13 results on '"Jelena Storozenko"'
Search Results
2. Prediction of high-grade cervical precancerous abnormalities: The role of personal factors, vaginal microflora, sexually transmitted infections, and high-risk human papillomavirus.
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Olga Plisko, Jana Zodzika, Irina Jermakova, Kristine Pcolkina, Amanda Prusakevica, Inta Liepniece-Karele, Marta Zarina, Jelena Storozenko, and Dace Rezeberga
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Medicine ,Science - Abstract
High-risk human papillomavirus infection (HR-HPV) is necessary but not the only factor needed to develop cervical cancer. It is essential to estimate cervical cancer development risk in the population of high-risk HPV-positive women and to avoid unnecessary examinations and treatment in low-risk individuals. The study aimed to identify associations between different personal factors, vaginal microflora, sexually transmitted, high-risk HPV infection, and various degrees of cervical precancerous lesions. A study was performed in 2016-2020. The study group consisted of 112 patients with abnormal cervical cytology results referred for colposcopic examination. 120 women who came for a routine gynecological check-up were included in the control group. Material from the cervix and upper vaginal fornix was taken for pH measurement, wet mount microscopy, testing the six most common high-risk HPV DNA types (16/18, 31, 33, 45, 58), HPV E6/E7 mRNA, and 7 genital infections-C. trachomatis, N. gonorrhea, T. vaginalis, M. hominis, M. genitalium, U. urealyticum, U. parvum. Results showed that women with all grades of cervical intraepithelial neoplasia (CIN) more often were smokers, had increased vaginal pH levels, and had positive HR-HPV DNA and HR HPV E6/E7 mRNA expression. Abnormal vaginal microflora, especially types associated with aerobic vaginitis, and M. hominis were significantly more often found in women with CIN2+. The presence of C.trachomatis, U. parvum, and U.urealyticum did not differ between the groups. The most important factors independently associated with CIN2+ were positive high-risk HPV E6/E7 mRNA expression (OR 59.4, 95% CI 14.84-237.51), and positive high-risk HPV DNA (OR 3.9, 95% CI 1.16-13.23). Higher education level was associated with reduced risk of CIN2+ (OR 0.2, 95% CI 0.07-0.71). In conclusion, this study reports HR-HPV DNA of the most common six types and E6/E7 mRNA positivity as the most significant factors associated with CIN2+ lesions and higher education related to lower risk of high-grade cervical lesions.
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- 2024
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3. Intriguing findings of liver fibrosis following COVID-19
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Oksana Kolesova, Ieva Vanaga, Sniedze Laivacuma, Aleksejs Derovs, Aleksandrs Kolesovs, Maija Radzina, Ardis Platkajis, Jelena Eglite, Elvira Hagina, Seda Arutjunana, Davis Simanis Putrins, Jelena Storozenko, Baiba Rozentale, and Ludmila Viksna
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Serological biomarker ,COVID-19 ,Hyaluronic acid ,Liver fibrosis index ,Consequences ,Diseases of the digestive system. Gastroenterology ,RC799-869 - Abstract
Abstract Background Studies on a new coronavirus disease (COVID-19) show the elevation of liver enzymes and liver fibrosis index (FIB-4) independently on pre-existing liver diseases. It points to increased liver fibrogenesis during acute COVID-19 with possible long-term consequences. This study aimed to assess liver fibrosis in COVID-19 patients by serum hyaluronic acid (HA) and FIB-4. Methods The study included the acute COVID-19 group (66 patients, 50% females, mean age 58.3 ± 14.6), the post-COVID group (58 patients in 3–6 months after the recovery, 47% females, mean age 41.2 ± 13.4), and a control group (17 people, 47% females, mean age 42.8 ± 11.0). Ultrasound elastography was performed in the post-COVID and control groups. Results Sixty-five percent of the acute COVID-19 group had increased FIB-4 (> 1.45), and 38% of patients had FIB-4 ≥ 3.25. After matching by demographics, 52% of acute COVID-19 and 5% of the post-COVID group had FIB-4 > 1.45, and 29% and 2% of patients had FIB-4 ≥ 3.25, respectively. Increased serum HA (≥ 75 ng/ml) was observed in 54% of the acute COVID-19 and 15% of the post-COVID group. In the acute COVID-19 group, HA positively correlated with FIB-4, AST, ALT, LDH, IL-6, and ferritin and negatively with blood oxygen saturation. In the post-COVID group, HA did not correlate with FIB-4, but it was positively associated with higher liver stiffness and ALT. Conclusion More than half of acute COVID-19 patients had increased serum HA and FIB-4 related to liver function tests, inflammatory markers, and blood oxygen saturation. It provides evidence for the induction of liver fibrosis by multiple factors during acute COVID-19. Findings also indicate possible liver fibrosis in about 5% of the post-COVID group.
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- 2021
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4. First Report on the Latvian SARS-CoV-2 Isolate Genetic Diversity
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Nikita Zrelovs, Monta Ustinova, Ivars Silamikelis, Liga Birzniece, Kaspars Megnis, Vita Rovite, Lauma Freimane, Laila Silamikele, Laura Ansone, Janis Pjalkovskis, Davids Fridmanis, Baiba Vilne, Marta Priedite, Anastasija Caica, Mikus Gavars, Dmitry Perminov, Jelena Storozenko, Oksana Savicka, Elina Dimina, Uga Dumpis, and Janis Klovins
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Latvia ,COVID-19 ,next-generation sequencing ,genetic diversity ,2019-nCoV ,HCoV-19 ,Medicine (General) ,R5-920 - Abstract
Remaining a major healthcare concern with nearly 29 million confirmed cases worldwide at the time of writing, novel severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has caused more than 920 thousand deaths since its outbreak in China, December 2019. First case of a person testing positive for SARS-CoV-2 infection within the territory of the Republic of Latvia was registered on 2nd of March 2020, 9 days prior to the pandemic declaration by WHO. Since then, more than 277,000 tests were carried out confirming a total of 1,464 cases of coronavirus disease 2019 (COVID-19) in the country as of 12th of September 2020. Rapidly reacting to the spread of the infection, an ongoing sequencing campaign was started mid-March in collaboration with the local testing laboratories, with an ultimate goal in sequencing as much local viral isolates as possible, resulting in first full-length SARS-CoV-2 isolate genome sequences from the Baltics region being made publicly available in early April. With 133 viral isolates representing ~9.1% of the total COVID-19 cases during the “first coronavirus wave” in the country (early March, 2020—mid-September, 2020) being completely sequenced as of today, here, we provide a first report on the genetic diversity of Latvian SARS-CoV-2 isolates.
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- 2021
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5. Acute transverse myelitis in a patient with HIV infection
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Inga Azina, Anastasija Sangirejeva, Tatjana Kolupajeva, Jelena Storozenko, and Baiba Rozentale
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Microbiology ,QR1-502 ,Public aspects of medicine ,RA1-1270 - Published
- 2018
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6. Tick-borne encephalitis: A 43-year summary of epidemiological and clinical data from Latvia (1973 to 2016).
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Dace Zavadska, Zane Odzelevica, Guntis Karelis, Lelde Liepina, Zane Anna Litauniece, Antra Bormane, Irina Lucenko, Jurijs Perevoscikovs, Linda Bridina, Laura Veide, Angelika Krumina, Jelena Storozenko, Wilhelm Erber, Myint Tin Tin Htar, and Heinz-Josef Schmitt
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Medicine ,Science - Abstract
BACKGROUND:The incidence of tick-borne encephalitis (TBE) varies significantly over time. To better understand the annual incidence of all TBE cases in Latvia we investigated the disease burden in the country from 1973-2016 using several available sources and case definitions. METHODS:We identified cases of TBE from an electronic database (maintained by the Centre for Disease Prevention and Control of Latvia [CDPC]) by the use of ICD-10 diagnosis codes for TBE (A84; A84.0; A84.1; A84.8; A84.9). In addition, previously unreported TBE cases were found by review of TBE diagnoses according to ICD-10 codes in four hospital databases. RESULTS:From 1973 to 2016 a total of 15,193 TBE cases were reported to the CDPC, 2,819 of which were reported from January 2007 through December 2016, additionally for this time period, 104 cases were identified via hospital survey. From all 2,923 reported cases (2007-2016), 1,973 met TBE case definition criteria and were included in the TBE study analysis. The highest average 10 year incidence was observed from 1990-1999 (27.9 cases per 100,000; range 4.6-53.0), however, the average 10-year incidence from 2007-2016 using officially adopted TBE case definition was 9.6 cases per 100,000 (range 5.8-14.6). For this 10-year time period most cases were adults (95.1%) and male (52.2%). The most common clinical form of TBE was meningitis (90.6%). A tick bite prior to TBE onset was reported in 60.6% of TBE cases and 98.2% of cases were not vaccinated against TBE. CONCLUSION:The data demonstrate that the incidence of TBE varies by about one third based on the case definition used. TBE occurs almost entirely in the unvaccinated population. Regular TBE awareness campaigns could encourage the population in Latvia to use protective measures to further control TBE in the country, either via vaccination or tick avoidance.
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- 2018
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7. Molecular epidemiology of hepatitis A outbreaks and sporadic cases, Latvia, 2017 to 2019
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Oksana Savicka, Reinis Zeltmatis, and Jelena Storozenko
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Male ,Molecular Epidemiology ,Genotype ,Epidemiology ,Public Health, Environmental and Occupational Health ,Hepatitis A ,Latvia ,Disease Outbreaks ,Sexual and Gender Minorities ,Virology ,Humans ,RNA, Viral ,Female ,Hepatitis A virus ,Homosexuality, Male ,Phylogeny - Abstract
Background Hepatitis A is an acute infection of the liver caused by hepatitis A virus (HAV). Molecular detection and typing of the HAV VP1/P2A genomic region is used for genotyping and outbreak investigations. After a large hepatitis A outbreak in Latvia in 2007–08, only sporadic cases were registered until 2017 when a rise in cases occurred. During 2017–19, 179 laboratory-confirmed hepatitis A cases were notified in Latvia. Aim To investigate the observed increase in hepatitis A cases during 2017 and to determine whether these cases were linked to one another, to risk groups, or to other outbreaks. The majority of HAV samples (69.8%) were typed. Methods The VP1/P2A genomic region of HAV was amplified and sequenced for 125 case serum samples. Information about hepatitis-related symptoms, hospitalisation, vaccination, a possible source of infection and suspected countries of origin of the virus were analysed for sequenced cases. Results Most HAV strains were subgenotype IA (n = 77), of which 41 were strains circulating among men who have sex with men (MSM) populations in Europe (VRD_521_2016 (n = 32), RIVM-HAV16–090 (n = 7) or V16–25801 (n = 2)). Forty-four cases were subgenotype IB and four cases subgenotype IIIA. However, other clusters and sporadic cases were detected with or without identifying the epidemiological link. Conclusion This work represents molecular epidemiological data of hepatitis A cases in Latvia from 2017 to 2019. Molecular typing methods allow identification of clusters for public health needs and establishing links with other outbreaks, and to compare Latvian strains with reported strains from other countries.
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- 2022
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8. Intriguing findings of liver fibrosis following COVID-19
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Jelena Eglite, Davis Simanis Putrins, Maija Radzina, Aleksejs Derovs, Seda Arutjunana, Sniedze Laivacuma, Ieva Vanaga, Oksana Kolesova, Ardis Platkajis, Jelena Storozenko, Ludmila Viksna, Elvira Hagina, Baiba Rozentale, and Aleksandrs Kolesovs
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Adult ,Liver Cirrhosis ,Male ,Serological biomarker ,Liver fibrosis index ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,Hyaluronic acid ,Liver fibrosis ,RC799-869 ,Serum Hyaluronic Acid ,Gastroenterology ,chemistry.chemical_compound ,Internal medicine ,medicine ,Humans ,Aspartate Aminotransferases ,Consequences ,Aged ,Oxygen saturation (medicine) ,biology ,medicine.diagnostic_test ,SARS-CoV-2 ,business.industry ,Research ,COVID-19 ,General Medicine ,Middle Aged ,Diseases of the digestive system. Gastroenterology ,Hepatology ,Ferritin ,chemistry ,biology.protein ,Elasticity Imaging Techniques ,Female ,Liver function tests ,business - Abstract
Background Studies on a new coronavirus disease (COVID-19) show the elevation of liver enzymes and liver fibrosis index (FIB-4) independently on pre-existing liver diseases. It points to increased liver fibrogenesis during acute COVID-19 with possible long-term consequences. This study aimed to assess liver fibrosis in COVID-19 patients by serum hyaluronic acid (HA) and FIB-4. Methods The study included the acute COVID-19 group (66 patients, 50% females, mean age 58.3 ± 14.6), the post-COVID group (58 patients in 3–6 months after the recovery, 47% females, mean age 41.2 ± 13.4), and a control group (17 people, 47% females, mean age 42.8 ± 11.0). Ultrasound elastography was performed in the post-COVID and control groups. Results Sixty-five percent of the acute COVID-19 group had increased FIB-4 (> 1.45), and 38% of patients had FIB-4 ≥ 3.25. After matching by demographics, 52% of acute COVID-19 and 5% of the post-COVID group had FIB-4 > 1.45, and 29% and 2% of patients had FIB-4 ≥ 3.25, respectively. Increased serum HA (≥ 75 ng/ml) was observed in 54% of the acute COVID-19 and 15% of the post-COVID group. In the acute COVID-19 group, HA positively correlated with FIB-4, AST, ALT, LDH, IL-6, and ferritin and negatively with blood oxygen saturation. In the post-COVID group, HA did not correlate with FIB-4, but it was positively associated with higher liver stiffness and ALT. Conclusion More than half of acute COVID-19 patients had increased serum HA and FIB-4 related to liver function tests, inflammatory markers, and blood oxygen saturation. It provides evidence for the induction of liver fibrosis by multiple factors during acute COVID-19. Findings also indicate possible liver fibrosis in about 5% of the post-COVID group.
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- 2021
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9. Clinical characteristics of COVID-19 patients in Latvia under low incidence in Spring 2020
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Baiba Rozentale, Aleksandrs Kolesovs, Oksana Kolesova, Ilze Berzina, Seda Arutjunana, Jelena Storozenko, Ieva Tolmane, Ludmila Viksna, Ieva Vanaga, and Sniedze Laivacuma
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Prothrombin time ,medicine.medical_specialty ,Creatinine ,medicine.diagnostic_test ,Troponin T ,business.industry ,Mortality rate ,Renal function ,Hematocrit ,Gastroenterology ,chemistry.chemical_compound ,Respiratory failure ,chemistry ,Internal medicine ,Erythrocyte sedimentation rate ,medicine ,business - Abstract
BackgroundCOVID-19 is a new infectious disease with severe disease course and high mortality in some groups. Blood tests on admission to the hospital can be useful for stratification of patients and timely correction. Our study investigated the clinical features of COVID-19 patients in Latvia and differences in blood tests in groups with different disease severity.MethodsThe retrospective study included 100 patients hospitalized in Riga East Clinical University Hospital in Spring 2020. The severity of the disease course was classified by the presence of pneumonia and its combination with respiratory failure. We have assessed blood cells’ count, hemoglobin, hematocrit, erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), alanine aminotransferase, lactate dehydrogenase (LDH), troponin T, electrolytes, creatinine, glomerular filtration rate (GFR), D-dimer, prothrombin time, prothrombin index, oxygen saturation, and temperature on admission to the hospital.ResultsPatients were from 18 to 99 (57±18 years, 57% males). Comorbidities were found in 74% of patients. The mild, moderate, and severe groups included 35, 44, and 16 patients, respectively. In the severe group, the mortality rate was 50%. The progression to severe COVID-19 was associated positively with temperature, ESR, CRP, creatinine, LDH, and troponin T and negatively associated with oxygen saturation, eosinophils, and GFR on admission to the hospital.ConclusionsCOVID-19 severity associates with lower renal function and a higher level of inflammation and tissue damage. Eosinophils, CRP, ESR, LDH, troponin T, creatinine, and GFR are blood indicators for monitoring patients’ condition.
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- 2020
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10. Acute transverse myelitis in a patient with HIV infection
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Baiba Rozentale, Anastasija Sangirejeva, Tatjana Kolupajeva, Jelena Storozenko, and Inga Azina
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Pediatrics ,medicine.medical_specialty ,Epidemiology ,business.industry ,Immunology ,Public Health, Environmental and Occupational Health ,Human immunodeficiency virus (HIV) ,medicine.disease_cause ,Microbiology ,QR1-502 ,Infectious Diseases ,Acute Transverse Myelitis ,Virology ,medicine ,Public aspects of medicine ,RA1-1270 ,business - Published
- 2018
11. Tick-borne encephalitis: A 43-year summary of epidemiological and clinical data from Latvia (1973 to 2016)
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Laura Veide, Zane Odzelevica, Lelde Liepina, Jelena Storozenko, J Perevoščikovs, Irina Lucenko, Guntis Karelis, Angelika Krumina, Zane Anna Litauniece, Linda Bridina, Myint Tin Tin Htar, Dace Zavadska, Wilhelm Erber, Heinz-Josef Schmitt, and Antra Bormane
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Central Nervous System ,Male ,Pediatrics ,Databases, Factual ,lcsh:Medicine ,Pathology and Laboratory Medicine ,Nervous System ,Geographical locations ,0302 clinical medicine ,Infectious Diseases of the Nervous System ,Epidemiology ,Medicine and Health Sciences ,Medicine ,Public and Occupational Health ,030212 general & internal medicine ,Booster Doses ,lcsh:Science ,Aged, 80 and over ,Vaccines ,education.field_of_study ,Multidisciplinary ,biology ,Incidence ,Incidence (epidemiology) ,Age Factors ,Tick-Borne Encephalitis ,Middle Aged ,Vaccination and Immunization ,Europe ,Infectious Diseases ,Serology ,Neurology ,Encephalitis ,Female ,Diagnosis code ,Anatomy ,Encephalitis, Tick-Borne ,Research Article ,Adult ,medicine.medical_specialty ,Infectious Disease Control ,Adolescent ,Immunology ,Population ,Tick ,03 medical and health sciences ,Sex Factors ,Humans ,European Union ,education ,Disease burden ,Aged ,Retrospective Studies ,business.industry ,lcsh:R ,Tick-borne encephalitis ,Biology and Life Sciences ,biology.organism_classification ,medicine.disease ,Latvia ,lcsh:Q ,Preventive Medicine ,People and places ,business ,030217 neurology & neurosurgery - Abstract
Background The incidence of tick-borne encephalitis (TBE) varies significantly over time. To better understand the annual incidence of all TBE cases in Latvia we investigated the disease burden in the country from 1973–2016 using several available sources and case definitions. Methods We identified cases of TBE from an electronic database (maintained by the Centre for Disease Prevention and Control of Latvia [CDPC]) by the use of ICD-10 diagnosis codes for TBE (A84; A84.0; A84.1; A84.8; A84.9). In addition, previously unreported TBE cases were found by review of TBE diagnoses according to ICD-10 codes in four hospital databases. Results From 1973 to 2016 a total of 15,193 TBE cases were reported to the CDPC, 2,819 of which were reported from January 2007 through December 2016, additionally for this time period, 104 cases were identified via hospital survey. From all 2,923 reported cases (2007–2016), 1,973 met TBE case definition criteria and were included in the TBE study analysis. The highest average 10 year incidence was observed from 1990–1999 (27.9 cases per 100,000; range 4.6–53.0), however, the average 10-year incidence from 2007–2016 using officially adopted TBE case definition was 9.6 cases per 100,000 (range 5.8–14.6). For this 10-year time period most cases were adults (95.1%) and male (52.2%). The most common clinical form of TBE was meningitis (90.6%). A tick bite prior to TBE onset was reported in 60.6% of TBE cases and 98.2% of cases were not vaccinated against TBE. Conclusion The data demonstrate that the incidence of TBE varies by about one third based on the case definition used. TBE occurs almost entirely in the unvaccinated population. Regular TBE awareness campaigns could encourage the population in Latvia to use protective measures to further control TBE in the country, either via vaccination or tick avoidance.
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- 2018
12. Prevalence of Extended-spectrum beta-lactamase Producing Enterobacteriaceae Strains in Latvia
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Sandra Leja, Jelena Storoženko, Solvita Selderiņa, Ruta Paberza, Lilija Lužbinska, and Aija Žileviča
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Extended spectrum β-lactamases ,Resistance ,Antimicrobials ,Biotechnology ,TP248.13-248.65 ,Biology (General) ,QH301-705.5 - Abstract
A total of 507 strains of the Enterobacteriaceae family were tested for the production of ESBL using mini API, ATB Expert system as a screening method, as well as the double disk method and E-test for confirmation. The prevalence of ESBL producing E. coli is 5.95%, Klebsiella spp. strains 37.7%. All ESBL- producing isolates are susceptible to imipenem and clavulanate. The susceptibility to other antimicrobials varies from 36 to 92%.
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- 2007
13. Laboratory capability and surveillance testing for middle east respiratory syndrome coronavirus infection in the who European region, June 2013
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Pereyaslov, D., Rosin, P., Palm, D., Zeller, H., Gross, D., Brown, C. S., Struelens, M. J., Robo, A., Hatibi, I. H., Alis, J. C., Sargsyan, S., Gurbanov, S., Gribkova, N., Ranst, M., Ieven, G., Patteet, S., Tomic, S., Korsun, N., Drazenovic, V., Pieridou-Bagkatzouni, D., Jirincova, H., Havlickova, M., Fomsgaard, A., Rae, K., Lappalainen, M., Ikonen, N., Lina, B., Sylvie van der WERF, Manuguerra, J. -C, Machablishvili, A., Eickmann, M., Wolff, T., Dobler, G., Schmidt-Chanasit, J., Drosten, C., Papa, A., Mentis, A. F., Kis, Z., Löve, A., Coughlan, S., Mandelboim, M., Capobianchi, M. R., Landini, M. P., Baldanti, F., Palu, G., Ghisetti, V., Donatelli, I., Nusupbayeva, G., Tokhtabakiyeva, Z., Kasymbekova, K., Storozenko, J., Erne, S., Griskevicius, A., Opp, M., Barbara, C., Vratnica, Z., Reusken, C., Dudman, S. G., Hungnes, O., Pancer, K., Guiomar, R., Eder, V., Lupulescu, E., Yatsyshina, S., Pisareva, M., Buzitskaya, Z., Sergeev, A., Nedeljković, J., Staroňová, E., Županc, T. A., Petrovec, M., Korva, M., Prosenc, K., Casas, I., Gaines, H., Cherpillod, P., Zakirova, N., Bosevska, G., Altas, B., Ciblak, M., Mironenko, A., Dykhanovska, T., Demchyshyna, I., Bermingham, A., Rakhimov, R., Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), European Centre for Disease Prevention and Control [Stockholm, Sweden] (ECDC), Experts of the MERS-CoV Working Group Members of this working group who provided survey data: Albania: Alma Robo, Iris Hasibra (Hatibi), Institute of Public Health, Tirana Andorra: Josep Casals Alis, Ministry of Health, Welfare and Labour, Andorra la Vella Armenia: Shushan Sargsyan, Virology Laboratory, Centre for Diseases Control and Prevention, Yerevan Austria: Stephan Aberle, Department of Virology, Medical University of Vienna, Vienna Azerbaijan: Sadraddin Gurbanov, National Virology Laboratory, National Anti-Plague Station, Baku Belarus: Natalia Gribkova, Laboratory for Influenza and Influenza-like Diseases, Republican Research and Practical Center for Epidemiology and Microbiology, Minsk Belgium: Marc Van Ranst, Greet Ieven and Sophie Patteet, National Reference Centre of Respiratory Viruses, University Hospital Leuven and UZA Antwerpen, Antwerpen Bosnia and Herzegovina: Stanka Tomic, Microbiology Department, Institute of Public Health of the Republic of Srpska, Banja Luka Bulgaria: Neli Korsun, National Laboratory 'Influenza and ARD', Department of Virology, National Centre of Infectious and Parasitic Diseases, Sofia Croatia: Vladimir Drazenovic, National Influenza Centre, Croatian National Institute of Public Health, Zagreb Cyprus: Despo Pieridou-Bagkatzouni, Microbiology Department, Nicosia General Hospital, Nicosia Czech Republic: Helena Jirincova, Martina Havlickova, National Reference Laboratory for Influenza, National Institute for Public Health, Prague Denmark: Anders Fomsgaard, Virus Research and Development Laboratory, Department Microbiology Diagnostic and Virology, Statens Serum Institut, Copenhagen Estonia: Külli Rae, Laboratory of Communicable Diseases, Health Board, Tallinn Finland: Maija Lappalainen, Department of Virology and Immunology, Helsinki University Hospital, Laboratory Services (HUSLAB) and Niina Ikonen, Virology Unit, National Institute for Health and Welfare, Helsinki France: Bruno Lina, Centre National de Référence des Virus Influenza – HCL, Lyon and Sylvie van der Werf, Unit of Molecular Genetics of RNA viruses, Institut Pasteur and Jean-Claude Manuguerra, Cellule d’Intervention Biologique d’Urgence (CIBU), Institut Pasteur, Paris Georgia: Ann Machablishvili, National Influenza Centre, National Centre for Disease Control and Public Health, Tbilisi Germany: Markus Eickmann, Institut für Virologie der Philipps-Universität in Marburg and Thorsten Wolff, Div of Influenza and other Respiratory viruses, Robert Koch-Institut, and Dr. Gerhard Dobler, Bundeswehr Instittue of Microbiology, and Jonas Schmidt-Chanasit, WHOCC for Arbovirus and Haemorrhagic Fever Reference and Research at Bernhard Nocht Institute for Tropical Medicine, Hamburg, and Christian Drosten, Virology Institute, Bonn Greece: Anna Papa, National Reference Laboratory for Arboviruses and Hemorrhagic Fever viruses, Aristotle University of Thessaloniki, Thessaloniki and Andreas F. Mentis, National Influenza Reference Laboratory of Southern Greece/Hellenic Pasteur Institute, Athens Hungary: Zoltan Kis, Department for Respiratory Viruses / National Biosafety Laboratory, B. Johan National Center for Epidemiology, Budapest Iceland: Arthur Löve, Department of Virology, Landspitali- National University Hospital, Reykjavik Ireland: Suzie Coughlan, National Virus Reference Laboratory/University College Dublin, Dublin Israel: Michal Mandelboim, Central Virology Laboratory, Sheba Medical Center, Tel Hashomer Italy: Maria R. Capobianchi, Laboratory of Virology/National Institute for Infectious Diseases Lazzaro Spallanzani, and Maria Paola Landini, Regional Center for Emerging Infections (CRREM)/ Unit of Clinical Microbiology, St. Orsola General Hospital, Bologna, and Fausto Baldanti, Molecular Virology Unit, Department of Microbiology and Virology, Fondazione IRCCS Policlinico San Matteo, Pavia, and Giorgio Palu, Microbiology and Virology/Padova University Hospital, and Valeria Ghisetti, Laboratory of Microbiology and Virology, Amedeo di Savoia Hospital, Torino, and Isabella Donatelli, National Influenza Centre, Instituto Superiore di Sanita, Kazakhstan: Gaukhar Nusupbayeva, Zarina Tokhtabakiyeva, National Reference Laboratory on Control of Viral Infections, Scientifical-Practical Center of Sanitary and Epidemiological Expertise and Monitoring, Almaty Kyrgyzstan: Kaliya Kasymbekova, Centre of Molecular-Genetic and Microbiological Investigations, Department of State Sanitary Epidemiological Surveillance, Bishkek Latvia: Jelena Storozenko, Riga East University Hospital, Latvian Centre of Infectious Diseases, National Microbiology Reference Laboratory, Riga Liechtenstein: Sabine Erne, Office of Public Health, Country Administration of Principality of Liechtenstein Lithuania: Algirdas Griskevicius, National Public Health Surveillance Laboratory, Vilnius Luxembourg: Matthias Opp, Laboratoire National de Santé, Luxembourg Malta: Christopher Barbara, Pathology Department, Mater Dei Hospital, Msida Montenegro: Zoran Vratnica, Centre for Medical Microbiology, Public Health Institute of Montenegro, Podgorica Netherlands: Chantal Reusken, Centre for Infectious Disease Research, Diagnostics and Screening, National Institute for Public Health and the Environment, Bilthoven Norway: Susanne Gjeruldsen Dudman and Olav Hungnes, Department of Virology, Norwegian Institute of Public Health, Oslo Poland: Katarzyna Pancer, National Institute of Public Health- National Institute of Hygiene, Department of Virology, Warsaw Portugal: Raquel Guiomar, National Influenza Reference Laboratory, Infectious Diseases Department, National Institute of Health, Lisboa Republic of Moldova: Veronica Eder, Laboratory of Viral Respiratory Infections, National Center for Public Health, Chisinau Romania: Emilia Lupulescu, Laboratory for Respiratory Viruses/ NIRDMI Cantacuzino, Bucharest Russian Federation: Svetlana Yatsyshina, Reference Centre for Infection Agents, Central Research Institute of Epidemiology (CRIE), Rospotrebnadzor, Moscow, and Maria Pisareva and Zhanna Buzitskaya, Laboratory of Molecular Virology and Genetic Engineering, Research Institute of Influenza, St Petersburg, and Alexander Sergeev, State Research Center of Virology and Biotechnology VECTOR, Novosibirsk Serbia: Jasminka Nedeljković, Respiratory Department, Torlak Institute of Immunology and Virology, Belgrade Slovakia: Edita Staroňová, National Influenza Center/Public Health Authority, Bratislava Slovenia: Tatjana Avšič Županc, Miroslav Petrovec, Miša Korva, University of Ljubljana, Faculty of Medicine, Institute of Microbiology and Immunology, and Katarina Prosenc, Laboratory for Virology, National Public Health Institute Slovenia, Ljubljana Spain: Inmaculada Casas, Influenza National Reference Laboratory, National Influenza Center-Madrid, Instituto de Salud Carlos III, Majadahonda, Madrid and Ramon Cisterna Clinical microbiology and infection control, Hospital Basurto Bilbao Spain Sweden: Hans Gaines, Swedish Institute for Communicable Disease Control, Stockholm Switzerland: Pascal Cherpillod, National Reference Centre for Emerging Viral Infections, Laboratory of Virology, Division of Infectious Diseases University of Geneva Hospitals, Geneva Tajikistan: Niginamo Zakirova, Virology Laboratory, State Sanitary-Epidemiological Surveillance, Dushanbe The former Yugoslav Republic of Macedonia: Golubinka Bosevska, Laboratory for Virology and Molecular Diagnostics, Institute of Public Health, Skopje Turkey: Basak Altas, National Influenza Centre, Virology Reference and Research Laboratory, Public Health Institutions of Turkey, Ankara, and Meral Ciblak, National Influenza Reference Laboratory, Faculty of Medicine, University of Istanbul, Istanbul Turkmenistan: Central Reference Laboratory, Sanitary Epidemiologic Service, Ashgabat Ukraine: Alla Mironenko, National Influenza Centre, L.V.Gromashevsky Institute of Epidemiology & Infectious diseases NAMS, and Tetiana Dykhanovska and Iryna Demchyshyna, Centre of influenza and ARVI, Central Sanitary and Epidemiological Station, Kiev United Kingdom: Alison Bermingham, Respiratory Virus Unit, Virus Reference Department, Public Health England, London Uzbekistan: Ravshan Rakhimov, National Influenza Centre, Institute of Virology, Tashkent., and We thank the ECDC National Microbiology Focal Points in EU/EEA countries, focal points from laboratories of the EuroFlu and ENIVD networks for coordinating data collection and for dedicated and rapid responses to the surveys.
- Subjects
Epidemiology ,Middle East respiratory syndrome coronavirus ,[SDV]Life Sciences [q-bio] ,SARS (Disease) ,MERS (Disease) ,medicine.disease_cause ,World Health Organization ,Communicable Diseases, Emerging ,World health ,Viral genetics ,Coronavirus infections -- Laboratory manuals ,Environmental protection ,Virology ,Environmental health ,medicine ,media_common.cataloged_instance ,Humans ,European Union ,European union ,Coronavirus ,media_common ,Middle East ,business.industry ,Reverse Transcriptase Polymerase Chain Reaction ,Public Health, Environmental and Occupational Health ,Reference Standards ,European region ,Health Surveys ,Diseases -- Causes and theories of causation ,Middle East Respiratory Syndrome Coronavirus ,RNA, Viral ,Disease prevention ,business ,Coronavirus Infections ,Laboratories ,Sentinel Surveillance ,Sequence Analysis - Abstract
Since September 2012, over 90 cases of respiratory disease caused by a novel coronavirus, now named Middle East respiratory syndrome coronavirus (MERS-CoV), have been reported in the Middle East and Europe. To ascertain the capabilities and testing experience of national reference laboratories across the World Health Organization (WHO) European Region to detect this virus, the European Centre for Disease Prevention and Control (ECDC) and the WHO Regional Office for Europe conducted a joint survey in November 2012 and a follow-up survey in June 2013. In 2013, 29 of 52 responding WHO European Region countries and 24 of 31 countries of the European Union/European Economic Area (EU/EEA) had laboratory capabilities to detect and confirm MERS-CoV cases, compared with 22 of 46 and 18 of 30 countries, respectively, in 2012. By June 2013, more than 2,300 patients had been tested in 23 countries in the WHO European Region with nine laboratory-confirmed MERS-CoV cases. These data indicate that the Region has developed significant capability to detect this emerging virus in accordance with WHO and ECDC guidance. However, not all countries had developed capabilities, and the needs to do so should be addressed. This includes enhancing collaborations between countries to ensure diagnostic capabilities for surveillance of MERS-CoV infections across the European Region., peer-reviewed
- Published
- 2014
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