus targets were detected in 282 (32.4%) cases. A reduction in the positivity rate of RVA cases was observed from 2019 (12.1%, 95% confidence interval (CI) 8.7-16.2%) to 2020 (1.7%, 95% CI 0.2-6.0%; p < 0.001). However, in the 2022, RVA positivity rate rebounded to 23.5% (95% CI 18.2%-29.4%). For norovirus GII, the positivity rate fluctuated over the four years with its highest positivity rate observed in 2020 (16.2%; 95% C.I, 10.0-24.1%). No astrovirus cases were detected in 2020 and 2021, but the positivity rate in 2022 was similar to that in 2019 (3.1% (95% CI 1.5%-5.7%) vs. 3.3% (95% CI 1.4-6.5%)). A higher case fatality rate was observed in 2021 (9.0%) compared to the 2019 (3.2%), 2020 (6.8%) and 2022 (2.1%) (p < 0.001)., Conclusion: Our study finds that in 2020 the transmission of common enteric viruses, especially RVA and astrovirus, in Kilifi Kenya may have been disrupted due to the COVID-19 NPIs. After 2020, local enteric virus transmission patterns appeared to return to pre-pandemic levels coinciding with the removal of most of the government COVID-19 NPIs., (© 2023. The Author(s).)
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- 2024
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35. Genetic and potential antigenic evolution of influenza A(H1N1)pdm09 viruses circulating in Kenya during 2009-2018 influenza seasons.
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Owuor DC, de Laurent ZR, Nyawanda BO, Emukule GO, Kondor R, Barnes JR, Nokes DJ, Agoti CN, and Chaves SS
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- Child, Humans, Phylogeny, Kenya epidemiology, Seasons, Hemagglutinin Glycoproteins, Influenza Virus genetics, Influenza, Human epidemiology, Influenza A Virus, H1N1 Subtype, Influenza Vaccines genetics
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Influenza viruses undergo rapid evolutionary changes, which requires continuous surveillance to monitor for genetic and potential antigenic changes in circulating viruses that can guide control and prevention decision making. We sequenced and phylogenetically analyzed A(H1N1)pdm09 virus genome sequences obtained from specimens collected from hospitalized patients of all ages with or without pneumonia between 2009 and 2018 from seven sentinel surveillance sites across Kenya. We compared these sequences with recommended vaccine strains during the study period to infer genetic and potential antigenic changes in circulating viruses and associations of clinical outcome. We generated and analyzed a total of 383 A(H1N1)pdm09 virus genome sequences. Phylogenetic analyses of HA protein revealed that multiple genetic groups (clades, subclades, and subgroups) of A(H1N1)pdm09 virus circulated in Kenya over the study period; these evolved away from their vaccine strain, forming clades 7 and 6, subclades 6C, 6B, and 6B.1, and subgroups 6B.1A and 6B.1A1 through acquisition of additional substitutions. Several amino acid substitutions among circulating viruses were associated with continued evolution of the viruses, especially in antigenic epitopes and receptor binding sites (RBS) of circulating viruses. Disease severity declined with an increase in age among children aged < 5 years. Our study highlights the necessity of timely genomic surveillance to monitor the evolutionary changes of influenza viruses. Routine influenza surveillance with broad geographic representation and whole genome sequencing capacity to inform on prioritization of antigenic analysis and the severity of circulating strains are critical to improved selection of influenza strains for inclusion in vaccines., (© 2023. The Author(s).)
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- 2023
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36. New SARS-CoV-2 Omicron Variant with Spike Protein Mutation Y451H, Kilifi, Kenya, March-May 2023.
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Mwanga MJ, Lambisia AW, Morobe JM, Murunga N, Moraa E, Ndwiga L, Cheruiyot R, Musyoki J, Mutunga M, Guzman-Rincon LM, Sande C, Mwangangi J, Bejon P, Ochola-Oyier LI, Nokes DJ, Agoti CN, Nyiro J, and Githinji G
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- Humans, Kenya epidemiology, SARS-CoV-2 genetics, Spike Glycoprotein, Coronavirus genetics, Mutation, COVID-19 epidemiology
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We report a newly emerged SARS-CoV-2 Omicron subvariant FY.4 that has mutations Y451H in spike and P42L in open reading frame 3a proteins. FY.4 emergence coincided with increased SARS-CoV-2 cases in coastal Kenya during April-May 2023. Continued SARS-CoV-2 genomic surveillance is needed to identify new lineages to inform COVID-19 outbreak prevention.
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- 2023
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37. Symptom prevalence and secondary attack rate of SARS-CoV-2 in rural Kenyan households: A prospective cohort study.
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Gallagher KE, Nyiro J, Agoti CN, Maitha E, Nyagwange J, Karani A, Bottomley C, Murunga N, Githinji G, Mutunga M, Ochola-Oyier LI, Kombe I, Nyaguara A, Kagucia EW, Warimwe G, Agweyu A, Tsofa B, Bejon P, Scott JAG, and Nokes DJ
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- Humans, Incidence, Kenya epidemiology, Prospective Studies, Prevalence, SARS-CoV-2, COVID-19 diagnosis, COVID-19 epidemiology, Spike Glycoprotein, Coronavirus
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Background: We estimated the secondary attack rate of SARS-CoV-2 among household contacts of PCR-confirmed cases of COVID-19 in rural Kenya and analysed risk factors for transmission., Methods: We enrolled incident PCR-confirmed cases and their household members. At baseline, a questionnaire, a blood sample, and naso-oropharyngeal swabs were collected. Household members were followed 4, 7, 10, 14, 21 and 28 days after the date of the first PCR-positive in the household; naso-oropharyngeal swabs were collected at each visit and used to define secondary cases. Blood samples were collected every 1-2 weeks. Symptoms were collected in a daily symptom diary. We used binomial regression to estimate secondary attack rates and survival analysis to analyse risk factors for transmission., Results: A total of 119 households with at least one positive household member were enrolled between October 2020 and September 2022, comprising 503 household members; 226 remained in follow-up at day 14 (45%). A total of 43 secondary cases arose within 14 days of identification of the primary case, and 81 household members remained negative. The 7-day secondary attack rate was 4% (95% CI 1%-10%), the 14-day secondary attack rate was 28% (95% CI 17%-40%). Of 38 secondary cases with data, eight reported symptoms (21%, 95% CI 8%-34%). Antibody to SARS-CoV-2 spike protein at enrolment was not associated with risk of becoming a secondary case., Conclusion: Households in our setting experienced a lower 7-day attack rate than a recent meta-analysis indicated as the global average (23%-43% depending on variant), and infection is mostly asymptomatic in our setting., (© 2023 The Authors. Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd.)
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- 2023
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38. The role of vaccination and public awareness in forecasts of Mpox incidence in the United Kingdom.
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Brand SPC, Cavallaro M, Cumming F, Turner C, Florence I, Blomquist P, Hilton J, Guzman-Rincon LM, House T, Nokes DJ, and Keeling MJ
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- Male, Humans, Homosexuality, Male, Incidence, United Kingdom epidemiology, Vaccination, Mpox (monkeypox), Sexual and Gender Minorities
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Beginning in May 2022, Mpox virus spread rapidly in high-income countries through close human-to-human contact primarily amongst communities of gay, bisexual and men who have sex with men (GBMSM). Behavioural change arising from increased knowledge and health warnings may have reduced the rate of transmission and modified Vaccinia-based vaccination is likely to be an effective longer-term intervention. We investigate the UK epidemic presenting 26-week projections using a stochastic discrete-population transmission model which includes GBMSM status, rate of formation of new sexual partnerships, and clique partitioning of the population. The Mpox cases peaked in mid-July; our analysis is that the decline was due to decreased transmission rate per infected individual and infection-induced immunity among GBMSM, especially those with the highest rate of new partners. Vaccination did not cause Mpox incidence to turn over, however, we predict that a rebound in cases due to behaviour reversion was prevented by high-risk group-targeted vaccination., (© 2023. The Author(s).)
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- 2023
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39. Genomic epidemiology of the rotavirus G2P[4] strains in coastal Kenya pre- and post-rotavirus vaccine introduction, 2012-8.
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Makori TO, Bargul JL, Lambisia AW, Mwanga MJ, Murunga N, de Laurent ZR, Lewa CS, Mutunga M, Kellam P, Cotten M, Nokes DJ, Phan M, and Agoti CN
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The introduction of rotavirus vaccines into the national immunization programme in many countries has led to a decline in childhood diarrhoea disease burden. Coincidentally, the incidence of some rotavirus group A (RVA) genotypes has increased, which may result from non-vaccine-type replacement. Here, we investigate the evolutionary genomics of rotavirus G2P[4] which has shown an increase in countries that introduced the monovalent Rotarix® vaccine. We examined sixty-three RVA G2P[4] strains sampled from children (aged below 13 years) admitted to Kilifi County Hospital, coastal Kenya, pre- (2012 to June 2014) and post-(July 2014 to 2018) rotavirus vaccine introduction. All the sixty-three genome sequences showed a typical DS-1-like genome constellation (G2-P[4]-I2-R2-C2-M2-A2-N2-T2-E2-H2). Pre-vaccine G2 sequences predominantly classified as sub-lineage IVa-3 and co-circulated with low numbers of sub-lineage IVa-1 strains, whereas post-vaccine G2 sequences mainly classified into sub-lineage IVa-3. In addition, in the pre-vaccine period, P[4] sub-lineage IVa strains co-circulated with low numbers of P[4] lineage II strains, but P[4] sub-lineage IVa strains predominated in the post-vaccine period. On the global phylogeny, the Kenyan pre- and post-vaccine G2P[4] strains clustered separately, suggesting that different virus populations circulated in the two periods. However, the strains from both periods exhibited conserved amino acid changes in the known antigenic epitopes, suggesting that replacement of the predominant G2P[4] cluster was unlikely a result of immune escape. Our findings demonstrate that the pre- and post-vaccine G2P[4] strains circulating in Kilifi, coastal Kenya, differed genetically but likely were antigenically similar. This information informs the discussion on the consequences of rotavirus vaccination on rotavirus diversity., Competing Interests: None declared., (© The Author(s) 2023. Published by Oxford University Press.)
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- 2023
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40. Phylogenomic analysis uncovers a 9-year variation of Uganda influenza type-A strains from the WHO-recommended vaccines and other Africa strains.
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Nabakooza G, Owuor DC, de Laurent ZR, Galiwango R, Owor N, Kayiwa JT, Jjingo D, Agoti CN, Nokes DJ, Kateete DP, Kitayimbwa JM, Frost SDW, and Lutwama JJ
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- Humans, Hemagglutinins, Influenza A Virus, H3N2 Subtype, Uganda epidemiology, Phylogeny, Hemagglutinin Glycoproteins, Influenza Virus genetics, World Health Organization, Influenza, Human epidemiology, Influenza, Human prevention & control, Influenza A Virus, H1N1 Subtype genetics, Influenza A virus, Influenza Vaccines genetics
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Genetic characterisation of circulating influenza viruses directs annual vaccine strain selection and mitigation of infection spread. We used next-generation sequencing to locally generate whole genomes from 116 A(H1N1)pdm09 and 118 A(H3N2) positive patient swabs collected across Uganda between 2010 and 2018. We recovered sequences from 92% (215/234) of the swabs, 90% (193/215) of which were whole genomes. The newly-generated sequences were genetically and phylogenetically compared to the WHO-recommended vaccines and other Africa strains sampled since 1994. Uganda strain hemagglutinin (n = 206), neuraminidase (n = 207), and matrix protein (MP, n = 213) sequences had 95.23-99.65%, 95.31-99.79%, and 95.46-100% amino acid similarity to the 2010-2020 season vaccines, respectively, with several mutated hemagglutinin antigenic, receptor binding, and N-linked glycosylation sites. Uganda influenza type-A virus strains sequenced before 2016 clustered uniquely while later strains mixed with other Africa and global strains. We are the first to report novel A(H1N1)pdm09 subclades 6B.1A.3, 6B.1A.5(a,b), and 6B.1A.6 (± T120A) that circulated in Eastern, Western, and Southern Africa in 2017-2019. Africa forms part of the global influenza ecology with high viral genetic diversity, progressive antigenic drift, and local transmissions. For a continent with inadequate health resources and where social distancing is unsustainable, vaccination is the best option. Hence, African stakeholders should prioritise routine genome sequencing and analysis to direct vaccine selection and virus control., (© 2023. The Author(s).)
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- 2023
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41. Assessment of gestational age at antenatal care visits among Kenyan women to inform delivery of a maternal respiratory syncytial virus (RSV) vaccine in low- and middle-income countries.
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Nyiro JU, Nyawanda BO, Bukusi E, Mureithi MW, Murunga N, Nokes DJ, Bigogo G, Otieno NA, Opere VA, Ouma A, Pecenka C, and Munywoki PK
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Background: Maternal respiratory syncytial virus (RSV) vaccines that are likely to be implementable in low- and middle-income countries (LMICs) are in final stages of clinical trials. Data on the number of women presenting for antenatal care (ANC) per day and proportion attending within the proposed gestational window for vaccine delivery, is a prerequisite to guide development of vaccine vial size and inform vaccine uptake in this setting. Methods: We undertook administrative review and abstraction of ANC attendance records from 2019 registers of 24 selected health facilities, stratified by the level of care, from Kilifi, Siaya and Nairobi counties in Kenya. Additional data were obtained from Mother and Child Health (MCH) booklets of women in each of the Health and Demographic Surveillance System (HDSS) areas of Kilifi, Nairobi and Siaya. Data analysis involved descriptive summaries of the number (mean, median) and proportion of women attending ANC within the gestational window period of 28-32 weeks and 24-36 weeks. Results: A total of 62,153 ANC records were abstracted, 33,872 from Kilifi, 19,438 from Siaya and 8,943 from Nairobi Counties. The median (Interquartile range, IQR) number of women attending ANC per day at a gestational age window of 28-32 and 24-36 weeks, respectively, were: 4 (2-6) and 7 (4-12) in dispensaries, 5 (2-9) and 10 (4-19) in health centres and 6 (4-11) and 16 (10-26) in county referral hospitals. In the HDSS areas of Kilifi, Siaya and Nairobi, pregnant women attending at least one ANC visit, within a window of 28-32 weeks, were: 77% (360/470), 75% (590/791) and 67% (547/821), respectively. Conclusions: About 70% of pregnant women across three distinct geographical regions in Kenya, attend ANC within 28-32 weeks of gestation. A multidose vial size with about five doses per vial, approximates daily ANC attendance and would not incur possible wastage in similar settings., Competing Interests: Competing interests: Joyce Nyiro was supported by Pfizer Independent Research Grant, but the funder had no role in the study design, data analysis and writing up of this manuscript. No other competing interests were disclosed., (Copyright: © 2023 Nyiro JU et al.)
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- 2023
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42. Estimates of the national burden of respiratory syncytial virus in Kenyan children aged under 5 years, 2010-2018.
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Nyawanda BO, Murunga N, Otieno NA, Bigogo G, Nyiro JU, Vodicka E, Bulterys M, Nokes DJ, Munywoki PK, and Emukule GO
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- Child, Humans, Infant, Kenya epidemiology, Hospitalization, Population Surveillance, Respiratory Syncytial Virus, Human, Respiratory Syncytial Virus Infections epidemiology, Respiratory Tract Infections epidemiology
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Background: Respiratory syncytial virus (RSV) is among the leading childhood causes of viral pneumonia worldwide. Establishing RSV-associated morbidity and mortality is important in informing the development, delivery strategies, and evaluation of interventions., Methods: Using data collected during 2010-2018 from base regions (population-based surveillance studies in western Kenya and the Kilifi Health and Demographic Surveillance Study), we estimated age-specific rates of acute respiratory illness (ARI), severe acute respiratory illness (SARI-defined as hospitalization with cough or difficulty breathing with onset within the past 10 days), and SARI-associated deaths. We extrapolated the rates from the base regions to other regions of Kenya, while adjusting for risk factors of ARI and healthcare seeking behavior, and finally applied the proportions of RSV-positive cases identified from various sentinel and study facilities to the rates to obtain regional age-specific rates of RSV-associated outpatient and non-medically attended ARI and hospitalized SARI and severe ARI that was not hospitalized (non-hospitalized SARI). We applied age-specific RSV case fatality ratios to SARI to obtain estimates of RSV-associated in- and out-of-hospital deaths., Results: Among Kenyan children aged < 5 years, the estimated annual incidence of outpatient and non-medically attended RSV-associated ARI was 206 (95% credible interval, CI; 186-229) and 226 (95% CI; 204-252) per 1000 children, respectively. The estimated annual rates of hospitalized and non-hospitalized RSV-associated SARI were 349 (95% CI; 303-404) and 1077 (95% CI; 934-1247) per 100,000 children respectively. The estimated annual number of in- and out-of-hospital deaths associated with RSV infection in Kenya were 539 (95% CI; 420-779) and 1921 (95% CI; 1495-2774), respectively. Children aged < 6 months had the highest burden of RSV-associated severe disease: 2075 (95% CI; 1818-2394) and 44 (95% CI 25-71) cases per 100,000 children for hospitalized SARI and in-hospital deaths, respectively., Conclusions: Our findings suggest a substantial disease burden due to RSV infection, particularly among younger children. Prioritizing development and use of maternal vaccines and affordable long-lasting monoclonal antibodies could help reduce this burden., (© 2023. The Author(s).)
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- 2023
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43. Estimating the cost-effectiveness of maternal vaccination and monoclonal antibodies for respiratory syncytial virus in Kenya and South Africa.
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Koltai M, Moyes J, Nyawanda B, Nyiro J, Munywoki PK, Tempia S, Li X, Antillon M, Bilcke J, Flasche S, Beutels P, Nokes DJ, Cohen C, and Jit M
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- Infant, Female, Child, Humans, Pregnancy, Child, Preschool, Cost-Benefit Analysis, Antibodies, Monoclonal therapeutic use, South Africa epidemiology, Kenya epidemiology, Vaccination, Respiratory Syncytial Virus, Human, Respiratory Syncytial Virus Infections epidemiology, Respiratory Syncytial Virus Infections prevention & control
- Abstract
Background: Respiratory syncytial virus (RSV) causes a substantial burden of acute lower respiratory infection in children under 5 years, particularly in low- and middle-income countries (LMICs). Maternal vaccine (MV) and next-generation monoclonal antibody (mAb) candidates have been shown to reduce RSV disease in infants in phase 3 clinical trials. The cost-effectiveness of these biologics has been estimated using disease burden data from global meta-analyses, but these are sensitive to the detailed age breakdown of paediatric RSV disease, for which there have previously been limited data., Methods: We use original hospital-based incidence data from South Africa (ZAF) and Kenya (KEN) collected between 2010 and 2018 of RSV-associated acute respiratory infection (ARI), influenza-like illness (ILI), and severe acute respiratory infection (SARI) as well as deaths with monthly age-stratification, supplemented with data on healthcare-seeking behaviour and costs to the healthcare system and households. We estimated the incremental cost per DALY averted (incremental cost-effectiveness ratio or ICER) of public health interventions by MV or mAb for a plausible range of prices (5-50 USD for MV, 10-125 USD for mAb), using an adjusted version of a previously published health economic model of RSV immunisation., Results: Our data show higher disease incidence for infants younger than 6 months of age in the case of Kenya and South Africa than suggested by earlier projections from community incidence-based meta-analyses of LMIC data. Since MV and mAb provide protection for these youngest age groups, this leads to a substantially larger reduction of disease burden and, therefore, more favourable cost-effectiveness of both interventions in both countries. Using the latest efficacy data and inferred coverage levels based on antenatal care (ANC-3) coverage (KEN: 61.7%, ZAF: 75.2%), our median estimate of the reduction in RSV-associated deaths in children under 5 years in Kenya is 10.5% (95% CI: 7.9, 13.3) for MV and 13.5% (10.7, 16.4) for mAb, while in South Africa, it is 27.4% (21.6, 32.3) and 37.9% (32.3, 43.0), respectively. Starting from a dose price of 5 USD, in Kenya, net cost (for the healthcare system) per (undiscounted) DALY averted for MV is 179 (126, 267) USD, rising to 1512 (1166, 2070) USD at 30 USD per dose; for mAb, it is 684 (543, 895) USD at 20 USD per dose and 1496 (1203, 1934) USD at 40 USD per dose. In South Africa, a MV at 5 USD per dose would be net cost-saving for the healthcare system and net cost per DALY averted is still below the ZAF's GDP per capita at 40 USD dose price (median: 2350, 95% CI: 1720, 3346). For mAb in ZAF, net cost per DALY averted is 247 (46, 510) USD at 20 USD per dose, rising to 2028 (1565, 2638) USD at 50 USD per dose and to 6481 (5364, 7959) USD at 125 USD per dose., Conclusions: Incorporation of new data indicating the disease burden is highly concentrated in the first 6 months of life in two African settings suggests that interventions against RSV disease may be more cost-effective than previously estimated., (© 2023. The Author(s).)
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- 2023
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44. Genomic epidemiology of human adenovirus F40 and F41 in coastal Kenya: A retrospective hospital-based surveillance study (2013-2022).
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Lambisia AW, Makori TO, Mutunga M, Cheruiyot R, Murunga N, Quick J, Githinji G, Nokes DJ, Houldcroft CJ, and Agoti CN
- Abstract
Human enteric adenovirus species F (HAdV-F) is a leading cause of childhood diarrhoeal deaths. The genomic analysis would be key to understanding transmission dynamics, potential drivers of disease severity, and vaccine development. However, currently, there are limited HAdV-F genomic data globally. Here, we sequenced and analysed HAdV-F from stool samples collected in coastal Kenya between 2013 and 2022. The samples were collected at Kilifi County Hospital in coastal Kenya from children <13 years of age who reported a history of three or more loose stools in the previous 24 hours. The genomes were analysed together with the data from the rest of the world by phylogenetic analysis and mutational profiling. Types and lineages were assigned based on phylogenetic clustering consistent with the previously described criteria and nomenclature. Participant clinical and demographic data were linked to genotypic data. Of ninety-one cases identified using real-time Polymerase Chain Reaction, eighty-eight near-complete genomes were assembled, and these were classified into HAdV-F40 ( n = 41) and HAdV-F41 ( n = 47). These types co-circulated throughout the study period. Three and four distinct lineages were observed for HAdV-F40 (Lineages 1-3) and HAdV-F41 (Lineages 1, 2A, 3A, 3C, and 3D). Types F40 and F41 coinfections were observed in five samples and F41 and B7 in one sample. Two children with F40 and 41 coinfections were also infected with rotavirus and had moderate and severe diseases as defined using the Vesikari Scoring System, respectively. Intratypic recombination was found in four HAdV-F40 sequences occurring between Lineages 1 and 3. None of the HAdV-F41 cases had jaundice. This study provides evidence of extensive genetic diversity, coinfections, and recombination within HAdV-F40 in a rural coastal Kenya that will inform public health policy, vaccine development that includes the locally circulating lineages, and molecular diagnostic assay development. We recommend future comprehensive studies elucidating on HAdV-F genetic diversity and immunity for rational vaccine development., Competing Interests: None declared., (© The Author(s) 2023. Published by Oxford University Press.)
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- 2023
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45. Serum immunoglobulin G and mucosal immunoglobulin A antibodies from prepandemic samples collected in Kilifi, Kenya, neutralize SARS-CoV-2 in vitro.
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Nyagwange J, Kutima B, Mwai K, Karanja HK, Gitonga JN, Mugo D, Sein Y, Wright D, Omuoyo DO, Nyiro JU, Tuju J, Nokes DJ, Agweyu A, Bejon P, Ochola-Oyier LI, Scott JAG, Lambe T, Nduati E, Agoti C, and Warimwe GM
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- Humans, SARS-CoV-2, Kenya epidemiology, COVID-19 Serotherapy, Immunoglobulin A, Antibodies, Viral, Immunoglobulin G, COVID-19 epidemiology
- Abstract
Objectives: Many regions of Africa have experienced lower COVID-19 morbidity and mortality than Europe. Pre-existing humoral responses to endemic human coronaviruses (HCoV) may cross-protect against SARS-CoV-2. We investigated the neutralizing capacity of SARS-CoV-2 spike reactive and nonreactive immunoglobulin (Ig)G and IgA antibodies in prepandemic samples., Methods: To investigate the presence of pre-existing immunity, we performed enzyme-linked immunosorbent assay using spike antigens from reference SARS-CoV-2, HCoV HKU1, OC43, NL63, and 229E using prepandemic samples from Kilifi in coastal Kenya. In addition, we performed neutralization assays using pseudotyped reference SARS-CoV-2 to determine the functionality of the identified reactive antibodies., Results: We demonstrate the presence of HCoV serum IgG and mucosal IgA antibodies, which cross-react with the SARS-CoV-2 spike. We show pseudotyped reference SARS-CoV-2 neutralization by prepandemic serum, with a mean infective dose 50 of 1: 251, which is 10-fold less than that of the pooled convalescent sera from patients with COVID-19 but still within predicted protection levels. The prepandemic naso-oropharyngeal fluid neutralized pseudo-SARS-CoV-2 at a mean infective dose 50 of 1: 5.9 in the neutralization assay., Conclusion: Our data provide evidence for pre-existing functional humoral responses to SARS-CoV-2 in Kilifi, coastal Kenya and adds to data showing pre-existing immunity for COVID-19 from other regions., Competing Interests: Declaration of Competing Interest The authors have no competing interests to declare., (Copyright © 2022 The Author(s). Published by Elsevier Ltd.. All rights reserved.)
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- 2023
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46. Rhinovirus dynamics across different social structures.
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Luka MM, Otieno JR, Kamau E, Morobe JM, Murunga N, Adema I, Nyiro JU, Macharia PM, Bigogo G, Otieno NA, Nyawanda BO, Rabaa MA, Emukule GO, Onyango C, Munywoki PK, Agoti CN, and Nokes DJ
- Abstract
Rhinoviruses (RV), common human respiratory viruses, exhibit significant antigenic diversity, yet their dynamics across distinct social structures remain poorly understood. Our study delves into RV dynamics within Kenya by analysing VP4/2 sequences across four different social structures: households, a public primary school, outpatient clinics in the Kilifi Health and Demographics Surveillance System (HDSS), and countrywide hospital admissions and outpatients. The study revealed the greatest diversity of RV infections at the countrywide level (114 types), followed by the Kilifi HDSS (78 types), the school (47 types), and households (40 types), cumulatively representing >90% of all known RV types. Notably, RV diversity correlated directly with the size of the population under observation, and several RV type variants occasionally fuelled RV infection waves. Our findings highlight the critical role of social structures in shaping RV dynamics, information that can be leveraged to enhance public health strategies. Future research should incorporate whole-genome analysis to understand fine-scale evolution across various social structures., Competing Interests: Competing interestsThe authors declare no competing interests., (© The Author(s) 2023.)
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- 2023
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47. Drivers of respiratory syncytial virus seasonal epidemics in children under 5 years in Kilifi, coastal Kenya.
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Wambua J, Munywoki PK, Coletti P, Nyawanda BO, Murunga N, Nokes DJ, and Hens N
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- Child, Humans, Child, Preschool, Kenya epidemiology, Seasons, Hospitalization, Respiratory Syncytial Virus, Human, Epidemics
- Abstract
Respiratory syncytial virus (RSV) causes significant childhood morbidity and mortality in the developing world. The determinants of RSV seasonality are of importance in designing interventions. They are poorly understood in tropical and sub-tropical regions in low- and middle-income countries. Our study utilized long-term surveillance data on cases of RSV associated with severe or very severe pneumonia in children aged 1 day to 59 months admitted to the Kilifi County Hospital. A generalized additive model was used to investigate the association between RSV admissions and meteorological variables (maximum temperature, rainfall, absolute humidity); weekly number of births within the catchment population; and school term dates. Furthermore, a time-series-susceptible-infected-recovered (TSIR) model was used to reconstruct an empirical transmission rate which was used as a dependent variable in linear regression and generalized additive models with meteorological variables and school term dates. Maximum temperature, absolute humidity, and weekly number of births were significantly associated with RSV activity in the generalized additive model. Results from the TSIR model indicated that maximum temperature and absolute humidity were significant factors. Rainfall and school term did not yield significant relationships. Our study indicates that meteorological parameters and weekly number of births potentially play a role in the RSV seasonality in this region. More research is required to explore the underlying mechanisms underpinning the observed relationships., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2022 Wambua et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)
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- 2022
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48. Identifying the research, advocacy, policy and implementation needs for the prevention and management of respiratory syncytial virus lower respiratory tract infection in low- and middle-income countries.
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Carbonell-Estrany X, Simões EAF, Bont LJ, Gentile A, Homaira N, Scotta MC, Stein RT, Torres JP, Sheikh J, Broor S, Khuri-Bulos N, Nokes DJ, Munywoki PK, Bassat Q, Sharma AK, Basnet S, Garba M, De Jesus-Cornejo J, Lupisan SP, Nunes MC, Divarathna M, Fullarton JR, Rodgers-Gray BS, Keary I, Reñosa MDC, Verwey C, Moore DP, Noordeen F, Kabra S, do Vale MS, Paternina-De La Ossa R, Mariño C, Figueras-Aloy J, Krilov L, Berezin E, Zar HJ, Paudel K, Safadi MAP, Dbaibo G, Jroundi I, Jha R, Rafeek RAM, Pinheiro RS, Bracht M, Muthugala R, Lanari M, Martinón-Torres F, Mitchell I, Irimu G, Pandey A, Krishnan A, Mejias A, da Costa MSC, Shrestha S, Pernica JM, de Carvalho FC, Jalango RE, Ibrahim H, Ewa A, Ensinck G, Ulloa-Gutierrez R, Miralha AL, Lucion MF, Hassan MZ, Akhtar Z, Aleem MA, Chowdhury F, Rojo P, Sande C, Musau A, Zaman K, Helena L, Arlant F, Ghimire P, Price A, Subedi KU, Brenes-Chacon H, Goswami DR, Rahman MZ, Hossain ME, Chisti MJ, Vain NE, Lim A, Chiu A, Papenburg J, Juarez MDV, Senaratne T, Arunasalam S, Strand TA, Ayuk A, Ogunrinde O, Tavares LVS, Garba C, Garba BI, Dawa J, Gordon M, Osoro E, Agoti CN, Nyawanda B, Ngama M, Tabu C, Mathew JL, Cornacchia A, Rai GK, Jain A, Giongo MS, and Paes BA
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Introduction: The high burden of respiratory syncytial virus (RSV) infection in young children disproportionately occurs in low- and middle-income countries (LMICs). The PROUD (Preventing RespiratOry syncytial virUs in unDerdeveloped countries) Taskforce of 24 RSV worldwide experts assessed key needs for RSV prevention in LMICs, including vaccine and newer preventive measures., Methods: A global, survey-based study was undertaken in 2021. An online questionnaire was developed following three meetings of the Taskforce panellists wherein factors related to RSV infection, its prevention and management were identified using iterative questioning. Each factor was scored, by non-panellists interested in RSV, on a scale of zero (very-low-relevance) to 100 (very-high-relevance) within two scenarios: (1) Current and (2) Future expectations for RSV management., Results: Ninety questionnaires were completed: 70 by respondents (71.4% physicians; 27.1% researchers/scientists) from 16 LMICs and 20 from nine high-income (HI) countries (90.0% physicians; 5.0% researchers/scientists), as a reference group. Within LMICs, RSV awareness was perceived to be low, and management was not prioritised. Of the 100 factors scored, those related to improved diagnosis particularly access to affordable point-of-care diagnostics, disease burden data generation, clinical and general education, prompt access to new interventions, and engagement with policymakers/payers were identified of paramount importance. There was a strong need for clinical education and local data generation in the lowest economies, whereas upper-middle income countries were more closely aligned with HI countries in terms of current RSV service provision., Conclusion: Seven key actions for improving RSV prevention and management in LMICs are proposed., Competing Interests: The reviewer PAP declared a past co-authorship with the author(s) FMT to the handling. XCE and BP have received research funding and/or compensation as advisor/lecturer from AbbVie and AstraZeneca. JF and BRG, working for Violicom and former company, have previously received payment from AbbVie and AstraZeneca for work on various projects. MCN reports grants from the Bill & Melinda Gates Foundation, European & Developing Countries Clinical Trials Partnership, Pfizer, AstraZeneca and Sanofi-Pasteur; and personal fees from Pfizer and Sanofi-Pasteur. RTS has received fees for Advisory Board meetings and lectures for Sanofi-Pasteur, AstraZeneca, Janssen, and AbbVie. QB serves in the Independent Data Monitoring Committee (IDMC) for Respiratory Syncytial Virus (RSV) vaccine development for the protection of infants (since October 2015) (GlaxoSmithKline -GSK). JP reports grants to his institution from MedImmune, Merck, Sanofi Pasteur and AbbVie, and personal fees from AbbVie, Merck and AstraZeneca. JMP reports grants to his institution from MedImmune. HJZ has received funding for RSV-related research studies from Pfizer, AstraZeneca, Merck and the Bill & Melinda Gates Foundation. AM has received research funding from Merck and Janssen and compensation as advisor/lecturer from Sanofi-Pasteur and AstraZeneca. IM has been an investigator on studies funded by MedImmune, Regeneron, and Boehringer. MAS has received research funding from Janssen and compensation as advisor/lecturer from AbbVie, Sanofi-Pasteur and AstraZeneca. All declarations made by authors outside of the submitted work. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (© 2022 Carbonell-Estrany, Simões, Bont, Gentile, Homaira, Scotta, Stein, Torres, Sheikh, Broor, Khuri-Bulos, Nokes, Munywoki, Bassat, Sharma, Basnet, Garba, De Jesus-Cornejo, Lupisan, Nunes, Divarathna, Fullarton, Rodgers-Gray, Keary, Reñosa, Verwey, Moore, Noordeen, Kabra, do Vale, Paternina-De La Ossa, Mariño, Figueras-Aloy, Krilov, Berezin, Zar, Paudel, Safadi, Dbaibo, Jroundi, Jha, Rafeek, Pinheiro, Bracht, Muthugala, Lanari, Martinón-Torres, Mitchell, Irimu, Pandey, Krishnan, Mejias, Santos Corrêa Da Costa, Shrestha, Pernica, Cotrim de Carvalho, Jalango, Ibrahim, Ewa, Ensinck, Ulloa-Gutierrez, Miralha, Lucion, Hassan, Akhtar, Aleem, Chowdhury, Rojo, Sande, Musau, Zaman, Arlant, Ghimire, Price, Subedi, Brenes-Chacon, Goswami, Rahman, Hossain, Chisti, Vain, Lim, Chiu, Papenburg, Juarez, Senaratne, Arunasalam, Strand, Ayuk, Ogunrinde, Tavares, Garba, Garba, Dawa, Gordon, Osoro, Agoti, Nyawanda, Ngama, Tabu, Mathew, Cornacchia, Rai, Jain, Giongo and Paes.)
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- 2022
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49. The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance.
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Tegally H, San JE, Cotten M, Moir M, Tegomoh B, Mboowa G, Martin DP, Baxter C, Lambisia AW, Diallo A, Amoako DG, Diagne MM, Sisay A, Zekri AN, Gueye AS, Sangare AK, Ouedraogo AS, Sow A, Musa AO, Sesay AK, Abias AG, Elzagheid AI, Lagare A, Kemi AS, Abar AE, Johnson AA, Fowotade A, Oluwapelumi AO, Amuri AA, Juru A, Kandeil A, Mostafa A, Rebai A, Sayed A, Kazeem A, Balde A, Christoffels A, Trotter AJ, Campbell A, Keita AK, Kone A, Bouzid A, Souissi A, Agweyu A, Naguib A, Gutierrez AV, Nkeshimana A, Page AJ, Yadouleton A, Vinze A, Happi AN, Chouikha A, Iranzadeh A, Maharaj A, Batchi-Bouyou AL, Ismail A, Sylverken AA, Goba A, Femi A, Sijuwola AE, Marycelin B, Salako BL, Oderinde BS, Bolajoko B, Diarra B, Herring BL, Tsofa B, Lekana-Douki B, Mvula B, Njanpop-Lafourcade BM, Marondera BT, Khaireh BA, Kouriba B, Adu B, Pool B, McInnis B, Brook C, Williamson C, Nduwimana C, Anscombe C, Pratt CB, Scheepers C, Akoua-Koffi CG, Agoti CN, Mapanguy CM, Loucoubar C, Onwuamah CK, Ihekweazu C, Malaka CN, Peyrefitte C, Grace C, Omoruyi CE, Rafaï CD, Morang'a CM, Erameh C, Lule DB, Bridges DJ, Mukadi-Bamuleka D, Park D, Rasmussen DA, Baker D, Nokes DJ, Ssemwanga D, Tshiabuila D, Amuzu DSY, Goedhals D, Grant DS, Omuoyo DO, Maruapula D, Wanjohi DW, Foster-Nyarko E, Lusamaki EK, Simulundu E, Ong'era EM, Ngabana EN, Abworo EO, Otieno E, Shumba E, Barasa E, Ahmed EB, Ahmed EA, Lokilo E, Mukantwari E, Philomena E, Belarbi E, Simon-Loriere E, Anoh EA, Manuel E, Leendertz F, Taweh FM, Wasfi F, Abdelmoula F, Takawira FT, Derrar F, Ajogbasile FV, Treurnicht F, Onikepe F, Ntoumi F, Muyembe FM, Ragomzingba FEZ, Dratibi FA, Iyanu FA, Mbunsu GK, Thilliez G, Kay GL, Akpede GO, van Zyl GU, Awandare GA, Kpeli GS, Schubert G, Maphalala GP, Ranaivoson HC, Omunakwe HE, Onywera H, Abe H, Karray H, Nansumba H, Triki H, Kadjo HAA, Elgahzaly H, Gumbo H, Mathieu H, Kavunga-Membo H, Smeti I, Olawoye IB, Adetifa IMO, Odia I, Ben Boubaker IB, Muhammad IA, Ssewanyana I, Wurie I, Konstantinus IS, Halatoko JWA, Ayei J, Sonoo J, Makangara JC, Tamfum JM, Heraud JM, Shaffer JG, Giandhari J, Musyoki J, Nkurunziza J, Uwanibe JN, Bhiman JN, Yasuda J, Morais J, Kiconco J, Sandi JD, Huddleston J, Odoom JK, Morobe JM, Gyapong JO, Kayiwa JT, Okolie JC, Xavier JS, Gyamfi J, Wamala JF, Bonney JHK, Nyandwi J, Everatt J, Nakaseegu J, Ngoi JM, Namulondo J, Oguzie JU, Andeko JC, Lutwama JJ, Mogga JJH, O'Grady J, Siddle KJ, Victoir K, Adeyemi KT, Tumedi KA, Carvalho KS, Mohammed KS, Dellagi K, Musonda KG, Duedu KO, Fki-Berrajah L, Singh L, Kepler LM, Biscornet L, de Oliveira Martins L, Chabuka L, Olubayo L, Ojok LD, Deng LL, Ochola-Oyier LI, Tyers L, Mine M, Ramuth M, Mastouri M, ElHefnawi M, Mbanne M, Matsheka MI, Kebabonye M, Diop M, Momoh M, Lima Mendonça MDL, Venter M, Paye MF, Faye M, Nyaga MM, Mareka M, Damaris MM, Mburu MW, Mpina MG, Owusu M, Wiley MR, Tatfeng MY, Ayekaba MO, Abouelhoda M, Beloufa MA, Seadawy MG, Khalifa MK, Matobo MM, Kane M, Salou M, Mbulawa MB, Mwenda M, Allam M, Phan MVT, Abid N, Rujeni N, Abuzaid N, Ismael N, Elguindy N, Top NM, Dia N, Mabunda N, Hsiao NY, Silochi NB, Francisco NM, Saasa N, Bbosa N, Murunga N, Gumede N, Wolter N, Sitharam N, Ndodo N, Ajayi NA, Tordo N, Mbhele N, Razanajatovo NH, Iguosadolo N, Mba N, Kingsley OC, Sylvanus O, Femi O, Adewumi OM, Testimony O, Ogunsanya OA, Fakayode O, Ogah OE, Oludayo OE, Faye O, Smith-Lawrence P, Ondoa P, Combe P, Nabisubi P, Semanda P, Oluniyi PE, Arnaldo P, Quashie PK, Okokhere PO, Bejon P, Dussart P, Bester PA, Mbala PK, Kaleebu P, Abechi P, El-Shesheny R, Joseph R, Aziz RK, Essomba RG, Ayivor-Djanie R, Njouom R, Phillips RO, Gorman R, Kingsley RA, Neto Rodrigues RMDESA, Audu RA, Carr RAA, Gargouri S, Masmoudi S, Bootsma S, Sankhe S, Mohamed SI, Femi S, Mhalla S, Hosch S, Kassim SK, Metha S, Trabelsi S, Agwa SH, Mwangi SW, Doumbia S, Makiala-Mandanda S, Aryeetey S, Ahmed SS, Ahmed SM, Elhamoumi S, Moyo S, Lutucuta S, Gaseitsiwe S, Jalloh S, Andriamandimby SF, Oguntope S, Grayo S, Lekana-Douki S, Prosolek S, Ouangraoua S, van Wyk S, Schaffner SF, Kanyerezi S, Ahuka-Mundeke S, Rudder S, Pillay S, Nabadda S, Behillil S, Budiaki SL, van der Werf S, Mashe T, Mohale T, Le-Viet T, Velavan TP, Schindler T, Maponga TG, Bedford T, Anyaneji UJ, Chinedu U, Ramphal U, George UE, Enouf V, Nene V, Gorova V, Roshdy WH, Karim WA, Ampofo WK, Preiser W, Choga WT, Ahmed YA, Ramphal Y, Bediako Y, Naidoo Y, Butera Y, de Laurent ZR, Ouma AEO, von Gottberg A, Githinji G, Moeti M, Tomori O, Sabeti PC, Sall AA, Oyola SO, Tebeje YK, Tessema SK, de Oliveira T, Happi C, Lessells R, Nkengasong J, and Wilkinson E
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- Africa epidemiology, Genomics, Humans, COVID-19 epidemiology, COVID-19 virology, Epidemiological Monitoring, Pandemics, SARS-CoV-2 genetics
- Abstract
Investment in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing in Africa over the past year has led to a major increase in the number of sequences that have been generated and used to track the pandemic on the continent, a number that now exceeds 100,000 genomes. Our results show an increase in the number of African countries that are able to sequence domestically and highlight that local sequencing enables faster turnaround times and more-regular routine surveillance. Despite limitations of low testing proportions, findings from this genomic surveillance study underscore the heterogeneous nature of the pandemic and illuminate the distinct dispersal dynamics of variants of concern-particularly Alpha, Beta, Delta, and Omicron-on the continent. Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve while the continent faces many emerging and reemerging infectious disease threats. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century.
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- 2022
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50. Revealing the extent of the first wave of the COVID-19 pandemic in Kenya based on serological and PCR-test data.
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Ojal J, Brand SPC, Were V, Okiro EA, Kombe IK, Mburu C, Aziza R, Ogero M, Agweyu A, Warimwe GM, Uyoga S, Adetifa IMO, Scott JAG, Otieno E, Ochola-Oyier LI, Agoti CN, Kasera K, Amoth P, Mwangangi M, Aman R, Ng'ang'a W, Tsofa B, Bejon P, Barasa E, Keeling MJ, and Nokes DJ
- Abstract
Policymakers in Africa need robust estimates of the current and future spread of SARS-CoV-2. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya up to the end of September 2020, which encompasses the first wave of SARS-CoV-2 transmission in the country. We estimate that the first wave of the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 30-50% of residents infected. Our analysis suggests, first, that the reported low COVID-19 disease burden in Kenya cannot be explained solely by limited spread of the virus, and second, that a 30-50% attack rate was not sufficient to avoid a further wave of transmission., Competing Interests: Competing interests: DJN, VW are members of the National COVID-19 Modelling Technical Committee, for the Ministry of Health, Government of Kenya. KK, PA, MM, RA are from the Ministry of Health, Government of Kenya, and WN from the Presidential Policy & Strategy Unit, The Presidency, Government of Kenya. All other authors declare no competing interests, (Copyright: © 2022 Ojal J et al.)
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- 2022
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