127 results on '"Jaenisch, T"'
Search Results
2. Separation of volatile fatty acids from biogas plant hydrolysates
- Author
-
Jänisch, T., Reinhardt, S., Pohsner, U., Böringer, S., Bolduan, R., Steinbrenner, J., and Oechsner, H.
- Published
- 2019
- Full Text
- View/download PDF
3. Establishment and cryptic transmission of Zika virus in Brazil and the Americas
- Author
-
Faria, N. R., Quick, J., Claro, I.M., Thézé, J., de Jesus, J. G., Giovanetti, M., Kraemer, M. U. G., Hill, S. C., Black, A., da Costa, A. C., Franco, L. C., Silva, S. P., Wu, C.-H., Raghwani, J., Cauchemez, S., du Plessis, L., Verotti, M. P., de Oliveira, W. K., Carmo, E. H., Coelho, G. E., Santelli, A. C. F. S., Vinhal, L. C., Henriques, C. M., Simpson, J. T., Loose, M., Andersen, K. G., Grubaugh, N. D., Somasekar, S., Chiu, C. Y., Muñoz-Medina, J. E., Gonzalez-Bonilla, C. R., Arias, C. F., Lewis-Ximenez, L. L., Baylis, S. A., Chieppe, A. O., Aguiar, S. F., Fernandes, C. A., Lemos, P. S., Nascimento, B. L. S., Monteiro, H. A. O., Siqueira, I. C., de Queiroz, M. G., de Souza, T. R., Bezerra, J. F., Lemos, M. R., Pereira, G. F., Loudal, D., Moura, L. C., Dhalia, R., França, R. F., Magalhães, T., Marques, Jr, E. T., Jaenisch, T., Wallau, G. L., de Lima, M. C., Nascimento, V., de Cerqueira, E. M., de Lima, M. M., Mascarenhas, D. L., Neto, J. P. Moura, Levin, A. S., Tozetto-Mendoza, T. R., Fonseca, S. N., Mendes-Correa, M. C., Milagres, F. P., Segurado, A., Holmes, E. C., Rambaut, A., Bedford, T., Nunes, M. R. T., Sabino, E. C., Alcantara, L. C. J., Loman, N. J., and Pybus, O. G.
- Published
- 2017
- Full Text
- View/download PDF
4. Comparison and critical appraisal of dengue clinical guidelines and their use in Asia and Latin America
- Author
-
Santamaria, R., Martinez, E., Kratochwill, S., Soria, C., Tan, L.H., Nuñez, A., Dimaano, E., Villegas, E., Bendezú, H., Kroeger, A., Castelobranco, I., Siqueira, J.B., Jaenisch, T., Horstick, O., and Lum, L.C.S.
- Published
- 2009
- Full Text
- View/download PDF
5. Severe dengue categories as research endpoints-Results from a prospective observational study in hospitalised dengue patients
- Author
-
Rosenberger, KD, Alexander, N, Martinez, E, Lum, LCS, Dempfle, C-E, Junghanss, T, Wills, B, Jaenisch, T, and Group, DENCO Clinical Study
- Subjects
Male ,0301 basic medicine ,Viral Diseases ,Pulmonology ,Pleural effusion ,RC955-962 ,Disease ,Pathology and Laboratory Medicine ,Linear Discriminant Analysis ,Vascular Medicine ,Dengue Fever ,Dengue fever ,Mathematical and Statistical Techniques ,0302 clinical medicine ,Arctic medicine. Tropical medicine ,Ascites ,Medicine and Health Sciences ,Prospective Studies ,Young adult ,Child ,Prospective cohort study ,Incidence ,Incidence (epidemiology) ,musculoskeletal, neural, and ocular physiology ,Statistics ,Age Factors ,Hospitals ,Clinical Laboratory Sciences ,3. Good health ,Hospitalization ,Clinical Laboratories ,Infectious Diseases ,Liver ,Physical Sciences ,Female ,Anatomy ,medicine.symptom ,Public aspects of medicine ,RA1-1270 ,Research Article ,Neglected Tropical Diseases ,medicine.medical_specialty ,Asia ,Adolescent ,030231 tropical medicine ,Hemorrhage ,Gastroenterology and Hepatology ,macromolecular substances ,Research and Analysis Methods ,Young Adult ,03 medical and health sciences ,Signs and Symptoms ,Diagnostic Medicine ,Internal medicine ,medicine ,Humans ,Severe Dengue ,Statistical Methods ,Inpatients ,business.industry ,Organ dysfunction ,Public Health, Environmental and Occupational Health ,Biology and Life Sciences ,Tropical Diseases ,medicine.disease ,Pleural Effusion ,Latin America ,030104 developmental biology ,nervous system ,business ,Mathematics - Abstract
Severe dengue was perceived as one clinical disease entity until the WHO 2009 classification stratified it into severe vascular leakage, severe bleeding, and severe organ dysfunction. The objectives of this study were to investigate the potential use of severe dengue categories as endpoints for intervention research. 271 patients with severe dengue among 1734 confirmed dengue patients were followed prospectively in this hospital-based observational study in Latin America and Asia. We compared the distribution of severe dengue categories according to gender and age (below/above 15y), and determined the relative frequency and the overlap of severe dengue categories in the same patients. In a next step, we extended the analysis to candidate moderate severity categories, based on recently suggested definitions which were adapted for our purposes. Severe vascular leakage occurred in 244 (90%), severe bleeding in 39 (14%), and severe organ dysfunction in 28 (10%) of 271 severe dengue patients. A higher frequency of severe leakage was seen in children or adolescents (, Author summary Severe dengue (DHF/DSS) was perceived as one clinical disease entity until the WHO 2009 classification defined three categories: severe vascular leakage, severe bleeding, and severe organ dysfunction. Here we provide new insight about the discriminatory power and the overlap or co-occurrence of the severe dengue categories. We also respond to the need to validate standard clinical endpoints for severe dengue in well-characterized data sets. In addition, we respond to the need for moderate disease endpoints, which are recorded more frequently than the severe ones. Severe vascular leakage alone constitutes the largest group among the severe dengue categories and may be useful as endpoint for intervention or pathophysiology research. Other severe dengue categories as for example severe bleeding can also sometimes occur alone–however, this might be associated with the presence of comorbidities or individual predisposition and should be studied in more detail. Moderate disease endpoints were suggested and explored here, but need to be further investigated.
- Published
- 2020
6. Ns2b as marker for zika virus infections
- Author
-
Jaenisch, T., Fischer, N., Löffler, F., Sekul, R., Stadler, V., and Marques, E.
- Published
- 2020
7. A description of the evolution of clinical features in 1916 dengue-infected patients across four Southeast Asian and three Latin American countries: are particular syndromes identifiable
- Author
-
Jaenisch, T.
- Published
- 2011
8. Impacts of international labor migration on the mental health and well-being of left-behind children
- Author
-
Antia, K, primary, Boucsein, J, additional, Deckert, A, additional, Dambach, P, additional, Racaite, J, additional, Surkiene, G, additional, Jaenisch, T, additional, Horstick, O, additional, and Winkler, V, additional
- Published
- 2020
- Full Text
- View/download PDF
9. GloPID-R report on chikungunya, o'nyong-nyong and Mayaro virus, part 5: Entomological aspects
- Author
-
Pezzi, L., primary, Diallo, M., additional, Rosa-Freitas, M.G., additional, Vega-Rua, A., additional, Ng, L.F.P., additional, Boyer, S., additional, Drexler, J.F., additional, Vasilakis, N., additional, Lourenco-de-Oliveira, R., additional, Weaver, S.C., additional, Kohl, A., additional, de Lamballerie, X., additional, Failloux, A.-B., additional, Brasil, P., additional, Busch, M., additional, Diamond, M.S., additional, Drebot, M.A., additional, Gallian, P., additional, Jaenisch, T., additional, LaBeaud, A.D., additional, Lecuit, M., additional, Neyts, J., additional, Reusken, C.B., additional, Ribeiro, G.S., additional, Rios, M., additional, Rodriguez-Morales, A.J., additional, Sall, A., additional, Simmons, G., additional, Simon, F., additional, and Siqueira, A.M., additional
- Published
- 2020
- Full Text
- View/download PDF
10. GloPID-R report on chikungunya, o'nyong-nyong and Mayaro virus, part 2: Epidemiological distribution of o'nyong-nyong virus
- Author
-
Pezzi, L., primary, LaBeaud, A.D., additional, Reusken, C.B., additional, Drexler, J.F., additional, Vasilakis, N., additional, Diallo, M., additional, Simon, F., additional, Jaenisch, T., additional, Gallian, P., additional, Sall, A., additional, Failloux, A.B., additional, Weaver, S.C., additional, de Lamballerie, X., additional, Boyer, S., additional, Brasil, P., additional, Busch, M., additional, Diamond, M.S., additional, Drebot, M.A., additional, Kohl, A., additional, Lecuit, M., additional, Lourenço-de-Oliveira, R., additional, Neyts, J., additional, Lfp, Ng, additional, Ribeiro, G.S., additional, Rios, M., additional, Rodriguez-Morales, A.J., additional, Rosa-Freitas, M.G., additional, Simmons, G., additional, Siqueira, A.M., additional, and Vega Rua, A., additional
- Published
- 2019
- Full Text
- View/download PDF
11. Estudio de seroprevalencia de infección por Virus Zika en Chincha, Ica, Peru
- Author
-
Cachay, Rodrigo, Schwalb, Alvaro, Acevedo-Rodríguez, Juan Gonzalo, Merino, Xiomara, Talledo, Michael, Guerra, Humberto, Gotuzzo, Eduardo, and Jaenisch, T.
- Subjects
Virus Zika ,seroprevalencia ,infección - Abstract
Introducción: La provincia de Chincha reportó 4,317 casos de infección por virus Zika (ZIKV) durante el 2017. Debido a que 62% de casos de Zika son asintomáticos es importante estimar el estado de seroprevalencia en la población ya que existen estudios que sugieren protección inmunológica a infecciones futuras. El objetivo del estudio fue estimar la seroprevalencia de ZIKV y sus factores asociados en dos distritos de Chincha. Metodología: Estudio transversal realizado entre marzo y mayo del 2019 en los distritos de Chincha Baja (CB) y Pueblo Nuevo (PN); este último fue el distrito con más casos reportados de Zika en el brote del 2017. La población fueron participantes de ambos sexos, entre 20 a 40 años, residentes de sus distritos mínimo 1 año sin viajes mayores a 1 mes durante dicho periodo. Se registraron variables demográficas, antecedentes, y factores de riesgo para infección por arbovirus y se analizaron las muestras para IgG anti-ZIKV. Resultados: Se enrolaron 400 participantes, siendo 78.8% del sexo femenino. Se encontró una prevalencia de 10.3% para IgG-anti ZIKV entre ambos distritos, siendo 17.6% y 3% en PN y CB, respectivamente. Los residentes de PN tienen 5.83 veces la prevalencia de IgG anti-ZIKV positivo en comparación a la población de CB (IC95% 2.51 - 13.56, p < 0.001). Ingresos mensuales menores al sueldo mínimo (RP: 2.76; IC95% 1.34 - 5.71), antecedente personal y familiar de fiebre y rash (RP:5.49, IC95% 3.16 - 9.55; RP:2.56, IC95% 1.41 - 4.67, respectivamente) se asociaron a títulos de IgG positivo. Conclusiones: La prevalencia en Chincha es similar a la reportada en otro países de Latinoamérica. Se debe fomentar métodos de protección contra vectores y formular estrategias de prevención ante la posibilidad de un futuro brote en CB. 2019-09-05
- Published
- 2019
12. GloPID-R report on chikungunya, o'nyong-nyong and Mayaro virus, part 3: Epidemiological distribution of Mayaro virus
- Author
-
Pezzi, L., Rodriguez-Morales, A.J., Reusken, C.B., Ribeiro, G.S., Labeaud, A.D., Lourenço-De-Oliveira, R., Brasil, P., Lecuit, M., Failloux, Anna-Bella, Gallian, P., Jaenisch, T., Simon, F., Siqueira, A.M., Rosa-Freitas, M.G., Vega Rua, A., Weaver, S.C., Drexler, J.F., Vasilakis, N., de Lamballerie, Xavier, Boyer, Sébastien, Busch, M., Diallo, M., Diamond, M.S., Drebot, M.A., Kohl, A., Neyts, J., Ng, L.F.P., Rios, M., Sall, A., Simmons, G., Virology, Unité des Virus Emergents (UVE), Institut de Recherche pour le Développement (IRD)-Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire de Virologie [UNIV Corse-Inserm] (EA7310), Université Pascal Paoli (UPP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Universidad Tecnológica de Pereira [Colombie] (UTP), National Institute for Public Health and the Environment [Bilthoven] (RIVM), Erasmus University Medical Center [Rotterdam] (Erasmus MC), Universidade Federal da Bahia (UFBA), Stanford School of Medicine [Stanford], Stanford Medicine, Stanford University-Stanford University, Fundação Oswaldo Cruz (FIOCRUZ), Réseau International des Instituts Pasteur (RIIP), Biologie des Infections - Biology of Infection, Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Descartes - Paris 5 (UPD5), CHU Necker - Enfants Malades [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Imagine - Institut des maladies génétiques (IHU) (Imagine - U1163), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Arbovirus et Insectes Vecteurs - Arboviruses and Insect Vectors, Institut Pasteur [Paris] (IP), Etablissement Français du Sang - Alpes-Méditerranée (EFS - Alpes-Méditerranée), Etablissement Français du Sang, Heidelberg University Hospital [Heidelberg], Hôpital d'Instruction des Armées Laveran, Service de Santé des Armées, Institut Pasteur de la Guadeloupe, The University of Texas Medical Branch (UTMB), German Center for Infection Research - partner site Hannover-Braunschweig (DZIF), Charité - UniversitätsMedizin = Charité - University Hospital [Berlin], Humboldt University Of Berlin, Berlin Institute of Health (BIH), Institut Pasteur du Cambodge, University of California [San Francisco] (UC San Francisco), University of California (UC), Institut Pasteur de Dakar, Washington University in Saint Louis (WUSTL), Public Health Agency of Canada, MRC - University of Glasgow Centre for Virus Research, Laboratory of Virology and Chemotherapy [KU Leuven], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven)-Rega Institute of Medical Research [Leuven, Belgium], Catholic University of Leuven - Katholieke Universiteit Leuven (KU Leuven), Agency for science, technology and research [Singapore] (A*STAR), U.S. Food and Drug Administration (FDA), Publication fees were covered by the Global Research Collaboration for Infectious Disease Preparedness (GloPID-R)., DEMESLAY GOUGAM, MARIE, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pascal Paoli (UPP), Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Paris (UP), Institut Pasteur [Paris], Humboldt-Universität zu Berlin, University of California [San Francisco] (UCSF), University of California, and Fundação Oswaldo Cruz / Oswaldo Cruz Foundation (FIOCRUZ)
- Subjects
Primates ,GloPID-R chikungunya, o'nyong-nyong and Mayaro virus Working Group ,030231 tropical medicine ,Alphavirus ,Genome, Viral ,Mosquito Vectors ,Disease Outbreaks ,03 medical and health sciences ,0302 clinical medicine ,Seroepidemiologic Studies ,Virology ,Zoonoses ,Animals ,Humans ,O'nyong-nyong Virus ,Serologic Tests ,030212 general & internal medicine ,Pathology, Molecular ,ComputingMilieux_MISCELLANEOUS ,Phylogeny ,Disease Reservoirs ,Pharmacology ,[SDV.MP.VIR] Life Sciences [q-bio]/Microbiology and Parasitology/Virology ,Alphavirus Infections ,3. Good health ,Caribbean Region ,[SDV.MP.VIR]Life Sciences [q-bio]/Microbiology and Parasitology/Virology ,Chikungunya Fever ,Americas ,Chikungunya virus - Abstract
ispartof: ANTIVIRAL RESEARCH vol:172 ispartof: location:Netherlands status: published
- Published
- 2019
13. GloPID-R report on Chikungunya, O'nyong-nyong and Mayaro virus, part I: Biological diagnostics
- Author
-
Pezzi, L., primary, Reusken, C.B., additional, Weaver, S.C., additional, Drexler, J.F., additional, Busch, M., additional, LaBeaud, A.D., additional, Diamond, M.S., additional, Vasilakis, N., additional, Drebot, M.A., additional, Siqueira, A.M., additional, Ribeiro, G.S., additional, Kohl, A., additional, Lecuit, M., additional, Ng, L.F.P., additional, Gallian, P., additional, de Lamballerie, X., additional, Boyer, S., additional, Brasil, P., additional, Diallo, M., additional, Failloux, A.B., additional, Jaenisch, T., additional, Lourenço-de-Oliveira, R., additional, Neyts, J., additional, Rios, M., additional, Rodriguez-Morales, A.J., additional, Rosa-Freitas, M.G., additional, Sall, A., additional, Simmons, G., additional, Simon, F., additional, and Vega Rua, A., additional
- Published
- 2019
- Full Text
- View/download PDF
14. Evidence for a revised dengue classification: a multi-centre prospective study across Southeast Asia and Latin America
- Author
-
Jaenisch, T, Wills, B, Alexander, N, Arana, B, Balmaseda, A, Jr, S, Castelobranco, I, Dimaano, E, Farrar, J, Gaczkowski, R, Guzman, M, Harris, E, Hien, T, Horstick, O, Junghanss, T, Knerer, G, Na-Bangchang, K, Hung, N, Kalayanarooj, S, Lum, L, Kroeger, A, Martinez Torres, E, Rocha, C, Rosenberger, K, and Tan, L
- Published
- 2016
15. Vascular leakage in dengue - clinical spectrum and influence of parenteral fluid therapy
- Author
-
Rosenberger, K, Lum, L, Alexander, N, Junghanss, T, Wills, B, Jaenisch, T, and Group, DENCO Clinical Study
- Subjects
Adult ,Male ,medicine.medical_specialty ,Adolescent ,030231 tropical medicine ,Dengue fever ,Dengue ,Young Adult ,03 medical and health sciences ,0302 clinical medicine ,Risk Factors ,Internal medicine ,medicine ,Humans ,Prospective Studies ,030212 general & internal medicine ,Respiratory system ,Young adult ,Child ,Prospective cohort study ,2. Zero hunger ,Respiratory distress ,business.industry ,Proportional hazards model ,Hazard ratio ,Infant, Newborn ,Public Health, Environmental and Occupational Health ,Infant ,Shock ,Middle Aged ,medicine.disease ,3. Good health ,Surgery ,Infectious Diseases ,Child, Preschool ,Shock (circulatory) ,Disease Progression ,Blood Vessels ,Fluid Therapy ,Female ,Parasitology ,medicine.symptom ,business - Abstract
Clinical management of dengue relies on careful monitoring of fluid balance combined with judicious intravenous (IV) fluid therapy. However, in patients with significant vascular leakage IV fluids may aggravate serosal fluid accumulation and result in respiratory distress.Trained physicians followed suspected dengue cases prospectively at seven hospitals across Asia and Latin America, using a comprehensive case-report form that included daily clinical assessment and detailed documentation of parenteral fluid therapy. Applying Cox regression, we evaluated risk factors for the development of shock or respiratory distress with fluid accumulation.Most confirmed-dengue patients (1524/1734, 88%) never experienced dengue shock syndrome (DSS). Among those with DSS, 176/210 (84%) had fluid accumulation, and in the majority, (83%), this was detectable clinically. Among all cases with clinically detectable fluid accumulation, 179/447 (40%) were diagnosed with shock or respiratory distress. The risk for respiratory distress with fluid accumulation increased significantly as the infused volume over the preceding 24hrs increased (hazard ratio 1.18 per 10 ml/kg increase; p
- Published
- 2016
16. Epidemic establishment and cryptic transmission of Zika virus in Brazil and the Americas
- Author
-
Faria, N. R., primary, Quick, J., additional, Morales, I., additional, Thézé, J., additional, Jesus, J.G., additional, Giovanetti, M., additional, Kraemer, M. U. G., additional, Hill, S. C., additional, Black, A., additional, da Costa, A. C., additional, Franco, L.C., additional, Silva, S. P., additional, Wu, C.-H., additional, Raghwani, J., additional, Cauchemez, S., additional, du Plessis, L., additional, Verotti, M. P., additional, de Oliveira, W. K., additional, Carmo, E. H., additional, Coelho, G. E., additional, Santelli, A. C. F. S., additional, Vinhal, L. C., additional, Henriques, C. M., additional, Simpson, J. T., additional, Loose, M., additional, Andersen, K. G., additional, Grubaugh, N. D., additional, Somasekar, S., additional, Chiu, C. Y., additional, Muñoz-Medina, J. E., additional, Gonzalez-Bonilla, C. R., additional, Arias, C. F., additional, Lewis-Ximenez, L. L., additional, Baylis, S.A., additional, Chieppe, A. O., additional, Aguiar, S. F., additional, Fernandes, C. A., additional, Lemos, P. S., additional, Nascimento, B. L. S., additional, Monteiro, H. A. O., additional, Siqueira, I. C., additional, de Queiroz, M. G., additional, de Souza, T. R., additional, Bezerra, J. F., additional, Lemos, M. R., additional, Pereira, G. F., additional, Loudal, D., additional, Moura, L. C., additional, Dhalia, R., additional, França, R. F., additional, Magalhães, T., additional, Marques, E. T., additional, Jaenisch, T., additional, Wallau, G. L., additional, de Lima, M. C., additional, Nascimento, V., additional, de Cerqueira, E. M., additional, de Lima, M. M., additional, Mascarenhas, D. L., additional, Moura Neto, J. P., additional, Levin, A. S., additional, Tozetto-Mendoza, T. R., additional, Fonseca, S. N., additional, Mendes-Correa, M. C., additional, Milagres, F.P., additional, Segurado, A., additional, Holmes, E. C., additional, Rambaut, A., additional, Bedford, T., additional, Nunes, M. R. T., additional, Sabino, E. C., additional, Alcantara, L. C. J., additional, Loman, N., additional, and Pybus, O. G., additional
- Published
- 2017
- Full Text
- View/download PDF
17. Evidence for a revised dengue classification: a multi-centre prospective study across Southeast Asia and Latin America
- Author
-
Jaenisch, T, Wills, B, Alexander, N, Arana, B, Balmaseda, A, Jr, SJB, Castelobranco, I, Dimaano, E, Farrar, J, Gaczkowski, R, Guzman, M, Harris, E, Hien, TT, Horstick, O, Junghanss, T, Knerer, G, Na-Bangchang, K, Hung, NT, Kalayanarooj, S, Lum, L, Kroeger, A, Martinez Torres, E, Rocha, C, Rosenberger, K, Tan, LH, Thuy, TT, Villalobos, I, and Villegas, E
- Published
- 2009
18. Multi-country evaluation of the sensitivity and specificity of two commercially available NS1 ELISA assays for dengue diagnosis
- Author
-
Guzman, M. G., Jaenisch, T., Gaczkowski, R., Hang, V. T. T., Devi, S., Horstick, O., Kroeger, A., and Cameron P. Simmons
- Published
- 2009
19. 8029 The expression of CASA in ascites correlates with the overall survival and clinical outcome in patients with ovarian cancer
- Author
-
Braicu, E.I., Jänisch, T., Chekerov, R., Oskay-Özcelik, G., Pietzner, K., Stamatian, F., Lichtenegger, W., and Sehouli, J.
- Published
- 2009
- Full Text
- View/download PDF
20. Prevalence of post-traumatic stress disorder among Palestinian children and adolescents exposed to political violence: A systematic review and meta-analysis
- Author
-
Nicholas Henschke, Thomas Jaenisch, Volker Winkler, Olaf Horstick, Nisreen Agbaria, Stephanie Petzold, Guido Veronese, Andreas Deckert, Peter Dambach, Agbaria, N, Petzold, S, Deckert, A, Henschke, N, Veronese, G, Dambach, P, Jaenisch, T, Horstick, O, and Winkler, V
- Subjects
Male ,Epidemiology ,PsycINFO ,Comorbidity ,Cochrane Library ,Adolescents ,Stress Disorders, Post-Traumatic ,Geographical Locations ,Families ,Mathematical and Statistical Techniques ,Adaptation, Psychological ,Prevalence ,Medicine and Health Sciences ,Medicine ,Child ,Children ,education.field_of_study ,Multidisciplinary ,Politics ,Post-Traumatic Stress Disorder ,Statistics ,Traumatic stress ,Metaanalysis ,Research Assessment ,Anxiety Disorders ,Systematic review ,Meta-analysis ,Physical Sciences ,Female ,Palestinian Territories ,Post-traumatic stress disorder, Adolescents, Children, Palestinian territories, Metaanalysis, Mental health and psychiatry, Systematic reviews, Medical risk factors ,Research Article ,Risk ,medicine.medical_specialty ,Sociodemographic Factors ,Asia ,Adolescent ,Systematic Reviews ,Science ,Population ,Context (language use) ,Neuropsychiatric Disorders ,Violence ,Neuroses ,Research and Analysis Methods ,Middle East ,Mental Health and Psychiatry ,Humans ,Statistical Methods ,education ,business.industry ,Public health ,Age Groups ,Medical Risk Factors ,People and Places ,Population Groupings ,M-PSI/08 - PSICOLOGIA CLINICA ,business ,Publication Bias ,Mathematics ,Demography - Abstract
ObjectiveWe undertook a systematic review of the literature to explore the prevalence of post-traumatic stress disorder (PTSD) in Palestinian children and adolescents exposed to political violence. This is the first systematic review and meta-analysis of the prevalence of PTSD in this population.MethodsPubMed, Embase, PsycInfo, Google Scholar and Cochrane library were searched until June 2020. To estimate the prevalence of PTSD, sub-group and meta-analysis were conducted.ResultsThe search resulted in 2786 studies, of which 28 articles representing 32 samples with a total of 15,121 participants from Gaza Strip and West Bank met either the DSM-4 or DSM-5 criteria and were included. The pooled prevalence of PTSD was 36% (95% CI 30–41%;I298.6%) and ranged from 6% to 70%. Sub-group analysis showed that the PTSD prevalence did not differ according to region (West Bank, Gaza Strip) and tended to decrease after including only studies using a representative sample (ppConclusionWe identified high prevalence of PTSD among Palestinian children and adolescents exposed to political violence. However, the pooled results should be interpreted with caution, due to the high heterogeneity and risk of bias in the included studies. These limitations also reflect the challenge in conceptualizing and measuring PTSD in the Palestinian context with a background of continuous and cumulative trauma. Understanding the contextual factors and developing locally adapted survey measures are of relevance to future research, public health planning, and the provision of mental healthcare in Palestine.
- Published
- 2020
21. Global, regional, and national under-5 mortality, adult mortality, age-specific mortality, and life expectancy, 1970–2016: a systematic analysis for the Global Burden of Disease Study 2016
- Author
-
Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M., Abd-Allah, Foad, Abera, Semaw Ferede, Abraha, Haftom Niguse, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M. E., Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adetifa, Ifedayo Morayo O., Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Ahmed, Muktar Beshir, Aichour, Miloud Taki Eddine, Aichour, Amani Nidhal, Aichour, Ibthiel, Aiyar, Sneha, Akanda, Ali Shafqat, Akinyemiju, Tomi F., Akseer, Nadia, Al Lami, Faris Hasan, Alabed, Samer, Alahdab, Fares, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Aldridge, Robert William, Alene, Kefyalew Addis, Al-Eyadhy, Ayman, Alhabib, Samia, Ali, Raghib, Alizadeh-Navaei, Reza, Aljunid, Syed M., Alkaabi, Juma M., Alkerwi, Ala'a, Alla, François, Allam, Shalini D., Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A., Alvis-Guzman, Nelson, Amare, Azmeraw T., Ameh, Emmanuel A., Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Assaye, Ashagre Molla, Atey, Tesfay Mehari, Atre, Sachin R., Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G. Arthur, Awasthi, Ashish, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Balalla, Shivanthi, Barac, Aleksandra, Barber, Ryan M., Barboza, Miguel A., Barker-Collo, Suzanne L., Bärnighausen, Till, Barquera, Simon, Barregard, Lars, Barrero, Lope H., Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bennett, James R., Bensenor, Isabela M., Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Bicer, Burcu Kucuk, Bidgoli, Hassan Haghparast, Bikbov, Boris, Birungi, Charles, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Bjerregaard, Peter, Blosser, Christopher D., Boneya, Dube Jara, Boufous, Soufiane, Bourne, Rupert R. A., Brazinova, Alexandra, Breitborde, Nicholas J. K., Brenner, Hermann, Brugha, Traolach S., Bukhman, Gene, Bulto, Lemma Negesa Bulto, Bumgarner, Blair Randal, Burch, Michael, Butt, Zahid A., Cahill, Leah E., Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael Ricardo, Car, Josip, Car, Mate, Cárdenas, Rosario, Carpenter, David O., Carrero, Juan Jesus, Carter, Austin, Castañeda-Orjuela, Carlos A., Castro, Franz F., Castro, Ruben Estanislao, Catalá-López, Ferrán, Chen, Honglei, Chiang, Peggy Pei-Chia, Chibalabala, Mirriam, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A., Choi, Jee-Young Jasmine, Christensen, Hanne, Christopher, Devasahayam Jesudas, Ciobanu, Liliana G., Cirillo, Massimo, Cohen, Aaron J., Colquhoun, Samantha M., Coresh, Josef, Criqui, Michael H., Cromwell, Elizabeth A., Crump, John A., Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I., das Neves, José, Davey, Gail, Davitoiu, Dragos V., Davletov, Kairat, de Courten, Barbora, De Leo, Diego, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C., Dey, Subhojit, Dharmaratne, Samath D., Dherani, Mukesh K., Diaz-Torné, Cesar, Ding, Eric L., Dixit, Priyanka, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Donnelly, Christl Ann, dos Santos, Kadine Priscila Bender, Douwes-Schultz, Dirk, Driscoll, Tim R., Duan, Leilei, Dubey, Manisha, Duncan, Bruce Bartholow, Dwivedi, Laxmi Kant, Ebrahimi, Hedyeh, El Bcheraoui, Charbel, Ellingsen, Christian Lycke, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshetie, Setegn, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Faro, André, Farvid, Maryam S., Farzadfar, Farshad, Feigin, Valery L., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Fernandes, João C., Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Foigt, Nataliya, Foreman, Kyle J., Frank, Tahvi, Franklin, Richard C., Fraser, Maya, Friedman, Joseph, Frostad, Joseph J., Fullman, Nancy, Fürst, Thomas, Furtado, Joao M., Futran, Neal D., Gakidou, Emmanuela, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpé, Fortuné Gbètoho, Garcia-Basteiro, Alberto L., Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebrekidan, Kahsu Gebrekirstos, Gebremichael, Mengistu Welday, Gelaye, Amha Admasie, Geleijnse, Johanna M., Gemechu, Bikila Lencha, Gemechu, Kasiye Shiferaw, Genova-Maleras, Ricard, Gesesew, Hailay Abrha, Gething, Peter W., Gibney, Katherine B., Gill, Paramjit, Gillum, Richard F., Giref, Ababi Zergaw, Girma, Bedilu Weji, Giussani, Giorgia, Goenka, Shifalika, Gomez, Beatriz, Gona, Philimon N., Gopalani, Sameer Vali, Goulart, Alessandra Carvalho, Graetz, Nicholas, Gugnani, Harish Chander, Gupta, Prakash C., Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Haagsma, Juanita A., Hafezi-Nejad, Nima, Hakuzimana, Alex, Halasa, Yara A., Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Hammami, Mouhanad, Hancock, Jamie, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Hareri, Habtamu Abera, Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmus, Hay, Roderick J., Hay, Simon I., He, Fei, Heredia-Pi, Ileana Beatriz, Herteliu, Claudiu, Hilawe, Esayas Haregot, Hoek, Hans W., Horita, Nobuyuki, Hosgood, H Dean, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, John J., Huang, Hsiang, Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ileanu, Bogdan Vasile, Inoue, Manami, Irenso, Asnake Ararsa, Irvine, Caleb M. S., Islam, Sheikh Mohammed Shariful, Islam, Nazrul, Jacobsen, Kathryn H., Jaenisch, Thomas, Jahanmehr, Nader, Jakovljevic, Mihajlo B., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jin, Ye, John, Denny, John, Oommen, Johnson, Sarah Charlotte, Jonas, Jost B., Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M., Karthikeyan, Ganesan, Kasaeian, Amir, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J., Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Keiyoro, Peter Njenga, Kelbore, Sefonias Getachew, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Ketema, Ezra Belay, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Gulfaraz, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah Tawfih Abdullah, Khosravi, Mohammad Hossein, Kibret, Getiye Dejenu, Kieling, Christian, Kim, Yun Jin, Kim, Cho-il, Kim, Daniel, Kim, Pauline, Kim, Sungroul, Kimokoti, Ruth W., Kinfu, Yohannes, Kishawi, Sami, Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kuipers, Ernst J., Kulikoff, Xie Rachel, Kulkarni, Veena S., Kumar, G. Anil, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael, Lachat, Carl, Lagat, Abraham K., Lager, Anton Carl Jonas, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C., Larson, Heidi J., Larsson, Anders, Laryea, Dennis Odai, Lavados, Pablo M., Laxmaiah, Avula, Lee, Paul H., Leigh, James, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liao, Yu, Liben, Misgan Legesse, Lim, Stephen S, Linn, Shai, Lipshultz, Steven E.., Liu, Shiwei, Lodha, Rakesh, Logroscino, Giancarlo, Lopez, Alan D., Lorch, Scott A., Lorkowski, Stefan, Lotufo, Paulo A., Lozano, Rafael, Lunevicius, Raimundas, Lyons, Ronan A., Ma, Stefan, Macarayan, Erlyn RachelleKing, Machado, Isis Eloah, Mackay, Mark T., Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlos, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mantovani, Lorenzo G., Manyazewal, Tsegahun, Mapoma, Chabila C., Marczak, Laurie B., Marks, Guy B., Martin, Elena Alvarez, Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Massano, João, Maulik, Pallab K., Mayosi, Bongani M., Mazidi, Mohsen, McAlinden, Colm, McGarvey, Stephen Theodore, McGrath, John J., McKee, Martin, Mehata, Suresh, Mehndiratta, Man Mohan, Mehta, Kala M., Meier, Toni, Mekonnen, Tefera Chane, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A., Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Menon, Geetha R., Menota, Bereket Gebremichael, Mensah, George A., Meretoja, Tuomo J., Meretoja, Atte, Mezgebe, Haftay Berhane, Micha, Renata, Mikesell, Joseph, Miller, Ted R., Mills, Edward J., Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M., Misganaw, Awoke, Mishra, Shiva Raj, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Kedir Endris, Mohammed, Shafiu, Mohan, Murali B. V., Mohanty, Sanjay K., Mokdad, Ali H., Mollenkopf, Sarah K., Molokhia, Mariam, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Montico, Marcella, Mooney, Meghan D., Moore, Ami R., Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Mori, Rintaro, Morrison, Shane D., Mruts, Kalayu Birhane, Mueller, Ulrich O., Mullany, Erin, Muller, Kate, Murray, Christopher J. L., Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Srinivas, Musa, Kamarul Imran, Nachega, Jean B., Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naidoo, Kovin S., Nanda, Lipika, Nangia, Vinay, Nascimento, Bruno Ramos, Natarajan, Gopalakrishnan, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Quyen Le, Nguyen, Trang Huyen, Nguyen, Grant, Ningrum, Dina Nur Anggraini, Nisar, Muhammad Imran, Nomura, Marika, Nong, Vuong Minh, Norheim, Ole F., Norrving, Bo, Noubiap, Jean Jacques N, Nyakarahuka, Luke, O'Donnell, Martin J, Obermeyer, Carla Makhlouf, Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oren, Eyal, Ortiz, Alberto, Osgood-Zimmerman, Aaron, Ota, Erika, Owolabi, Mayowa O., Oyekale, Abayomi Samuel, PA, Mahesh, Pacella, Rosana E., Pakhale, Smita, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Park, Eun-Kee, Parsaeian, Mahboubeh, Patel, Tejas, Patten, Scott B., Patton, George C., Paudel, Deepak, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie Beth, Petri, William Arthur, Petzold, Max, Phillips, Michael Robert, Piel, Frédéric B., Pigott, David M., Pishgar, Farhad, Plass, Dietrich, Polinder, Suzanne, Popova, Svetlana, Postma, Maarten J., Poulton, Richie G., Pourmalek, Farshad, Prasad, Narayan, Purwar, Manorama, Qorbani, Mostafa, Quintanilla, Beatriz Paulina Ayala, Rabiee, Rynaz H. S., Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rahman, Mahfuzar, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Rana, Saleem M., Ranabhat, Chhabi Lal, Rao, Paturi Vishnupriya, Rawaf, Salman, Ray, Sarah E., Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C., Remuzzi, Giuseppe, Renzaho, Andre M. N., Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L., Rivas, Jacqueline Castillo, Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A., Rothenbacher, Dietrich, Roy, Ambuj, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sabde, Yogesh Damodar, Sachdev, Perminder S., Sadat, Nafis, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salama, Joseph, Salamati, Payman, Salomon, Joshua A., Salvi, Sundeep Santosh, Samy, Abdallah M., Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolores, Santos, Itamar S., Santric Milicevic, Milena M., Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I., Schmidt, Maria Inês, Schneider, Ione J. C., Schulhofer-Wohl, Sam, Schutte, Aletta E., Schwebel, David C., Schwendicke, Falk, Seedat, Soraya, Seid, Abdulbasit Musa, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shackelford, Katya Anne, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shen, Jiabin, Shetty, Balakrishna P., Shi, Peilin, Shibuya, Kenji, Shifa, Girma Temam, Shigematsu, Mika, Shiri, Rahman, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga Dora, Silberberg, Donald H., Silpakit, Naris, Silva, Diego Augusto Santos, Silva, João Pedro, Silveira, Dayane Gabriele Alves, Sindi, Shireen, Singh, Jasvinder A., Singh, Prashant Kumar, Singh, Abhishek, Singh, Virendra, Sinha, Dhirendra Narain, Skarbek, Katarzyna A. Kissimova, Skiadaresi, Eirini, Sligar, Amber, Smith, David L., Sobaih, Badr H. A., Sobngwi, Eugene, Soneji, Samir, Soriano, Joan B., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Stathopoulou, Vasiliki, Steel, Nicholas, Stein, Dan J., Steiner, Caitlyn, Stöckl, Heidi, Stokes, Mark Andrew, Strong, Mark, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sunguya, Bruno F., Sur, Patrick J., Swaminathan, Soumya, Sykes, Bryan L., Szoeke, Cassandra E. I., Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadese, Fentaw, Tandon, Nikhil, Tanne, David, Tarajia, Musharaf, Tavakkoli, Mohammad, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Tekle, Dejen Yemane, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Tesema, Cheru Leshargie, Tesssema, Belay, Theis, Andrew, Thomas, Nihal, Thompson, Alex H., Thomson, Alan J., Thrift, Amanda G., Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Fotis, Tortajada, Miguel, Tran, Bach Xuan, Truelsen, Thomas, Trujillo, Ulises, Tsilimparis, Nikolaos, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefanos, Ukwaja, Kingsley Nnanna, Undurraga, Eduardo A., Uthman, Olalekan A., Uzochukwu, Benjamin S. Chudi, van Boven, Job F. M., Varakin, Yuri Y., Varughese, Santosh, Vasankari, Tommi, Vasconcelos, Ana Maria Nogales, Velasquez, Ilais Moreno, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Violante, Francesco S., Vishnu, Abhishek, Vladimirov, Sergey K., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Waid, Jillian L., Wakayo, Tolassa, Wang, Haidong, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Wesana, Joshua, Wijeratne, Tissa, Wilkinson, James D., Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D. A., Workicho, Abdulhalik, Workie, Shimelash Bitew, Xavier, Denis, Xu, Gelin, Yaghoubi, Mohsen, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yan, Lijing L., Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yimam, Hassen Hamid, Yip, Paul, Yirsaw, Biruck Desalegn, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z., Zaidi, Zoubida, Zaki, Maysaa El Sayed, Zeeb, Hajo, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Anthony Lin, Zhang, Xueying, Zodpey, Sanjay, Zuhlke, Liesl Joanna, HASH(0x5651ca1ecb00), Viðskiptadeild (HR), School of Business (RU), Háskólinn í Reykjavík, Reykjavik University, Wang, Haidong, Abajobir, Amanuel Alemu, Abate, Kalkidan Hassen, Abbafati, Cristiana, Abbas, Kaja M., Abd-Allah, Foad, Abera, Semaw Ferede, Abraha, Haftom Niguse, Abu-Raddad, Laith J., Abu-Rmeileh, Niveen M.E., Adedeji, Isaac Akinkunmi, Adedoyin, Rufus Adesoji, Adetifa, Ifedayo Morayo O., Adetokunboh, Olatunji, Afshin, Ashkan, Aggarwal, Rakesh, Agrawal, Anurag, Agrawal, Sutapa, Ahmad Kiadaliri, Aliasghar, Ahmed, Muktar Beshir, Aichour, Amani Nidhal, Aichour, Ibthiel, Aichour, Miloud Taki Eddine, Aiyar, Sneha, Akanda, Ali Shafqat, Akinyemiju, Tomi F., Akseer, Nadia, Al-Eyadhy, Ayman, Al Lami, Faris Hasan, Alabed, Samer, Alahdab, Fare, Al-Aly, Ziyad, Alam, Khurshid, Alam, Noore, Alasfoor, Deena, Aldridge, Robert William, Alene, Kefyalew Addi, Alhabib, Samia, Ali, Raghib, Alizadeh-Navaei, Reza, Aljunid, Syed M., Alkaabi, Juma M., Alkerwi, Ala'a, Alla, Françoi, Allam, Shalini D., Allebeck, Peter, Al-Raddadi, Rajaa, Alsharif, Ubai, Altirkawi, Khalid A., Martin, Elena Alvarez, Alvis-Guzman, Nelson, Amare, Azmeraw T., Ameh, Emmanuel A., Amini, Erfan, Ammar, Walid, Amoako, Yaw Ampem, Anber, Nahla, Andrei, Catalina Liliana, Androudi, Sofia, Ansari, Hossein, Ansha, Mustafa Geleto, Antonio, Carl Abelardo T., Anwari, Palwasha, Ärnlöv, Johan, Arora, Megha, Artaman, Al, Aryal, Krishna Kumar, Asayesh, Hamid, Asgedom, Solomon Weldegebreal, Asghar, Rana Jawad, Assadi, Reza, Atey, Tesfay Mehari, Atre, Sachin R., Avila-Burgos, Leticia, Avokpaho, Euripide Frinel G. Arthur, Awasthi, Ashish, Ayala Quintanilla, Beatriz Paulina, Babalola, Tesleem Kayode, Bacha, Umar, Badawi, Alaa, Balakrishnan, Kalpana, Balalla, Shivanthi, Barac, Aleksandra, Barber, Ryan M., Barboza, Miguel A., Barker-Collo, Suzanne L., Bärnighausen, Till, Barquera, Simon, Barregard, Lar, Barrero, Lope H., Baune, Bernhard T., Bazargan-Hejazi, Shahrzad, Bedi, Neeraj, Beghi, Ettore, Béjot, Yannick, Bekele, Bayu Begashaw, Bell, Michelle L., Bello, Aminu K., Bennett, Derrick A., Bennett, James R., Bensenor, Isabela M., Benson, Jennifer, Berhane, Adugnaw, Berhe, Derbew Fikadu, Bernabé, Eduardo, Beuran, Mircea, Beyene, Addisu Shunu, Bhala, Neeraj, Bhansali, Anil, Bhaumik, Soumyadeep, Bhutta, Zulfiqar A., Bikbov, Bori, Birungi, Charle, Biryukov, Stan, Bisanzio, Donal, Bizuayehu, Habtamu Mellie, Bjerregaard, Peter, Blosser, Christopher D., Boneya, Dube Jara, Boufous, Soufiane, Bourne, Rupert R.A., Brazinova, Alexandra, Breitborde, Nicholas J.K., Brenner, Hermann, Brugha, Traolach S., Bukhman, Gene, Bulto, Lemma Negesa Bulto, Bumgarner, Blair Randal, Burch, Michael, Butt, Zahid A., Cahill, Leah E., Cahuana-Hurtado, Lucero, Campos-Nonato, Ismael Ricardo, Car, Josip, Car, Mate, Cárdenas, Rosario, Carpenter, David O., Carrero, Juan Jesu, Carter, Austin, Castañeda-Orjuela, Carlos A., Castillo Rivas, Jacqueline, Castro, Franz F., Castro, Ruben Estanislao, Catalá-López, Ferrán, Chen, Honglei, Chiang, Peggy Pei-Chia, Chibalabala, Mirriam, Chisumpa, Vesper Hichilombwe, Chitheer, Abdulaal A., Choi, Jee-Young Jasmine, Christensen, Hanne, Christopher, Devasahayam Jesuda, Ciobanu, Liliana G., Cirillo, Massimo, Cohen, Aaron J., Colquhoun, Samantha M., Coresh, Josef, Criqui, Michael H., Cromwell, Elizabeth A., Crump, John A., Dandona, Lalit, Dandona, Rakhi, Dargan, Paul I., Das Neves, José, Davey, Gail, Davitoiu, Dragos V., Davletov, Kairat, De Courten, Barbora, De Leo, Diego, Degenhardt, Louisa, Deiparine, Selina, Dellavalle, Robert P., Deribe, Kebede, Deribew, Amare, Des Jarlais, Don C., Dey, Subhojit, Dharmaratne, Samath D., Dherani, Mukesh K., Diaz-Torné, Cesar, Ding, Eric L., Dixit, Priyanka, Djalalinia, Shirin, Do, Huyen Phuc, Doku, David Teye, Donnelly, Christl Ann, Dos Santos, Kadine Priscila Bender, Douwes-Schultz, Dirk, Driscoll, Tim R., Duan, Leilei, Dubey, Manisha, Duncan, Bruce Bartholow, Dwivedi, Laxmi Kant, Ebrahimi, Hedyeh, El Bcheraoui, Charbel, Ellingsen, Christian Lycke, Enayati, Ahmadali, Endries, Aman Yesuf, Ermakov, Sergey Petrovich, Eshetie, Setegn, Eshrati, Babak, Eskandarieh, Sharareh, Esteghamati, Alireza, Estep, Kara, Fanuel, Fanuel Belayneh Bekele, Faro, André, Farvid, Maryam S., Farzadfar, Farshad, Feigin, Valery L., Fereshtehnejad, Seyed-Mohammad, Fernandes, Jefferson G., Fernandes, João C., Feyissa, Tesfaye Regassa, Filip, Irina, Fischer, Florian, Foigt, Nataliya, Foreman, Kyle J., Frank, Tahvi, Franklin, Richard C., Fraser, Maya, Friedman, Joseph, Frostad, Joseph J., Fullman, Nancy, Fürst, Thoma, Furtado, Joao M., Futran, Neal D., Gakidou, Emmanuela, Gambashidze, Ketevan, Gamkrelidze, Amiran, Gankpé, Fortuné Gbètoho, Garcia-Basteiro, Alberto L., Gebregergs, Gebremedhin Berhe, Gebrehiwot, Tsegaye Tewelde, Gebrekidan, Kahsu Gebrekirsto, Gebremichael, Mengistu Welday, Gelaye, Amha Admasie, Geleijnse, Johanna M., Gemechu, Bikila Lencha, Gemechu, Kasiye Shiferaw, Genova-Maleras, Ricard, Gesesew, Hailay Abrha, Gething, Peter W., Gibney, Katherine B., Gill, Paramjit Singh, Gillum, Richard F., Giref, Ababi Zergaw, Girma, Bedilu Weji, Giussani, Giorgia, Goenka, Shifalika, Gomez, Beatriz, Gona, Philimon N., Gopalani, Sameer Vali, Goulart, Alessandra Carvalho, Graetz, Nichola, Gugnani, Harish Chander, Gupta, Prakash C., Gupta, Rahul, Gupta, Rajeev, Gupta, Tanush, Gupta, Vipin, Haagsma, Juanita A., Hafezi-Nejad, Nima, Haghparast Bidgoli, Hassan, Hakuzimana, Alex, Halasa, Yara A., Hamadeh, Randah Ribhi, Hambisa, Mitiku Teshome, Hamidi, Samer, Hammami, Mouhanad, Hancock, Jamie, Handal, Alexis J., Hankey, Graeme J., Hao, Yuantao, Harb, Hilda L., Hareri, Habtamu Abera, Harikrishnan, Sivadasanpillai, Haro, Josep Maria, Hassanvand, Mohammad Sadegh, Havmoeller, Rasmu, Hay, Roderick J., Hay, Simon I., He, Fei, Heredia-Pi, Ileana Beatriz, Herteliu, Claudiu, Hilawe, Esayas Haregot, Hoek, Hans W., Horita, Nobuyuki, Hosgood, H. Dean, Hostiuc, Sorin, Hotez, Peter J., Hoy, Damian G., Hsairi, Mohamed, Htet, Aung Soe, Hu, Guoqing, Huang, Hsiang, Huang, John J., Iburg, Kim Moesgaard, Igumbor, Ehimario Uche, Ileanu, Bogdan Vasile, Inoue, Manami, Irenso, Asnake Ararsa, Irvine, Caleb M.S., Islam, Nazrul, Jacobsen, Kathryn H., Jaenisch, Thoma, Jahanmehr, Nader, Jakovljevic, Mihajlo B., Javanbakht, Mehdi, Jayatilleke, Achala Upendra, Jeemon, Panniyammakal, Jensen, Paul N., Jha, Vivekanand, Jin, Ye, John, Denny, John, Oommen, Johnson, Sarah Charlotte, Jonas, Jost B., Jürisson, Mikk, Kabir, Zubair, Kadel, Rajendra, Kahsay, Amaha, Kalkonde, Yogeshwar, Kamal, Ritul, Kan, Haidong, Karch, André, Karema, Corine Kakizi, Karimi, Seyed M., Karthikeyan, Ganesan, Kasaeian, Amir, Kassaw, Nigussie Assefa, Kassebaum, Nicholas J., Kastor, Anshul, Katikireddi, Srinivasa Vittal, Kaul, Anil, Kawakami, Norito, Kazanjan, Konstantin, Keiyoro, Peter Njenga, Kelbore, Sefonias Getachew, Kemp, Andrew Haddon, Kengne, Andre Pascal, Keren, Andre, Kereselidze, Maia, Kesavachandran, Chandrasekharan Nair, Ketema, Ezra Belay, Khader, Yousef Saleh, Khalil, Ibrahim A., Khan, Ejaz Ahmad, Khan, Gulfaraz, Khang, Young-Ho, Khera, Sahil, Khoja, Abdullah Tawfih Abdullah, Khosravi, Mohammad Hossein, Kibret, Getiye Dejenu, Kieling, Christian, Kim, Cho-Il, Kim, Daniel, Kim, Pauline, Kim, Sungroul, Kim, Yun Jin, Kimokoti, Ruth W., Kinfu, Yohanne, Kishawi, Sami, Kissimova-Skarbek, Katarzyna A., Kissoon, Niranjan, Kivimaki, Mika, Knudsen, Ann Kristin, Kokubo, Yoshihiro, Kopec, Jacek A., Kosen, Soewarta, Koul, Parvaiz A., Koyanagi, Ai, Kravchenko, Michael, Krohn, Kristopher J., Kuate Defo, Barthelemy, Kucuk Bicer, Burcu, Kuipers, Ernst J., Kulikoff, Xie Rachel, Kulkarni, Veena S., Kumar, G. Anil, Kumar, Pushpendra, Kumsa, Fekede Asefa, Kutz, Michael, Lachat, Carl, Lagat, Abraham K., Lager, Anton Carl Jona, Lal, Dharmesh Kumar, Lalloo, Ratilal, Lambert, Nkurunziza, Lan, Qing, Lansingh, Van C., Larson, Heidi J., Larsson, Ander, Laryea, Dennis Odai, Lavados, Pablo M., Laxmaiah, Avula, Lee, Paul H., Leigh, Jame, Leung, Janni, Leung, Ricky, Levi, Miriam, Li, Yongmei, Liao, Yu, Liben, Misgan Legesse, Lim, Stephen S., Linn, Shai, Lipshultz, Steven E., Liu, Shiwei, Lodha, Rakesh, Logroscino, Giancarlo, Lorch, Scott A., Lorkowski, Stefan, Lotufo, Paulo A., Lozano, Rafael, Lunevicius, Raimunda, Lyons, Ronan A., Ma, Stefan, Macarayan, Erlyn Rachelle King, Machado, Isis Eloah, Mackay, Mark T., Magdy Abd El Razek, Mohammed, Magis-Rodriguez, Carlo, Mahdavi, Mahdi, Majdan, Marek, Majdzadeh, Reza, Majeed, Azeem, Malekzadeh, Reza, Malhotra, Rajesh, Malta, Deborah Carvalho, Mantovani, Lorenzo G., Manyazewal, Tsegahun, Mapoma, Chabila C., Marczak, Laurie B., Marks, Guy B., Martinez-Raga, Jose, Martins-Melo, Francisco Rogerlândio, Massano, João, Maulik, Pallab K., Mayosi, Bongani M., Mazidi, Mohsen, McAlinden, Colm, McGarvey, Stephen Theodore, McGrath, John J., McKee, Martin, Mehata, Suresh, Mehndiratta, Man Mohan, Mehta, Kala M., Meier, Toni, Mekonnen, Tefera Chane, Meles, Kidanu Gebremariam, Memiah, Peter, Memish, Ziad A., Mendoza, Walter, Mengesha, Melkamu Merid, Mengistie, Mubarek Abera, Mengistu, Desalegn Tadese, Menon, Geetha R., Menota, Bereket Gebremichael, Mensah, George A., Meretoja, Atte, Meretoja, Tuomo J., Mezgebe, Haftay Berhane, Micha, Renata, Mikesell, Joseph, Miller, Ted R., Mills, Edward J., Minnig, Shawn, Mirarefin, Mojde, Mirrakhimov, Erkin M., Misganaw, Awoke, Mishra, Shiva Raj, Mohammad, Karzan Abdulmuhsin, Mohammadi, Alireza, Mohammed, Kedir Endri, Mohammed, Shafiu, Mohan, Murali B.V., Mohanty, Sanjay K., Mokdad, Ali H., Molla Assaye, Ashagre, Mollenkopf, Sarah K., Molokhia, Mariam, Monasta, Lorenzo, Montañez Hernandez, Julio Cesar, Montico, Marcella, Mooney, Meghan D., Moore, Ami R., Moradi-Lakeh, Maziar, Moraga, Paula, Morawska, Lidia, Moreno Velasquez, Ilai, Mori, Rintaro, Morrison, Shane D., Mruts, Kalayu Birhane, Mueller, Ulrich O., Mullany, Erin, Muller, Kate, Murthy, Gudlavalleti Venkata Satyanarayana, Murthy, Sriniva, Musa, Kamarul Imran, Nachega, Jean B., Nagata, Chie, Nagel, Gabriele, Naghavi, Mohsen, Naidoo, Kovin S., Nanda, Lipika, Nangia, Vinay, Nascimento, Bruno Ramo, Natarajan, Gopalakrishnan, Negoi, Ionut, Nguyen, Cuong Tat, Nguyen, Grant, Nguyen, Quyen Le, Nguyen, Trang Huyen, Ningrum, Dina Nur Anggraini, Nisar, Muhammad Imran, Nomura, Marika, Nong, Vuong Minh, Norheim, Ole F., Norrving, Bo, Noubiap, Jean Jacques N., Nyakarahuka, Luke, Obermeyer, Carla Makhlouf, O'Donnell, Martin J., Ogbo, Felix Akpojene, Oh, In-Hwan, Okoro, Anselm, Oladimeji, Olanrewaju, Olagunju, Andrew Toyin, Olusanya, Bolajoko Olubukunola, Olusanya, Jacob Olusegun, Oren, Eyal, Ortiz, Alberto, Osgood-Zimmerman, Aaron, Ota, Erika, Owolabi, Mayowa O., Oyekale, Abayomi Samuel, Mahesh, P.A., Pacella, Rosana E., Pakhale, Smita, Pana, Adrian, Panda, Basant Kumar, Panda-Jonas, Songhomitra, Park, Eun-Kee, Parsaeian, Mahboubeh, Patel, Teja, Patten, Scott B., Patton, George C., Paudel, Deepak, Pereira, David M., Perez-Padilla, Rogelio, Perez-Ruiz, Fernando, Perico, Norberto, Pervaiz, Aslam, Pesudovs, Konrad, Peterson, Carrie Beth, Petri, William Arthur, Petzold, Max, Phillips, Michael Robert, Piel, Frédéric B., Pigott, David M., Pishgar, Farhad, Plass, Dietrich, Polinder, Suzanne, Popova, Svetlana, Postma, Maarten J., Poulton, Richie G., Pourmalek, Farshad, Prasad, Narayan, Purwar, Manorama, Qorbani, Mostafa, Rabiee, Rynaz H.S., Radfar, Amir, Rafay, Anwar, Rahimi-Movaghar, Afarin, Rahimi-Movaghar, Vafa, Rahman, Mahfuzar, Rahman, Mohammad Hifz Ur, Rahman, Sajjad Ur, Rai, Rajesh Kumar, Rajsic, Sasa, Ram, Usha, Rana, Saleem M., Ranabhat, Chhabi Lal, Rao, Paturi Vishnupriya, Rawaf, Salman, Ray, Sarah E., Rego, Maria Albertina Santiago, Rehm, Jürgen, Reiner, Robert C., Remuzzi, Giuseppe, Renzaho, Andre M.N.N., Resnikoff, Serge, Rezaei, Satar, Rezai, Mohammad Sadegh, Ribeiro, Antonio L., Rokni, Mohammad Bagher, Ronfani, Luca, Roshandel, Gholamreza, Roth, Gregory A., Rothenbacher, Dietrich, Roy, Ambuj, Rubagotti, Enrico, Ruhago, George Mugambage, Saadat, Soheil, Sabde, Yogesh Damodar, Sachdev, Perminder S., Sadat, Nafi, Safdarian, Mahdi, Safi, Sare, Safiri, Saeid, Sagar, Rajesh, Sahathevan, Ramesh, Sahebkar, Amirhossein, Sahraian, Mohammad Ali, Salama, Joseph, Salamati, Payman, Salomon, Joshua A., Salvi, Sundeep Santosh, Samy, Abdallah M., Sanabria, Juan Ramon, Sanchez-Niño, Maria Dolore, Santos, Itamar S., Santric Milicevic, Milena M., Sarmiento-Suarez, Rodrigo, Sartorius, Benn, Satpathy, Maheswar, Sawhney, Monika, Saxena, Sonia, Saylan, Mete I., Schmidt, Maria Inê, Schneider, Ione J.C., Schutte, Aletta E., Schwebel, David C., Schwendicke, Falk, Seedat, Soraya, Seid, Abdulbasit Musa, Sepanlou, Sadaf G., Servan-Mori, Edson E., Shackelford, Katya Anne, Shaheen, Amira, Shahraz, Saeid, Shaikh, Masood Ali, Shamsipour, Mansour, Shamsizadeh, Morteza, Islam, Sheikh Mohammed Shariful, Sharma, Jayendra, Sharma, Rajesh, She, Jun, Shen, Jiabin, Shetty, Balakrishna P., Shi, Peilin, Shibuya, Kenji, Shigematsu, Mika, Shiri, Rahman, Shiue, Ivy, Shrime, Mark G., Sigfusdottir, Inga Dora, Silberberg, Donald H., Silpakit, Nari, Silva, Diego Augusto Santo, Silva, João Pedro, Silveira, Dayane Gabriele Alve, Sindi, Shireen, Singh, Abhishek, Singh, Jasvinder A., Singh, Prashant Kumar, Singh, Virendra, Sinha, Dhirendra Narain, Skiadaresi, Eirini, Sligar, Amber, Smith, David L., Sobaih, Badr H.A., Sobngwi, Eugene, Soneji, Samir, Soriano, Joan B., Sreeramareddy, Chandrashekhar T., Srinivasan, Vinay, Stathopoulou, Vasiliki, Steel, Nichola, Stein, Dan J., Steiner, Caitlyn, Stöckl, Heidi, Stokes, Mark Andrew, Strong, Mark, Sufiyan, Muawiyyah Babale, Suliankatchi, Rizwan Abdulkader, Sunguya, Bruno F., Sur, Patrick J., Swaminathan, Soumya, Sykes, Bryan L., Szoeke, Cassandra E.I., Tabarés-Seisdedos, Rafael, Tadakamadla, Santosh Kumar, Tadese, Fentaw, Tandon, Nikhil, Tanne, David, Tarajia, Musharaf, Tavakkoli, Mohammad, Taveira, Nuno, Tehrani-Banihashemi, Arash, Tekelab, Tesfalidet, Tekle, Dejen Yemane, Temam Shifa, Girma, Temsah, Mohamad-Hani, Terkawi, Abdullah Sulieman, Tesema, Cheru Leshargie, Tesssema, Belay, Theis, Andrew, Thomas, Nihal, Thompson, Alex H., Thomson, Alan J., Thrift, Amanda G., Tiruye, Tenaw Yimer, Tobe-Gai, Ruoyan, Tonelli, Marcello, Topor-Madry, Roman, Topouzis, Foti, Tortajada, Miguel, Tran, Bach Xuan, Truelsen, Thoma, Trujillo, Ulise, Tsilimparis, Nikolao, Tuem, Kald Beshir, Tuzcu, Emin Murat, Tyrovolas, Stefano, Ukwaja, Kingsley Nnanna, Undurraga, Eduardo A., Uthman, Olalekan A., Uzochukwu, Benjamin S. Chudi, Van Boven, Job F.M., Varakin, Yuri Y., Varughese, Santosh, Vasankari, Tommi, Vasconcelos, Ana Maria Nogale, Venketasubramanian, Narayanaswamy, Vidavalur, Ramesh, Violante, Francesco S., Vishnu, Abhishek, Vladimirov, Sergey K., Vlassov, Vasiliy Victorovich, Vollset, Stein Emil, Vos, Theo, Waid, Jillian L., Wakayo, Tolassa, Wang, Yuan-Pang, Weichenthal, Scott, Weiderpass, Elisabete, Weintraub, Robert G., Werdecker, Andrea, Wesana, Joshua, Wijeratne, Tissa, Wilkinson, James D., Wiysonge, Charles Shey, Woldeyes, Belete Getahun, Wolfe, Charles D.A., Workicho, Abdulhalik, Workie, Shimelash Bitew, Xavier, Deni, Xu, Gelin, Yaghoubi, Mohsen, Yakob, Bereket, Yalew, Ayalnesh Zemene, Yan, Lijing L., Yano, Yuichiro, Yaseri, Mehdi, Ye, Pengpeng, Yimam, Hassen Hamid, Yip, Paul, Yirsaw, Biruck Desalegn, Yonemoto, Naohiro, Yoon, Seok-Jun, Yotebieng, Marcel, Younis, Mustafa Z., Zaidi, Zoubida, El Sayed Zaki, Maysaa, Zeeb, Hajo, Zenebe, Zerihun Menlkalew, Zerfu, Taddese Alemu, Zhang, Anthony Lin, Zhang, Xueying, Zodpey, Sanjay, Zuhlke, Liesl Joanna, Lopez, Alan D., Murray, Christopher J.L., Wang, H, Abajobir, A, Abate, K, Abbafati, C, Abbas, K, Abd-Allah, F, Abera, S, Abraha, H, Abu-Raddad, L, Abu-Rmeileh, N, Adedeji, I, Adedoyin, R, Adetifa, I, Adetokunboh, O, Afshin, A, Aggarwal, R, Agrawal, A, Agrawal, S, Ahmad Kiadaliri, A, Ahmed, M, Aichour, A, Aichour, I, Aichour, M, Aiyar, S, Akanda, A, Akinyemiju, T, Akseer, N, Al-Eyadhy, A, Al Lami, F, Alabed, S, Alahdab, F, Al-Aly, Z, Alam, K, Alam, N, Alasfoor, D, Aldridge, R, Alene, K, Alhabib, S, Ali, R, Alizadeh-Navaei, R, Aljunid, S, Alkaabi, J, Alkerwi, A, Alla, F, Allam, S, Allebeck, P, Al-Raddadi, R, Alsharif, U, Altirkawi, K, Martin, E, Alvis-Guzman, N, Amare, A, Ameh, E, Amini, E, Ammar, W, Amoako, Y, Anber, N, Andrei, C, Androudi, S, Ansari, H, Ansha, M, Antonio, C, Anwari, P, Ärnlöv, J, Arora, M, Artaman, A, Aryal, K, Asayesh, H, Asgedom, S, Asghar, R, Assadi, R, Atey, T, Atre, S, Avila-Burgos, L, Avokpaho, E, Awasthi, A, Ayala Quintanilla, B, Babalola, T, Bacha, U, Badawi, A, Balakrishnan, K, Balalla, S, Barac, A, Barber, R, Barboza, M, Barker-Collo, S, Bärnighausen, T, Barquera, S, Barregard, L, Barrero, L, Baune, B, Bazargan-Hejazi, S, Bedi, N, Beghi, E, Béjot, Y, Bekele, B, Bell, M, Bello, A, Bennett, D, Bennett, J, Bensenor, I, Benson, J, Berhane, A, Berhe, D, Bernabé, E, Beuran, M, Beyene, A, Bhala, N, Bhansali, A, Bhaumik, S, Bhutta, Z, Bikbov, B, Birungi, C, Biryukov, S, Bisanzio, D, Bizuayehu, H, Bjerregaard, P, Blosser, C, Boneya, D, Boufous, S, Bourne, R, Brazinova, A, Breitborde, N, Brenner, H, Brugha, T, Bukhman, G, Bulto, L, Bumgarner, B, Burch, M, Butt, Z, Cahill, L, Cahuana-Hurtado, L, Campos-Nonato, I, Car, J, Car, M, Cárdenas, R, Carpenter, D, Carrero, J, Carter, A, Castañeda-Orjuela, C, Castillo Rivas, J, Castro, F, Castro, R, Catalá-López, F, Chen, H, Chiang, P, Chibalabala, M, Chisumpa, V, Chitheer, A, Choi, J, Christensen, H, Christopher, D, Ciobanu, L, Cirillo, M, Cohen, A, Colquhoun, S, Coresh, J, Criqui, M, Cromwell, E, Crump, J, Dandona, L, Dandona, R, Dargan, P, Das Neves, J, Davey, G, Davitoiu, D, Davletov, K, De Courten, B, De Leo, D, Degenhardt, L, Deiparine, S, Dellavalle, R, Deribe, K, Deribew, A, Des Jarlais, D, Dey, S, Dharmaratne, S, Dherani, M, Diaz-Torné, C, Ding, E, Dixit, P, Djalalinia, S, Do, H, Doku, D, Donnelly, C, Dos Santos, K, Douwes-Schultz, D, Driscoll, T, Duan, L, Dubey, M, Duncan, B, Dwivedi, L, Ebrahimi, H, El Bcheraoui, C, Ellingsen, C, Enayati, A, Endries, A, Ermakov, S, Eshetie, S, Eshrati, B, Eskandarieh, S, Esteghamati, A, Estep, K, Fanuel, F, Faro, A, Farvid, M, Farzadfar, F, Feigin, V, Fereshtehnejad, S, Fernandes, J, Feyissa, T, Filip, I, Fischer, F, Foigt, N, Foreman, K, Frank, T, Franklin, R, Fraser, M, Friedman, J, Frostad, J, Fullman, N, Fürst, T, Furtado, J, Futran, N, Gakidou, E, Gambashidze, K, Gamkrelidze, A, Gankpé, F, Garcia-Basteiro, A, Gebregergs, G, Gebrehiwot, T, Gebrekidan, K, Gebremichael, M, Gelaye, A, Geleijnse, J, Gemechu, B, Gemechu, K, Genova-Maleras, R, Gesesew, H, Gething, P, Gibney, K, Gill, P, Gillum, R, Giref, A, Girma, B, Giussani, G, Goenka, S, Gomez, B, Gona, P, Gopalani, S, Goulart, A, Graetz, N, Gugnani, H, Gupta, P, Gupta, R, Gupta, T, Gupta, V, Haagsma, J, Hafezi-Nejad, N, Haghparast Bidgoli, H, Hakuzimana, A, Halasa, Y, Hamadeh, R, Hambisa, M, Hamidi, S, Hammami, M, Hancock, J, Handal, A, Hankey, G, Hao, Y, Harb, H, Hareri, H, Harikrishnan, S, Haro, J, Hassanvand, M, Havmoeller, R, Hay, R, Hay, S, He, F, Heredia-Pi, I, Herteliu, C, Hilawe, E, Hoek, H, Horita, N, Hosgood, H, Hostiuc, S, Hotez, P, Hoy, D, Hsairi, M, Htet, A, Hu, G, Huang, H, Huang, J, Iburg, K, Igumbor, E, Ileanu, B, Inoue, M, Irenso, A, Irvine, C, Islam, N, Jacobsen, K, Jaenisch, T, Jahanmehr, N, Jakovljevic, M, Javanbakht, M, Jayatilleke, A, Jeemon, P, Jensen, P, Jha, V, Jin, Y, John, D, John, O, Johnson, S, Jonas, J, Jürisson, M, Kabir, Z, Kadel, R, Kahsay, A, Kalkonde, Y, Kamal, R, Kan, H, Karch, A, Karema, C, Karimi, S, Karthikeyan, G, Kasaeian, A, Kassaw, N, Kassebaum, N, Kastor, A, Katikireddi, S, Kaul, A, Kawakami, N, Kazanjan, K, Keiyoro, P, Kelbore, S, Kemp, A, Kengne, A, Keren, A, Kereselidze, M, Kesavachandran, C, Ketema, E, Khader, Y, Khalil, I, Khan, E, Khan, G, Khang, Y, Khera, S, Khoja, A, Khosravi, M, Kibret, G, Kieling, C, Kim, C, Kim, D, Kim, P, Kim, S, Kim, Y, Kimokoti, R, Kinfu, Y, Kishawi, S, Kissimova-Skarbek, K, Kissoon, N, Kivimaki, M, Knudsen, A, Kokubo, Y, Kopec, J, Kosen, S, Koul, P, Koyanagi, A, Kravchenko, M, Krohn, K, Kuate Defo, B, Kucuk Bicer, B, Kuipers, E, Kulikoff, X, Kulkarni, V, Kumar, G, Kumar, P, Kumsa, F, Kutz, M, Lachat, C, Lagat, A, Lager, A, Lal, D, Lalloo, R, Lambert, N, Lan, Q, Van Lansingh, C, Larson, H, Larsson, A, Laryea, D, Lavados, P, Laxmaiah, A, Lee, P, Leigh, J, Leung, J, Leung, R, Levi, M, Li, Y, Liao, Y, Liben, M, Lim, S, Linn, S, Lipshultz, S, Liu, S, Lodha, R, Logroscino, G, Lorch, S, Lorkowski, S, Lotufo, P, Lozano, R, Lunevicius, R, Lyons, R, Ma, S, Macarayan, E, Machado, I, Mackay, M, Magdy Abd El Razek, M, Magis-Rodriguez, C, Mahdavi, M, Majdan, M, Majdzadeh, R, Majeed, A, Malekzadeh, R, Malhotra, R, Malta, D, Mantovani, L, Manyazewal, T, Mapoma, C, Marczak, L, Marks, G, Martinez-Raga, J, Martins-Melo, F, Massano, J, Maulik, P, Mayosi, B, Mazidi, M, Mcalinden, C, Mcgarvey, S, Mcgrath, J, Mckee, M, Mehata, S, Mehndiratta, M, Mehta, K, Meier, T, Mekonnen, T, Meles, K, Memiah, P, Memish, Z, Mendoza, W, Mengesha, M, Mengistie, M, Mengistu, D, Menon, G, Menota, B, Mensah, G, Meretoja, A, Meretoja, T, Mezgebe, H, Micha, R, Mikesell, J, Miller, T, Mills, E, Minnig, S, Mirarefin, M, Mirrakhimov, E, Misganaw, A, Mishra, S, Mohammad, K, Mohammadi, A, Mohammed, K, Mohammed, S, Mohan, M, Mohanty, S, Mokdad, A, Molla Assaye, A, Mollenkopf, S, Molokhia, M, Monasta, L, Montañez Hernandez, J, Montico, M, Mooney, M, Moore, A, Moradi-Lakeh, M, Moraga, P, Morawska, L, Moreno Velasquez, I, Mori, R, Morrison, S, Mruts, K, Mueller, U, Mullany, E, Muller, K, Murthy, G, Murthy, S, Musa, K, Nachega, J, Nagata, C, Nagel, G, Naghavi, M, Naidoo, K, Nanda, L, Nangia, V, Nascimento, B, Natarajan, G, Negoi, I, Nguyen, C, Nguyen, G, Nguyen, Q, Nguyen, T, Ningrum, D, Nisar, M, Nomura, M, Nong, V, Norheim, O, Norrving, B, Noubiap, J, Nyakarahuka, L, Obermeyer, C, O'Donnell, M, Ogbo, F, Oh, I, Okoro, A, Oladimeji, O, Olagunju, A, Olusanya, B, Olusanya, J, Oren, E, Ortiz, A, Osgood-Zimmerman, A, Ota, E, Owolabi, M, Oyekale, A, Mahesh, P, Pacella, R, Pakhale, S, Pana, A, Panda, B, Panda-Jonas, S, Park, E, Parsaeian, M, Patel, T, Patten, S, Patton, G, Paudel, D, Pereira, D, Perez-Padilla, R, Perez-Ruiz, F, Perico, N, Pervaiz, A, Pesudovs, K, Peterson, C, Petri, W, Petzold, M, Phillips, M, Piel, F, Pigott, D, Pishgar, F, Plass, D, Polinder, S, Popova, S, Postma, M, Poulton, R, Pourmalek, F, Prasad, N, Purwar, M, Qorbani, M, Rabiee, R, Radfar, A, Rafay, A, Rahimi-Movaghar, A, Rahimi-Movaghar, V, Rahman, M, Rahman, S, Rai, R, Rajsic, S, Ram, U, Rana, S, Ranabhat, C, Rao, P, Rawaf, S, Ray, S, Rego, M, Rehm, J, Reiner, R, Remuzzi, G, Renzaho, A, Resnikoff, S, Rezaei, S, Rezai, M, Ribeiro, A, Rokni, M, Ronfani, L, Roshandel, G, Roth, G, Rothenbacher, D, Roy, A, Rubagotti, E, Ruhago, G, Saadat, S, Sabde, Y, Sachdev, P, Sadat, N, Safdarian, M, Safi, S, Safiri, S, Sagar, R, Sahathevan, R, Sahebkar, A, Sahraian, M, Salama, J, Salamati, P, Salomon, J, Salvi, S, Samy, A, Sanabria, J, Sanchez-Niño, M, Santos, I, Santric Milicevic, M, Sarmiento-Suarez, R, Sartorius, B, Satpathy, M, Sawhney, M, Saxena, S, Saylan, M, Schmidt, M, Schneider, I, Schutte, A, Schwebel, D, Schwendicke, F, Seedat, S, Seid, A, Sepanlou, S, Servan-Mori, E, Shackelford, K, Shaheen, A, Shahraz, S, Shaikh, M, Shamsipour, M, Shamsizadeh, M, Islam, S, Sharma, J, Sharma, R, She, J, Shen, J, Shetty, B, Shi, P, Shibuya, K, Shigematsu, M, Shiri, R, Shiue, I, Shrime, M, Sigfusdottir, I, Silberberg, D, Silpakit, N, Silva, D, Silva, J, Silveira, D, Sindi, S, Singh, A, Singh, J, Singh, P, Singh, V, Sinha, D, Skiadaresi, E, Sligar, A, Smith, D, Sobaih, B, Sobngwi, E, Soneji, S, Soriano, J, Sreeramareddy, C, Srinivasan, V, Stathopoulou, V, Steel, N, Stein, D, Steiner, C, Stöckl, H, Stokes, M, Strong, M, Sufiyan, M, Suliankatchi, R, Sunguya, B, Sur, P, Swaminathan, S, Sykes, B, Szoeke, C, Tabarés-Seisdedos, R, Tadakamadla, S, Tadese, F, Tandon, N, Tanne, D, Tarajia, M, Tavakkoli, M, Taveira, N, Tehrani-Banihashemi, A, Tekelab, T, Tekle, D, Temam Shifa, G, Temsah, M, Terkawi, A, Tesema, C, Tesssema, B, Theis, A, Thomas, N, Thompson, A, Thomson, A, Thrift, A, Tiruye, T, Tobe-Gai, R, Tonelli, M, Topor-Madry, R, Topouzis, F, Tortajada, M, Tran, B, Truelsen, T, Trujillo, U, Tsilimparis, N, Tuem, K, Tuzcu, E, Tyrovolas, S, Ukwaja, K, Undurraga, E, Uthman, O, Uzochukwu, B, Van Boven, J, Varakin, Y, Varughese, S, Vasankari, T, Vasconcelos, A, Venketasubramanian, N, Vidavalur, R, Violante, F, Vishnu, A, Vladimirov, S, Vlassov, V, Vollset, S, Vos, T, Waid, J, Wakayo, T, Wang, Y, Weichenthal, S, Weiderpass, E, Weintraub, R, Werdecker, A, Wesana, J, Wijeratne, T, Wilkinson, J, Wiysonge, C, Woldeyes, B, Wolfe, C, Workicho, A, Workie, S, Xavier, D, Xu, G, Yaghoubi, M, Yakob, B, Yalew, A, Yan, L, Yano, Y, Yaseri, M, Ye, P, Yimam, H, Yip, P, Yirsaw, B, Yonemoto, N, Yoon, S, Yotebieng, M, Younis, M, Zaidi, Z, El Sayed Zaki, M, Zeeb, H, Zenebe, Z, Zerfu, T, Zhang, A, Zhang, X, Zodpey, S, Zuhlke, L, Lopez, A, Murray, C, Erasmus MC other, Emergency Medicine, Rehabilitation Medicine, Gastroenterology & Hepatology, Public Health, and Neurology
- Subjects
Dánarmein ,Heilsufar ,Dánartíðni ,Lífslíkur ,Epidemiology ,Aldurshópar ,ALCOHOL ,Börn ,Medicine and Health Sciences ,Psychology ,DEVELOPING-COUNTRIES ,Children ,Konur ,Ungbörn ,Tölfræði ,Educational status ,Aldraðir ,Medicine (all) ,Global burden of disease/statistics and numerical data ,DEATH ,Men ,Þjóðir ,Staðtölur ,Stillbirth ,Sálfræði ,World health ,SURVIVAL ,Income ,CHILD-MORTALITY ,HEALTH ,Burðarmálsdauði ,Infants ,Age distribution ,HIV infections ,Child mortality ,Alnæmi ,Menntun ,GBD ,Fæðingartíðni ,RUSSIAN MORTALITY ,Birth rate ,Life Expectancy ,SDG 3 - Good Health and Well-being ,Women ,Mortality ,METAANALYSIS ,Faraldsfræði ,HIV ,Frjósemi ,Fertility ,Socioeconomic Factors ,Karlar ,Barnadauði ,Félagshagfræði ,Tekjur ,Older people ,Cause of death/trends ,RA - Abstract
Correction in: Group Author(s): GBD 2016 Mortality Collaborators LANCET Volume: 390 Issue: 10106 Pages: E38-E38 Published: OCT 28 2017, Background Detailed assessments of mortality patterns, particularly age-specific mortality, represent a crucial input that enables health systems to target interventions to specific populations. Understanding how all-cause mortality has changed with respect to development status can identify exemplars for best practice. To accomplish this, the Global Burden of Diseases, Injuries, and Risk Factors Study 2016 (GBD 2016) estimated age-specific and sex-specific all-cause mortality between 1970 and 2016 for 195 countries and territories and at the subnational level for the five countries with a population greater than 200 million in 2016. Methods We have evaluated how well civil registration systems captured deaths using a set of demographic methods called death distribution methods for adults and from consideration of survey and census data for children younger than 5 years. We generated an overall assessment of completeness of registration of deaths by dividing registered deaths in each location-year by our estimate of all-age deaths generated from our overall estimation process. For 163 locations, including subnational units in countries with a population greater than 200 million with complete vital registration (VR) systems, our estimates were largely driven by the observed data, with corrections for small fluctuations in numbers and estimation for recent years where there were lags in data reporting (lags were variable by location, generally between 1 year and 6 years). For other locations, we took advantage of different data sources available to measure under-5 mortality rates (U5MR) using complete birth histories, summary birth histories, and incomplete VR with adjustments; we measured adult mortality rate (the probability of death in individuals aged 15-60 years) using adjusted incomplete VR, sibling histories, and household death recall. We used the U5MR and adult mortality rate, together with crude death rate due to HIV in the GBD model life table system, to estimate age-specific and sex-specific death rates for each location-year. Using various international databases, we identified fatal discontinuities, which we defined as increases in the death rate of more than one death per million, resulting from conflict and terrorism, natural disasters, major transport or technological accidents, and a subset of epidemic infectious diseases; these were added to estimates in the relevant years. In 47 countries with an identified peak adult prevalence for HIV/AIDS of more than 0.5% and where VR systems were less than 65% complete, we informed our estimates of age-sex-specific mortality using the Estimation and Projection Package (EPP)-Spectrum model fitted to national HIV/AIDS prevalence surveys and antenatal clinic serosurveillance systems. We estimated stillbirths, early neonatal, late neonatal, and childhood mortality using both survey and VR data in spatiotemporal Gaussian process regression models. We estimated abridged life tables for all location-years using age-specific death rates. We grouped locations into development quintiles based on the Sociodemographic Index (SDI) and analysed mortality trends by quintile. Using spline regression, we estimated the expected mortality rate for each age-sex group as a function of SDI. We identified countries with higher life expectancy than expected by comparing observed life expectancy to anticipated life expectancy on the basis of development status alone. Findings Completeness in the registration of deaths increased from 28% in 1970 to a peak of 45% in 2013; completeness was lower after 2013 because of lags in reporting. Total deaths in children younger than 5 years decreased from 1970 to 2016, and slower decreases occurred at ages 5-24 years. By contrast, numbers of adult deaths increased in each 5-year age bracket above the age of 25 years. The distribution of annualised rates of change in age-specific mortality rate differed over the period 2000 to 2016 compared with earlier decades: increasing annualised rates of change were less frequent, although rising annualised rates of change still occurred in some locations, particularly for adolescent and younger adult age groups. Rates of stillbirths and under-5 mortality both decreased globally from 1970. Evidence for global convergence of death rates was mixed; although the absolute difference between age-standardised death rates narrowed between countries at the lowest and highest levels of SDI, the ratio of these death rates-a measure of relative inequality-increased slightly. There was a strong shift between 1970 and 2016 toward higher life expectancy, most noticeably at higher levels of SDI. Among countries with populations greater than 1 million in 2016, life expectancy at birth was highest for women in Japan, at 86.9 years (95% UI 86.7-87.2), and for men in Singapore, at 81.3 years (78.8-83.7) in 2016. Male life expectancy was generally lower than female life expectancy between 1970 and 2016, and the gap between male and female life expectancy increased with progression to higher levels of SDI. Some countries with exceptional health performance in 1990 in terms of the difference in observed to expected life expectancy at birth had slower progress on the same measure in 2016. Interpretation Globally, mortality rates have decreased across all age groups over the past five decades, with the largest improvements occurring among children younger than 5 years. However, at the national level, considerable heterogeneity remains in terms of both level and rate of changes in age-specific mortality; increases in mortality for certain age groups occurred in some locations. We found evidence that the absolute gap between countries in age-specific death rates has declined, although the relative gap for some age-sex groups increased. Countries that now lead in terms of having higher observed life expectancy than that expected on the basis of development alone, or locations that have either increased this advantage or rapidly decreased the deficit from expected levels, could provide insight into the means to accelerate progress in nations where progress has stalled., Bill & Melinda Gates Foundation, and the National Institute on Aging and the National Institute of Mental Health of the National Institutes of Health.
- Published
- 2017
22. ArboTracker: a multipathogen dashboard and data platform for arbovirus seroprevalence studies.
- Author
-
Whelan MG, Ware H, Ranka H, Kenny S, Shaikh S, Roell Y, Akter S, Selemon A, Toews E, Chu M, Bobrovitz N, Arora RK, and Jaenisch T
- Abstract
Competing Interests: RKA and TJ are joint final authors. MGW, HW, HR, SK, SS, AS, ET, NB, and RKA report funding for this project from the University of Calgary (Transdisciplinary Connector Grant), Canadian Institutes of Health Research, and the Public Health Agency of Canada (through Canada's COVID-19 Immunity Task Force, 2021-HQ-00056). MGW, HW, HR, SK, SS, AS, ET, NB, and RKA report additional separate funding from the Canadian Medical Association Joule Innovation Fund, WHO, the Robert Koch Institute, and the Food and Agriculture Organization of the United Nations. RKA is employed at OpenAI and receives equity compensation as part of the standard compensation package; RKA was also previously a venture fellow at Flagship Pioneering, minority shareholder of Alethea Medical, and has received funding from the Rhodes Trust and Open Philanthropy. YR, SA, TJ, and MC report funding for this project from European Commission ReCoDID and Contagio grants (EC/825746 and EC/101137283). YR, TJ, and MC report additional funding, unrelated to this project, from the Bill & Melinda Gates Foundation Serosurveillance Grant (GATES/INV-039656) and the Center for Disease Control Air Quality Contract (CDC/75D30123C17606). TJ and SA report funding for this project from the German Research Foundation (grant number 451956976). We thank our talented research team and many alumni of the SeroTracker group, as well as the team working at the Universities of Heidelberg and Colorado. We also thank colleagues at WHO, attendees of the ReCoDID/CONTAGIO meeting held in Heidelberg in 2023, collaborators at the emeritus COVID-19 Immunity Task Force, and colleagues affiliated with the Centre for Health Informatics for helpful discussions. We are also grateful for the support and mentorship of leadership and operations staff at the UCalgary Centre for Health Informatics. This Correspondence does not necessarily reflect the views of WHO or any other funder.
- Published
- 2024
- Full Text
- View/download PDF
23. Challenges and Approaches to Establishing Multi-Pathogen Serosurveillance: Findings from the 2023 Serosurveillance Summit.
- Author
-
Carcelen AC, Kong AC, Takahashi S, Hegde S, Jaenisch T, Chu M, Rochford R, Kostandova N, Gurley ES, Wesolowski A, Azman AS, van der Klis FRM, den Hartog G, Drakeley C, Heaney C, Winter AK, Salje H, Rodriguez-Barraquer I, Leung DT, Njenga SM, Kagucia EW, Jambo KC, Wolter N, Charles RC, Saboyá-Díaz MI, Martin DL, and Moss WJ
- Abstract
Multiplex-based serological surveillance is a valuable but underutilized tool to understand gaps in population-level exposure, susceptibility, and immunity to infectious diseases. Assays for which blood samples can be tested for antibodies against several pathogens simultaneously, such as multiplex bead immunoassays, can more efficiently integrate public health surveillance in low- and middle-income countries. On March 7-8, 2023 a group of experts representing research institutions, multilateral organizations, private industry, and country partners met to discuss experiences, identify challenges and solutions, and create a community of practice for integrated, multi-pathogen serosurveillance using multiplex bead assay technologies. Participants were divided into six working groups: 1) supply chain; 2) laboratory assays; 3) seroepidemiology; 4) data analytics; 5) sustainable implementation; and 6) use case scenarios. These working groups discussed experiences, challenges, solutions, and research needs to facilitate integrated, multi-pathogen serosurveillance for public health. Several solutions were proposed to address challenges that cut across working groups.
- Published
- 2024
- Full Text
- View/download PDF
24. Correction: Pooled Cohort Profile: ReCoDID Consortium's Harmonized Acute Febrile Illness Arbovirus Meta-Cohort.
- Author
-
Gómez G, Hufstedler H, Montenegro Morales C, Roell Y, Lozano-Parra A, Tami A, Magalhaes T, Marques ETA, Balmaseda A, Calvet G, Harris E, Brasil P, Herrera V, Villar L, Maxwell L, and Jaenisch T
- Abstract
[This corrects the article DOI: 10.2196/54281.]., (©Gustavo Gómez, Heather Hufstedler, Carlos Montenegro Morales, Yannik Roell, Anyela Lozano-Parra, Adriana Tami, Tereza Magalhaes, Ernesto T A Marques, Angel Balmaseda, Guilherme Calvet, Eva Harris, Patricia Brasil, Victor Herrera, Luis Villar, Lauren Maxwell, Thomas Jaenisch, ReCoDID Arbovirus harmonization study group ReCoDID Arbovirus harmonization study group. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 30.07.2024.)
- Published
- 2024
- Full Text
- View/download PDF
25. Pooled Cohort Profile: ReCoDID Consortium's Harmonized Acute Febrile Illness Arbovirus Meta-Cohort.
- Author
-
Gómez G, Hufstedler H, Montenegro Morales C, Roell Y, Lozano-Parra A, Tami A, Magalhaes T, Marques ETA, Balmaseda A, Calvet G, Harris E, Brasil P, Herrera V, Villar L, Maxwell L, and Jaenisch T
- Subjects
- Humans, Cohort Studies, Latin America epidemiology, Male, Female, Child, Arboviruses, Retrospective Studies, Adolescent, Child, Preschool, Adult, Arbovirus Infections epidemiology
- Abstract
Infectious disease (ID) cohorts are key to advancing public health surveillance, public policies, and pandemic responses. Unfortunately, ID cohorts often lack funding to store and share clinical-epidemiological (CE) data and high-dimensional laboratory (HDL) data long term, which is evident when the link between these data elements is not kept up to date. This becomes particularly apparent when smaller cohorts fail to successfully address the initial scientific objectives due to limited case numbers, which also limits the potential to pool these studies to monitor long-term cross-disease interactions within and across populations. CE data from 9 arbovirus (arthropod-borne viruses) cohorts in Latin America were retrospectively harmonized using the Maelstrom Research methodology and standardized to Clinical Data Interchange Standards Consortium (CDISC). We created a harmonized and standardized meta-cohort that contains CE and HDL data from 9 arbovirus studies from Latin America. To facilitate advancements in cross-population inference and reuse of cohort data, the Reconciliation of Cohort Data for Infectious Diseases (ReCoDID) Consortium harmonized and standardized CE and HDL from 9 arbovirus cohorts into 1 meta-cohort. Interested parties will be able to access data dictionaries that include information on variables across the data sets via Bio Studies. After consultation with each cohort, linked harmonized and curated human cohort data (CE and HDL) will be made accessible through the European Genome-phenome Archive platform to data users after their requests are evaluated by the ReCoDID Data Access Committee. This meta-cohort can facilitate various joint research projects (eg, on immunological interactions between sequential flavivirus infections and for the evaluation of potential biomarkers for severe arboviral disease)., (©Gustavo Gómez, Heather Hufstedler, Carlos Montenegro Morales, Yannik Roell, Anyela Lozano-Parra, Adriana Tami, Tereza Magalhaes, Ernesto T A Marques, Angel Balmaseda, Guilherme Calvet, Eva Harris, Patricia Brasil, Victor Herrera, Luis Villar, Lauren Maxwell, Thomas Jaenisch, ReCoDID Arbovirus harmonization study group. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 23.07.2024.)
- Published
- 2024
- Full Text
- View/download PDF
26. Dengue viremia kinetics and effects on platelet count and clinical outcomes: An analysis of 2340 patients from Vietnam.
- Author
-
Vuong NL, Quyen NTH, Tien NTH, Duong Thi Hue K, Duyen HTL, Lam PK, Tam DTH, Van Ngoc T, Jaenisch T, Simmons CP, Yacoub S, Wills BA, and Geskus R
- Subjects
- Humans, Vietnam epidemiology, Platelet Count, Male, Female, Adult, Kinetics, Middle Aged, Dengue Virus, Young Adult, Adolescent, Viremia blood, Dengue blood, Dengue epidemiology
- Abstract
Background: Viremia is a critical factor in understanding the pathogenesis of dengue infection, but limited data exist on viremia kinetics. This study aimed to investigate the kinetics of viremia and its effects on subsequent platelet count, severe dengue, and plasma leakage., Methods: We pooled data from three studies conducted in Vietnam between 2000 and 2016, involving 2340 dengue patients with daily viremia measurements and platelet counts after symptom onset. Viremia kinetics were assessed using a random effects model that accounted for left-censored data. The effects of viremia on subsequent platelet count and clinical outcomes were examined using a landmark approach with a random effects model and logistic regression model with generalized estimating equations, respectively. The rate of viremia decline was derived from the model of viremia kinetics. Its effect on the clinical outcomes was assessed by logistic regression models., Results: Viremia levels rapidly decreased following symptom onset, with variations observed depending on the infecting serotype. DENV-1 exhibited the highest mean viremia levels during the first 5-6 days, while DENV-4 demonstrated the shortest clearance time. Higher viremia levels were associated with decreased subsequent platelet counts from day 6 onwards. Elevated viremia levels on each illness day increased the risk of developing severe dengue and plasma leakage. However, the effect size decreased with later illness days. A more rapid decline in viremia is associated with a reduced risk of the clinical outcomes., Conclusions: This study provides comprehensive insights into viremia kinetics and its effect on subsequent platelet count and clinical outcomes in dengue patients. Our findings underscore the importance of measuring viremia levels during the early febrile phase for dengue studies and support the use of viremia kinetics as outcome for phase-2 dengue therapeutic trials., Funding: Wellcome Trust and European Union Seventh Framework Programme., Competing Interests: NV, NQ, NT, KD, HD, PL, DT, TV, CS, RG No competing interests declared, TJ reports receiving personal fees as members of the Roche Pharmaceuticals Advisory Board on Severe Dengue, outside the submitted work, SY reports receiving personal honorarium for attending the Novartis dengue drug ad board meeting and Takeda dengue education symposium, outside the submitted work, BW reports receiving personal fees (a) as a member of the Roche Advisory Board on Severe Dengue and (b) as a member of the Data Monitoring and Adjudication Committees for the Takeda dengue vaccine trials, both outside the remit of the submitted work, (© 2024, Vuong et al.)
- Published
- 2024
- Full Text
- View/download PDF
27. Creation of Standardized Common Data Elements for Diagnostic Tests in Infectious Disease Studies: Semantic and Syntactic Mapping.
- Author
-
Stellmach C, Hopff SM, Jaenisch T, Nunes de Miranda SM, and Rinaldi E
- Subjects
- Humans, Common Data Elements, Communicable Diseases diagnosis, Semantics
- Abstract
Background: It is necessary to harmonize and standardize data variables used in case report forms (CRFs) of clinical studies to facilitate the merging and sharing of the collected patient data across several clinical studies. This is particularly true for clinical studies that focus on infectious diseases. Public health may be highly dependent on the findings of such studies. Hence, there is an elevated urgency to generate meaningful, reliable insights, ideally based on a high sample number and quality data. The implementation of core data elements and the incorporation of interoperability standards can facilitate the creation of harmonized clinical data sets., Objective: This study's objective was to compare, harmonize, and standardize variables focused on diagnostic tests used as part of CRFs in 6 international clinical studies of infectious diseases in order to, ultimately, then make available the panstudy common data elements (CDEs) for ongoing and future studies to foster interoperability and comparability of collected data across trials., Methods: We reviewed and compared the metadata that comprised the CRFs used for data collection in and across all 6 infectious disease studies under consideration in order to identify CDEs. We examined the availability of international semantic standard codes within the Systemized Nomenclature of Medicine - Clinical Terms, the National Cancer Institute Thesaurus, and the Logical Observation Identifiers Names and Codes system for the unambiguous representation of diagnostic testing information that makes up the CDEs. We then proposed 2 data models that incorporate semantic and syntactic standards for the identified CDEs., Results: Of 216 variables that were considered in the scope of the analysis, we identified 11 CDEs to describe diagnostic tests (in particular, serology and sequencing) for infectious diseases: viral lineage/clade; test date, type, performer, and manufacturer; target gene; quantitative and qualitative results; and specimen identifier, type, and collection date., Conclusions: The identification of CDEs for infectious diseases is the first step in facilitating the exchange and possible merging of a subset of data across clinical studies (and with that, large research projects) for possible shared analysis to increase the power of findings. The path to harmonization and standardization of clinical study data in the interest of interoperability can be paved in 2 ways. First, a map to standard terminologies ensures that each data element's (variable's) definition is unambiguous and that it has a single, unique interpretation across studies. Second, the exchange of these data is assisted by "wrapping" them in a standard exchange format, such as Fast Health care Interoperability Resources or the Clinical Data Interchange Standards Consortium's Clinical Data Acquisition Standards Harmonization Model., (©Caroline Stellmach, Sina Marie Hopff, Thomas Jaenisch, Susana Marina Nunes de Miranda, Eugenia Rinaldi, The NAPKON, LEOSS, ORCHESTRA, and ReCoDID Working Groups. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 10.06.2024.)
- Published
- 2024
- Full Text
- View/download PDF
28. Application of causal inference methods in individual-participant data meta-analyses in medicine: addressing data handling and reporting gaps with new proposed reporting guidelines.
- Author
-
Hufstedler H, Mauer N, Yeboah E, Carr S, Rahman S, Danzer AM, Debray TPA, de Jong VMT, Campbell H, Gustafson P, Maxwell L, Jaenisch T, Matthay EC, and Bärnighausen T
- Subjects
- Humans, Research Design standards, Checklist methods, Checklist standards, Guidelines as Topic, Data Interpretation, Statistical, Causality, Meta-Analysis as Topic
- Abstract
Observational data provide invaluable real-world information in medicine, but certain methodological considerations are required to derive causal estimates. In this systematic review, we evaluated the methodology and reporting quality of individual-level patient data meta-analyses (IPD-MAs) conducted with non-randomized exposures, published in 2009, 2014, and 2019 that sought to estimate a causal relationship in medicine. We screened over 16,000 titles and abstracts, reviewed 45 full-text articles out of the 167 deemed potentially eligible, and included 29 into the analysis. Unfortunately, we found that causal methodologies were rarely implemented, and reporting was generally poor across studies. Specifically, only three of the 29 articles used quasi-experimental methods, and no study used G-methods to adjust for time-varying confounding. To address these issues, we propose stronger collaborations between physicians and methodologists to ensure that causal methodologies are properly implemented in IPD-MAs. In addition, we put forward a suggested checklist of reporting guidelines for IPD-MAs that utilize causal methods. This checklist could improve reporting thereby potentially enhancing the quality and trustworthiness of IPD-MAs, which can be considered one of the most valuable sources of evidence for health policy., (© 2024. The Author(s).)
- Published
- 2024
- Full Text
- View/download PDF
29. Navigating data standards in public health: A brief report from a data-standards meeting.
- Author
-
Hufstedler H, Roell Y, Peña A, Krishnan A, Green I, Barbosa-Silva A, Kremer A, Blacketer C, Fortier I, Howard K, LeRoy B, Hafeza E, Baorto D, Swertz M, Maxwell L, and Jaenisch T
- Subjects
- Humans, Public Health
- Abstract
Competing Interests: Disclosure of Interest: The authors completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and declare the following activities and relationships: Clair Blacketer is an employee of Johnson & Johnson and hold stock and stock options. Andreas Kremer is on the Board of Directors of i2b2 tranSMART, holds a position on ELIXIT’s Industry Advisory Committee, and holds stock and stock options with ITTM S.A..At the time of the data standards meeting, both Kit Howard and Bess LeRoy were employees of CDISC.
- Published
- 2024
- Full Text
- View/download PDF
30. Assessing vulnerability for future Zika virus outbreaks using seroprevalence data and environmental suitability maps.
- Author
-
Roell Y, Pezzi L, Lozano-Parra A, Olson D, Messina J, Quandelacy T, Drexler JF, Brady O, Karimzadeh M, and Jaenisch T
- Subjects
- Seroepidemiologic Studies, Humans, South America epidemiology, Zika Virus Infection epidemiology, Disease Outbreaks, Zika Virus immunology
- Abstract
The 2015-17 Zika virus (ZIKV) epidemic in the Americas subsided faster than expected and evolving population immunity was postulated to be the main reason. Herd immunization is suggested to occur around 60-70% seroprevalence, depending on demographic density and climate suitability. However, herd immunity was only documented for a few cities in South America, meaning a substantial portion of the population might still be vulnerable to a future Zika virus outbreak. The aim of our study was to determine the vulnerability of populations to ZIKV by comparing the environmental suitability of ZIKV transmission to the observed seroprevalence, based on published studies. Using a systematic search, we collected seroprevalence and geospatial data for 119 unique locations from 37 studies. Extracting the environmental suitability at each location and converting to a hypothetical expected seroprevalence, we were able to determine the discrepancy between observed and expected. This discrepancy is an indicator of vulnerability and divided into three categories: high risk, low risk, and very low risk. The vulnerability was used to evaluate the level of risk that each location still has for a ZIKV outbreak to occur. Of the 119 unique locations, 69 locations (58%) fell within the high risk category, 47 locations (39%) fell within the low risk category, and 3 locations (3%) fell within the very low risk category. The considerable heterogeneity between environmental suitability and seroprevalence potentially leaves a large population vulnerable to future infection. Vulnerability seems to be especially pronounced at the fringes of the environmental suitability for ZIKV (e.g. Sao Paulo, Brazil). The discrepancies between observed and expected seroprevalence raise the question: "why did the ZIKV epidemic stop with large populations unaffected?". This lack of understanding also highlights that future ZIKV outbreaks currently cannot be predicted with confidence., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2024 Roell 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.)
- Published
- 2024
- Full Text
- View/download PDF
31. Who coined the term "One Health"? Cooperation amid the siloization.
- Author
-
Pettan-Brewer C, Penn G, Biondo AW, Jaenisch T, Grützmacher K, and Kahn LH
- Abstract
This short communication is an effort to describe and elucidate the trajectory of the modern historical concept of "One Health." It is dedicated to the many integrated approaches of health closely related to One Health, while also recognizing the contribution and origination of One Health perspectives/notions from those that have led the way and spearheaded this movement while considering Indigenous cultures across the world. The effects of synergies of those involved in building these integrative approaches are potentially bigger and better lasting than the sum of the individual players. It is only through collaboration, cooperation and diplomacy that we can achieve impactful transformation to benefit health. In this commentary, we aim to appropriately and accurately describe how the current use of "One Health" came to be and who were the main players., Competing Interests: There are no conflicts of interest to disclose., (Published by Elsevier B.V.)
- Published
- 2024
- Full Text
- View/download PDF
32. Specimen sharing for epidemic preparedness: Building a virtual biorepository system from local governance to global partnerships.
- Author
-
Giri J, Pezzi L, Cachay R, Gèlvez Ramirez RM, Tami A, Bethencourt S, Lozano A, Gotuzzo Herencia JE, Poje J, Jaenisch T, and Chu M
- Abstract
We present a framework for a federated, virtual biorepository system (VBS) with locally collected and managed specimens, as a 'global public good' model based on principles of equitable access and benefit sharing. The VBS is intended to facilitate timely access to biological specimens and associated data for outbreak-prone infectious diseases to accelerate the development and evaluation of diagnostics, assess vaccine efficacy, and to support surveillance and research needs. The VBS is aimed to be aligned with the WHO BioHub and other specimen sharing efforts as a force multiplier to meet the needs of strengthening global tools for countering epidemics. The purpose of our initial research is to lay the basis of the collaboration, management and principles of equitable sharing focused on low- and middle-income country partners. Here we report on surveys and interviews undertaken with biorepository-interested parties to better understand needs and barriers for specimen access and share examples from the ZIKAlliance partnership on the governance and operations of locally organized biorepositories., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Giri 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.)
- Published
- 2023
- Full Text
- View/download PDF
33. Application of Causal Inference Methods to Pooled Longitudinal Non- Randomized Studies: A Methodological Systematic Review.
- Author
-
Hufstedler H, Mauer N, Yeboah E, Carr S, Rahman S, Danzer AM, Debray TPA, Jong VMT, Campbell H, Gustafson P, Maxwell L, Jaenisch T, Matthay EC, and Bärnighausen T
- Abstract
Observational data provide invaluable real-world information in medicine, but certain methodological considerations are required to derive causal estimates. In this systematic review, we evaluated the methodology and reporting quality of individual-level patient data meta-analyses (IPD-MAs) published in 2009, 2014, and 2019 that sought to estimate a causal relationship in medicine. We screened over 16,000 titles and abstracts, reviewed 45 full-text articles out of the 167 deemed potentially eligible, and included 29 into the analysis. Unfortunately, we found that causal methodologies were rarely implemented, and reporting was generally poor across studies. Specifically, only three of the 29 articles used quasi-experimental methods, and no study used G-methods to adjust for time-varying confounding. To address these issues, we propose stronger collaborations between physicians and methodologists to ensure that causal methodologies are properly implemented in IPD-MAs. In addition, we put forward a suggested checklist of reporting guidelines for IPD-MAs that utilize causal methods. This checklist could improve reporting thereby potentially enhancing the quality and trustworthiness of IPD-MAs, which can be considered one of the most valuable sources of evidence for health policy., Competing Interests: Competing interests Authors declare that they have no competing interests.
- Published
- 2023
- Full Text
- View/download PDF
34. Seroprevalence of Dengue, Chikungunya and Zika at the epicenter of the congenital microcephaly epidemic in Northeast Brazil: A population-based survey.
- Author
-
Braga C, Martelli CMT, Souza WV, Luna CF, Albuquerque MFPM, Mariz CA, Morais CNL, Brito CAA, Melo CFCA, Lins RD, Drexler JF, Jaenisch T, Marques ETA, and Viana IFT
- Subjects
- Humans, Child, Preschool, Child, Adolescent, Young Adult, Adult, Middle Aged, Aged, Brazil epidemiology, Seroepidemiologic Studies, Zika Virus Infection, Zika Virus, Chikungunya Fever, Microcephaly epidemiology, Dengue, Dengue Virus, Chikungunya virus, Epidemics
- Abstract
Background: The four Dengue viruses (DENV) serotypes were re-introduced in Brazil's Northeast region in a couple of decades, between 1980's and 2010's, where the DENV1 was the first detected serotype and DENV4 the latest. Zika (ZIKV) and Chikungunya (CHIKV) viruses were introduced in Recife around 2014 and led to large outbreaks in 2015 and 2016, respectively. However, the true extent of the ZIKV and CHIKV outbreaks, as well as the risk factors associated with exposure to these viruses remain vague., Methods: We conducted a stratified multistage household serosurvey among residents aged between 5 and 65 years in the city of Recife, Northeast Brazil, from August 2018 to February 2019. The city neighborhoods were stratified and divided into high, intermediate, and low socioeconomic strata (SES). Previous ZIKV, DENV and CHIKV infections were detected by IgG-based enzyme linked immunosorbent assays (ELISA). Recent ZIKV and CHIKV infections were assessed through IgG3 and IgM ELISA, respectively. Design-adjusted seroprevalence were estimated by age group, sex, and SES. The ZIKV seroprevalence was adjusted to account for the cross-reactivity with dengue. Individual and household-related risk factors were analyzed through regression models to calculate the force of infection. Odds Ratio (OR) were estimated as measure of effect., Principal Findings: A total of 2,070 residents' samples were collected and analyzed. The force of viral infection for high SES were lower as compared to low and intermediate SES. DENV seroprevalence was 88.7% (CI95%:87.0-90.4), and ranged from 81.2% (CI95%:76.9-85.6) in the high SES to 90.7% (CI95%:88.3-93.2) in the low SES. The overall adjusted ZIKV seroprevalence was 34.6% (CI95%:20.0-50.9), and ranged from 47.4% (CI95%:31.8-61.5) in the low SES to 23.4% (CI95%:12.2-33.8) in the high SES. The overall CHIKV seroprevalence was 35.7% (CI95%:32.6-38.9), and ranged from 38.6% (CI95%:33.6-43.6) in the low SES to 22.3% (CI95%:15.8-28.8) in the high SES. Surprisingly, ZIKV seroprevalence rapidly increased with age in the low and intermediate SES, while exhibited only a small increase with age in high SES. CHIKV seroprevalence according to age was stable in all SES. The prevalence of serological markers of ZIKV and CHIKV recent infections were 1.5% (CI95%:0.1-3.7) and 3.5% (CI95%:2.7-4.2), respectively., Conclusions: Our results confirmed continued DENV transmission and intense ZIKV and CHIKV transmission during the 2015/2016 epidemics followed by ongoing low-level transmission. The study also highlights that a significant proportion of the population is still susceptible to be infected by ZIKV and CHIKV. The reasons underlying a ceasing of the ZIKV epidemic in 2017/18 and the impact of antibody decay in susceptibility to future DENV and ZIKV infections may be related to the interplay between disease transmission mechanism and actual exposure in the different SES., Competing Interests: The authors have declared that no competing interests exist., (Copyright: © 2023 Braga 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.)
- Published
- 2023
- Full Text
- View/download PDF
35. Early diagnostic indicators of dengue versus other febrile illnesses in Asia and Latin America (IDAMS study): a multicentre, prospective, observational study.
- Author
-
Rosenberger KD, Phung Khanh L, Tobian F, Chanpheaktra N, Kumar V, Lum LCS, Sathar J, Pleités Sandoval E, Marón GM, Laksono IS, Mahendradhata Y, Sarker M, Rahman R, Caprara A, Souza Benevides B, Marques ETA, Magalhaes T, Brasil P, Amaral Calvet G, Tami A, Bethencourt SE, Dong Thi Hoai T, Nguyen Tan Thanh K, Tran Van N, Nguyen Tran N, Do Chau V, Yacoub S, Nguyen Van K, Guzmán MG, Martinez PA, Nguyen Than Ha Q, Simmons CP, Wills BA, Geskus RB, and Jaenisch T
- Subjects
- Humans, Male, Female, Prospective Studies, Latin America epidemiology, Asia, Biomarkers, Bangladesh, Fever etiology, Fever diagnosis
- Abstract
Background: Improvements in the early diagnosis of dengue are urgently needed, especially in resource-limited settings where the distinction between dengue and other febrile illnesses is crucial for patient management., Methods: In this prospective, observational study (IDAMS), we included patients aged 5 years and older with undifferentiated fever at presentation from 26 outpatient facilities in eight countries (Bangladesh, Brazil, Cambodia, El Salvador, Indonesia, Malaysia, Venezuela, and Viet Nam). We used multivariable logistic regression to investigate the association between clinical symptoms and laboratory tests with dengue versus other febrile illnesses between day 2 and day 5 after onset of fever (ie, illness days). We built a set of candidate regression models including clinical and laboratory variables to reflect the need of a comprehensive versus parsimonious approach. We assessed performance of these models via standard measures of diagnostic values., Findings: Between Oct 18, 2011, and Aug 4, 2016, we recruited 7428 patients, of whom 2694 (36%) were diagnosed with laboratory-confirmed dengue and 2495 (34%) with (non-dengue) other febrile illnesses and met inclusion criteria, and were included in the analysis. 2703 (52%) of 5189 included patients were younger than 15 years, 2486 (48%) were aged 15 years or older, 2179 (42%) were female and 3010 (58%) were male. Platelet count, white blood cell count, and the change in these variables from the previous day of illness had a strong association with dengue. Cough and rhinitis had strong associations with other febrile illnesses, whereas bleeding, anorexia, and skin flush were generally associated with dengue. Model performance increased between day 2 and 5 of illness. The comprehensive model (18 clinical and laboratory predictors) had sensitivities of 0·80 to 0·87 and specificities of 0·80 to 0·91, whereas the parsimonious model (eight clinical and laboratory predictors) had sensitivities of 0·80 to 0·88 and specificities of 0·81 to 0·89. A model that includes laboratory markers that are easy to measure (eg, platelet count or white blood cell count) outperformed the models based on clinical variables only., Interpretation: Our results confirm the important role of platelet and white blood cell counts in diagnosing dengue, and the importance of serial measurements over subsequent days. We successfully quantified the performance of clinical and laboratory markers covering the early period of dengue. Resulting algorithms performed better than published schemes for distinction of dengue from other febrile illnesses, and take into account the dynamic changes over time. Our results provide crucial information needed for the update of guidelines, including the Integrated Management of Childhood Illness handbook., Funding: EU's Seventh Framework Programme., Translations: For the Bangla, Bahasa Indonesia, Portuguese, Khmer, Spanish and Vietnamese translations of the abstract see Supplementary Materials section., Competing Interests: Declaration of interests TJ reports personal fees from the Roche Severe Dengue Advisory Board, Takeda Pharmaceutical Company, Merck Pharmaceuticals, and Emergent Biosolutions, as a member of advisory boards, outside the submitted work. BAW reports personal fees from Takeda Pharmaceutical Company and from the Roche Severe Dengue Advisory Board, outside the submitted work. SY reports personal fees from Roche, outside the submitted work. All other authors declare no competing interests., (Copyright © 2023 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2023
- Full Text
- View/download PDF
36. Adjusting for misclassification of an exposure in an individual participant data meta-analysis.
- Author
-
de Jong VMT, Campbell H, Maxwell L, Jaenisch T, Gustafson P, and Debray TPA
- Subjects
- Humans, Computer Simulation, Bayes Theorem
- Abstract
A common problem in the analysis of multiple data sources, including individual participant data meta-analysis (IPD-MA), is the misclassification of binary variables. Misclassification may lead to biased estimators of model parameters, even when the misclassification is entirely random. We aimed to develop statistical methods that facilitate unbiased estimation of adjusted and unadjusted exposure-outcome associations and between-study heterogeneity in IPD-MA, where the extent and nature of exposure misclassification may vary across studies. We present Bayesian methods that allow misclassification of binary exposure variables to depend on study- and participant-level characteristics. In an example of the differential diagnosis of dengue using two variables, where the gold standard measurement for the exposure variable was unavailable for some studies which only measured a surrogate prone to misclassification, our methods yielded more accurate estimates than analyses naive with regard to misclassification or based on gold standard measurements alone. In a simulation study, the evaluated misclassification model yielded valid estimates of the exposure-outcome association, and was more accurate than analyses restricted to gold standard measurements. Our proposed framework can appropriately account for the presence of binary exposure misclassification in IPD-MA. It requires that some studies supply IPD for the surrogate and gold standard exposure, and allows misclassification to follow a random effects distribution across studies conditional on observed covariates (and outcome). The proposed methods are most beneficial when few large studies that measured the gold standard are available, and when misclassification is frequent., (© 2022 The Authors. Research Synthesis Methods published by John Wiley & Sons Ltd.)
- Published
- 2023
- Full Text
- View/download PDF
37. Limitations introduced by a low participation rate of SARS-CoV-2 seroprevalence data.
- Author
-
Pluss O, Campbell H, Pezzi L, Morales I, Roell Y, Quandelacy TM, Arora RK, Boucher E, Lamb MM, Chu M, Bärnighausen T, and Jaenisch T
- Subjects
- Humans, Seroepidemiologic Studies, Linear Models, Research Design, Antibodies, Viral, SARS-CoV-2, COVID-19 epidemiology
- Abstract
Background: There has been a large influx of COVID-19 seroprevalence studies, but comparability between the seroprevalence estimates has been an issue because of heterogeneities in testing platforms and study methodology. One potential source of heterogeneity is the response or participation rate., Methods: We conducted a review of participation rates (PR) in SARS-CoV-2 seroprevalence studies collected by SeroTracker and examined their effect on the validity of study conclusions. PR was calculated as the count of participants for whom the investigators had collected a valid sample, divided by the number of people invited to participate in the study. A multivariable beta generalized linear model with logit link was fitted to determine if the PR of international household and community-based seroprevalence studies was associated with the factors of interest, from 1 December 2019 to 10 March 2021., Results: We identified 90 papers based on screening and were able to calculate the PR for 35 out of 90 papers (39%), with a median PR of 70% and an interquartile range of 40.92; 61% of the studies did not report PR., Conclusions: Many SARS-CoV-2 seroprevalence studies do not report PR. It is unclear what the median PR rate would be had a larger portion not had limitations in reporting. Low participation rates indicate limited representativeness of results. Non-probabilistic sampling frames were associated with higher participation rates but may be less representative. Standardized definitions of participation rate and data reporting necessary for the PR calculations are essential for understanding the representativeness of seroprevalence estimates in the population of interest., (© The Author(s) 2022; all rights reserved. Published by Oxford University Press on behalf of the International Epidemiological Association.)
- Published
- 2023
- Full Text
- View/download PDF
38. Burden of Postinfectious Symptoms after Acute Dengue, Vietnam.
- Author
-
Tam DTH, Clapham H, Giger E, Kieu NTT, Nam NT, Hong DTT, Nuoi BT, Cam NTH, Quyen NTH, Turner HC, Jaenisch T, Simmons CP, Lam PK, and Wills B
- Subjects
- Humans, Child, Vietnam epidemiology, Dengue complications, Dengue diagnosis, Dengue epidemiology
- Abstract
We assessed predominantly pediatric patients in Vietnam with dengue and other febrile illness 3 months after acute illness. Among dengue patients, 47% reported >1 postacute symptom. Most resolved by 3 months, but alopecia and vision problems often persisted. Our findings provide additional evidence on postacute dengue burden and confirm children are affected.
- Published
- 2023
- Full Text
- View/download PDF
39. The effect of malaria on childhood anemia in a quasi-experimental study of 7,384 twins from 23 Sub-Saharan African countries.
- Author
-
Starck T, Dambach P, Rouamba T, Tinto H, Osier F, Oldenburg CE, Adam M, Bärnighausen T, Jaenisch T, and Bulstra CA
- Subjects
- Child, Child, Preschool, Humans, Risk Factors, Sub-Saharan African People, Africa South of the Sahara epidemiology, Anemia blood, Anemia epidemiology, Anemia parasitology, Hemoglobins, Malaria blood, Malaria epidemiology
- Abstract
Background: Young children in Sub-Saharan Africa (SSA), particularly those from resource-limited settings, are heavily burdened by anemia and malaria. While malaria infected children frequently become anemic (hemoglobin < 110 g/L), anemia is a strongly multifactorial disease with many other risk factors than malaria. Due to the complex and often overlapping contributors to anemia, it remains challenging to isolate the true impact of malaria on population level hemoglobin concentrations., Methods: We quantified the malaria-induced effect on hemoglobin levels in children under 5 years of age, leveraging data from 7,384 twins and other multiples, aged 6 to 59 months, from 57 nationally representative Demographic and Health Surveys (DHSs) from 23 SSA countries from 2006 to 2019. The quasi-experimental twin fixed-effect design let us minimize the impact of potential confounders that do not vary between twins., Results: Our analyses of twins revealed a malaria-induced hemoglobin decrease in infected twins of 9 g/L (95% CI -10; -7, p <0.001). The relative risk of severe anemia was higher (RR = 3.01, 95% CI 1.79; 5.1, p <0.001) among malaria positive children, compared to malaria negative children. Conversely, malaria positive children are only half as likely to be non-anemic (RR = 0.51, 95% CI 0.43; 0.61, p <0.001)., Conclusion: Even after rigorous control for confounding through a twin fixed-effects study design, malaria substantially decreased hemoglobin levels among SSA twins, rendering them much more susceptible to severe anemia. This effect reflects the population-level effect of malaria on anemia., Competing Interests: The 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., (Copyright © 2022 Starck, Dambach, Rouamba, Tinto, Osier, Oldenburg, Adam, Bärnighausen, Jaenisch and Bulstra.)
- Published
- 2022
- Full Text
- View/download PDF
40. Lessons from the pandemic: Responding to emerging zoonotic viral diseases-a Keystone Symposia report.
- Author
-
Cable J, Fauci A, Dowling WE, Günther S, Bente DA, Yadav PD, Madoff LC, Wang LF, Arora RK, Van Kerkhove M, Chu MC, Jaenisch T, Epstein JH, Frost SDW, Bausch DG, Hensley LE, Bergeron É, Sitaras I, Gunn MD, Geisbert TW, Muñoz-Fontela C, Krammer F, de Wit E, Nordenfelt P, Saphire EO, Gilbert SC, Corbett KS, Branco LM, Baize S, van Doremalen N, Krieger MA, Clemens SAC, Hesselink R, and Hartman D
- Subjects
- Humans, Pandemics, Disease Outbreaks, COVID-19 epidemiology, Ebolavirus
- Abstract
The COVID-19 pandemic caught the world largely unprepared, including scientific and policy communities. On April 10-13, 2022, researchers across academia, industry, government, and nonprofit organizations met at the Keystone symposium "Lessons from the Pandemic: Responding to Emerging Zoonotic Viral Diseases" to discuss the successes and challenges of the COVID-19 pandemic and what lessons can be applied moving forward. Speakers focused on experiences not only from the COVID-19 pandemic but also from outbreaks of other pathogens, including the Ebola virus, Lassa virus, and Nipah virus. A general consensus was that investments made during the COVID-19 pandemic in infrastructure, collaborations, laboratory and manufacturing capacity, diagnostics, clinical trial networks, and regulatory enhancements-notably, in low-to-middle income countries-must be maintained and strengthened to enable quick, concerted responses to future threats, especially to zoonotic pathogens., (© 2022 New York Academy of Sciences.)
- Published
- 2022
- Full Text
- View/download PDF
41. Serology Assays Used in SARS-CoV-2 Seroprevalence Surveys Worldwide: A Systematic Review and Meta-Analysis of Assay Features, Testing Algorithms, and Performance.
- Author
-
Ma X, Li Z, Whelan MG, Kim D, Cao C, Yanes-Lane M, Yan T, Jaenisch T, Chu M, Clifton DA, Subissi L, Bobrovitz N, and Arora RK
- Abstract
Background: Many serological assays to detect SARS-CoV-2 antibodies were developed during the COVID-19 pandemic. Differences in the detection mechanism of SARS-CoV-2 serological assays limited the comparability of seroprevalence estimates for populations being tested. Methods: We conducted a systematic review and meta-analysis of serological assays used in SARS-CoV-2 population seroprevalence surveys, searching for published articles, preprints, institutional sources, and grey literature between 1 January 2020, and 19 November 2021. We described features of all identified assays and mapped performance metrics by the manufacturers, third-party head-to-head, and independent group evaluations. We compared the reported assay performance by evaluation source with a mixed-effect beta regression model. A simulation was run to quantify how biased assay performance affects population seroprevalence estimates with test adjustment. Results: Among 1807 included serosurveys, 192 distinctive commercial assays and 380 self-developed assays were identified. According to manufacturers, 28.6% of all commercial assays met WHO criteria for emergency use (sensitivity [Sn.] >= 90.0%, specificity [Sp.] >= 97.0%). However, manufacturers overstated the absolute values of Sn. of commercial assays by 1.0% [0.1, 1.4%] and 3.3% [2.7, 3.4%], and Sp. by 0.9% [0.9, 0.9%] and 0.2% [−0.1, 0.4%] compared to third-party and independent evaluations, respectively. Reported performance data was not sufficient to support a similar analysis for self-developed assays. Simulations indicate that inaccurate Sn. and Sp. can bias seroprevalence estimates adjusted for assay performance; the error level changes with the background seroprevalence. Conclusions: The Sn. and Sp. of the serological assay are not fixed properties, but varying features depending on the testing population. To achieve precise population estimates and to ensure the comparability of seroprevalence, serosurveys should select assays with high performance validated not only by their manufacturers and adjust seroprevalence estimates based on assured performance data. More investigation should be directed to consolidating the performance of self-developed assays., Competing Interests: R.K.A. reports consulting fees from the Bill and Melinda Gates Foundation Strategic Investment Fund, past employment with Health Canada, and equity in Alethea Medical, all outside the submitted work. D.A.C. reports consulting fees from Sensyne Health, Oxford University Innovation, and BioBeats, each outside the submitted work. L.S. is employed by WHO. No others at WHO and no other funders, had any role in the design of this study, its execution, analyses, interpretation of the data, or decision to submit results. This manuscript does not necessarily reflect the views of the World Health Organization or any other funder.
- Published
- 2022
- Full Text
- View/download PDF
42. Investigating transmission of SARS-CoV-2 using novel face mask sampling: a protocol for an observational prospective study of index cases and their contacts in a congregate setting.
- Author
-
Jaenisch T, Lamb MM, Gallichotte EN, Adams B, Henry C, Riess J, van Sickle JT, Hawkins KL, Montague BT, Coburn C, Conners Bauer L, Kovarik J, Hernandez MT, Bronson A, Graham L, James S, Hanenberg S, Kovacs J, Spencer JS, Zabel M, Fox PD, Pluss O, Windsor W, Winstanley G, Olson D, Barer M, Berman S, Ebel G, and Chu M
- Subjects
- Humans, Observational Studies as Topic, Personal Protective Equipment, Prospective Studies, SARS-CoV-2, COVID-19 diagnosis, COVID-19 epidemiology, COVID-19 prevention & control, Masks
- Abstract
Introduction: This study aims to measure how transmission of SARS-CoV-2 occurs in communities and to identify conditions that lend to increased transmission focusing on congregate situations. We will measure SARS-CoV-2 in exhaled breath of asymptomatic and symptomatic persons using face mask sampling-a non-invasive method for SARS-CoV-2 detection in exhaled air. We aim to detect transmission clusters and identify risk factors for SARS-CoV-2 transmission in presymptomatic, asymptomatic and symptomatic individuals., Methods and Analysis: In this observational prospective study with daily follow-up, index cases and their respective contacts are identified at each participating institution. Contact definitions are based on Centers for Disease Control and Prevention and local health department guidelines. Participants will wear masks with polyvinyl alcohol test strips adhered to the inside for 2 hours daily. The strips are applied to all masks used over at least 7 days. In addition, self-administered nasal swabs and (optional) finger prick blood samples are performed by participants. Samples are tested by standard PCR protocols and by novel antigen tests., Ethics and Dissemination: This study was approved by the Colorado Multiple Institutional Review Board and the WHO Ethics Review Committee. From the data generated, we will analyse transmission clusters and risk factors for transmission of SARS-CoV-2 in congregate settings. The kinetics of asymptomatic transmission and the evaluation of non-invasive tools for detection of transmissibility are of crucial importance for the development of more targeted control interventions-and ultimately to assist with keeping congregate settings open that are essential for our social fabric., Trial Registration Number: ClinicalTrials.gov (#NCT05145803)., Competing Interests: Competing interests: TJ, MML, WW, BA, GE and MC report grant support from WHO for this study for salaries or equipment/reagents. SB, OP, AB, CH, JR, JKovacs and MZ report grant/salary support for unrelated research without conflict of interest. EG, MH, CC, DO, SH, JKovarik, LCB, JTvS, SJ, JSS and LG report no conflict of interest. MZ reports speaker honoraria at academic institutions. BM reports industry support from Regeneron and Eli Lilly Foundation (as investigator, to the institution), MB reports support from the UK National Core Study on Transmission, and PF reports stock in Darwin Biosciences and support (equipment and reagents) from Ceres Nanosciences., (© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ.)
- Published
- 2022
- Full Text
- View/download PDF
43. Dengue algorithms integrated into the IMCI guidelines: An updated assessment in five Southeast-Asian countries.
- Author
-
Petzold S, Rosenberger KD, Wills B, Deen J, Weber MW, and Jaenisch T
- Subjects
- Child, Humans, Child, Preschool, Prospective Studies, Fever diagnosis, Vietnam, Algorithms, Severe Dengue
- Abstract
Background: Dengue is not included explicitly in the WHO Integrated Management of Childhood Illness (IMCI) algorithm. However, the assessment, classification and management of dengue has been incorporated into several IMCI country adaptations. We aimed to evaluate the dengue algorithms incorporated into IMCI guidelines and discuss the need for harmonization, including an extension of the age range for IMCI., Methods: This study included three steps. First, we investigated dengue algorithms incorporated into five Southeast-Asian (Myanmar, Philippines, Vietnam, Indonesia, Cambodia) country IMCI guidelines through a desk-based analysis. Second, we conducted an expert survey to elicit opinions regarding the integration of dengue and extension of the age range in IMCI. Third, we compared our findings with data from a large multicentric prospective study on acute febrile illness., Results: We found considerable heterogeneity between the country specific IMCI guidelines in the dengue algorithms as well as classification schemes. Most guidelines did not differentiate between diagnostic algorithms for the detection of dengue versus other febrile illness, and warning signs for progression to severe dengue. Our expert survey resulted in a consensus to further integrate dengue in IMCI and extend the age range for IMCI guidelines beyond 5 years of age. Most of the interviewees responded that their country had a stand-alone clinical guideline for dengue, which was not integrated into the IMCI approach and considered laboratory testing for dengue necessary on day three of consecutive fever. Using data from a large multicentric study of children 5-15 years of age, we could confirm that the likelihood of dengue increased with consecutive fever days. However, a significant proportion of children (36%) would be missed if laboratory testing was only offered on the third consecutive day of fever., Conclusions: This study supports the extension of the IMCI age range beyond 5 years of age as well as the inclusion of dengue relevant content in the algorithm. Because of the challenge of distinguishing dengue from other febrile illnesses, simple laboratory testing (e.g., full blood count) should be offered at an early stage during the course of the illness. Testing only children with consecutive fever over 3 days may lead to an underdiagnosis of dengue among those with acute febrile illness in children 5-15 years of age. In addition, specific laboratory testing for dengue should be made available to peripheral health facilities., Competing Interests: The authors have read the journal’s policy and the authors of this manuscript have the following competing interests: MWW is a WHO staff member.
- Published
- 2022
- Full Text
- View/download PDF
44. Challenges of data sharing in European Covid-19 projects: A learning opportunity for advancing pandemic preparedness and response.
- Author
-
Tacconelli E, Gorska A, Carrara E, Davis RJ, Bonten M, Friedrich AW, Glasner C, Goossens H, Hasenauer J, Abad JMH, Peñalvo JL, Sanchez-Niubo A, Sialm A, Scipione G, Soriano G, Yazdanpanah Y, Vorstenbosch E, and Jaenisch T
- Abstract
The COVID-19 pandemic saw a massive investment into collaborative research projects with a focus on producing data to support public health decisions. We relay our direct experience of four projects funded under the Horizon2020 programme, namely ReCoDID, ORCHESTRA, unCoVer and SYNCHROS. The projects provide insight into the complexities of sharing patient level data from observational cohorts. We focus on compliance with the General Data Protection Regulation (GDPR) and ethics approvals when sharing data across national borders. We discuss procedures for data mapping; submission of new international codes to standards organisation; federated approach; and centralised data curation. Finally, we put forward recommendations for the development of guidelines for the application of GDPR in case of major public health threats; mandatory standards for data collection in funding frameworks; training and capacity building for data owners; cataloguing of international use of metadata standards; and dedicated funding for identified critical areas., Competing Interests: MB reports grants to UMCU from Janssen Vaccines, Novartis and CureVac, consulting fees from Astra Zeneca, Pfizer, Janssen Vaccines, Novartis,Takeda,Janssen Vaccines and payments from Sanofi for Participation on a Data Safety Monitoring Board or Advisory Board. ET, EC and RJD report H2020 funding for ORCHESTRA. JH reports H2020 funding for ORCHESTRA, funding from the German Research Council for the SEPAN Project, funding from German Ministry of Education and Research for the EMUNE and the INSIDe Project and funding from Volkswagen Stiftung for the E2 project. AS and EV report H2020 funding for SYNCHROS. TJ reports H2020 funding for ReCoDID. All other authors declare no competing interests., (© 2022 The Authors.)
- Published
- 2022
- Full Text
- View/download PDF
45. Detection of SARS-CoV-2 in exhaled air using non-invasive embedded strips in masks.
- Author
-
Gallichotte EN, Windsor W, Watts S, Sexton N, Henry C, Jaenisch T, Lamb MM, Winstanley G, Adams B, Chu M, and Ebel GD
- Subjects
- COVID-19 Testing, Humans, Pandemics, RNA, Viral analysis, RNA, Viral genetics, COVID-19 diagnosis, SARS-CoV-2
- Abstract
Background: SARS-CoV-2 emerged in 2019 and resulted in a pandemic causing millions of infections worldwide. Gold-standard for SARS-CoV-2 detection uses quantitative RT-qPCR on respiratory secretions to detect viral RNA (vRNA). Acquiring these samples is invasive, can be painful for those with xerostomia and other health conditions, and sample quality can vary greatly. Frequently only symptomatic individuals are tested even though asymptomatic individuals can have comparable viral loads and efficiently transmit virus., Methods: We utilized a non-invasive approach to detect SARS-CoV-2 in individuals, using polyvinyl alcohol (PVA) strips embedded in KN95 masks. PVA strips were tested for SARS-CoV-2 vRNA via qRT-PCR and infectious virus., Results: We show efficient recovery of vRNA and infectious virus from virus-spiked PVA with detection limits comparable to nasal swab samples. In infected individuals, we detect both human and SARS-CoV-2 RNA on PVA strips, however, these levels are not correlated with length of time mask was worn, number of times coughed or sneezed, or level of virus in nasal swab samples. We successfully cultured and deep-sequenced PVA-associated virus., Conclusions: These results demonstrate the feasibility of using PVA-embedded masks as a non-invasive platform for detecting SARS-CoV-2 in exhaled air in COVID-positive individuals regardless of symptom status., (Copyright © 2022. Published by Elsevier Inc.)
- Published
- 2022
- Full Text
- View/download PDF
46. Impact of SARS-CoV-2 on pregnancy and neonatal outcomes: An open prospective study of pregnant women in Brazil.
- Author
-
Gomez UT, Francisco RPV, Baptista FS, Gibelli MABC, Ibidi SM, Carvalho WB, Paganoti CF, Sabino EC, Silva LCOD, Jaenisch T, Mayaud P, and Brizot ML
- Subjects
- Brazil, Female, Humans, Infant, Newborn, Pregnancy, Pregnancy Outcome, Pregnant Women, Prospective Studies, SARS-CoV-2, COVID-19, Oligohydramnios, Pregnancy Complications, Infectious, Premature Birth
- Abstract
Objectives: To determine the incidence and risk of adverse obstetric and neonatal outcomes according to SARS-CoV-2 infection severity in pregnant women., Method: Open prospective study of pregnant women tested for SARS-CoV-2 by serological and molecular assays during pregnancy or delivery in two hospitals in Sao Paulo, Brazil from April 12, 2020, to February 28, 2021. Five groups were considered for analysis: C0, negative COVID-19 results and no COVID-19 symptoms; C1, positive COVID-19 results, and no symptoms; C2, positive COVID-19 results with mild symptoms; C3, positive COVID-19 results with moderate symptoms; and C4, positive COVID-19 results with severe symptoms. The association between obstetric and neonatal outcomes and COVID-19 severity was determined using multivariate analysis., Results: 734 eligible pregnant women were enrolled as follows: C0 (n = 357), C1 (n = 127), C2 (n = 174), C3 (n = 37), and C4 (n = 39). The following pregnancy and neonatal outcomes were associated with severe COVID-19: oligohydramnios (adjusted Odds Ratio [aOR] = 6.18; 95% CI 1.87‒20.39), fetal distress (aOR = 4.01; 95% Confidence Interval [CI] 1.84‒8.75), preterm birth (aOR = 5.51; 95% CI 1.47‒20.61), longer hospital stay (aOR = 1.66; 95% CI 1.36‒2.02), and admission to the neonatal intensive care unit (aOR = 19.36; 95% CI, 5.86‒63.99). All maternal (n = 6, 15.4%, p < 0.001) and neonatal (n = 5, 12.5%, p < 0.001) deaths and most fetal deaths (n = 4, 9.8%, p < 0.001) occurred in C4 group. Moderate COVID-19 was associated with oligohydramnios (aOR = 6.23; 95% CI 1.93‒20.13) and preterm birth (aOR = 3.60; 95% CI 1.45‒9.27). Mild COVID-19 was associated with oligohydramnios (aOR = 3.77; 95% CI 1.56‒9.07)., Conclusion: Adverse pregnancy and neonatal outcomes were associated with maternal symptomatic COVID-19 status, and risk increased with disease severity., Competing Interests: Declaration of Competing Interest The authors declare no conflicts of interest., (Copyright © 2022 HCFMUSP. Published by Elsevier España, S.L.U. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
47. Two-year Decay of Zika Virus Neutralizing Antibodies in People Living in an Endemic Region in Brazil.
- Author
-
Magalhaes T, Morais CNL, Azevedo EAN, Jacques IJAA, Castanha PMS, Cordeiro MT, Braga C, Jaenisch T, Marques ETA, and Foy BD
- Subjects
- Antibodies, Neutralizing, Antibodies, Viral, Brazil epidemiology, Cross Reactions, Humans, Dengue, Dengue Virus, Zika Virus, Zika Virus Infection
- Abstract
It is currently not clear whether humoral immunity to Zika virus (ZIKV) elicited upon natural ZIKV infection is long-lasting. In addition, cross-reactivity of anti-ZIKV antibodies with antigenically related dengue viruses (DENV) may have biological implications in nonnaive individuals who subsequently acquire a heterotypic infection. Cross-reactive humoral immunity between ZIKV and DENV also complicates the interpretation of serological tests to evaluate previous exposure to either virus. Here, we have measured the 2-year decay of ZIKV neutralizing antibodies in people living in a ZIKV/DENV endemic area in Brazil who were identified as having an acute infection (group 1) or past (but recent) infection (group 2) with ZIKV in 2015-16. The titers of neutralizing antibodies to ZIKV decreased 9.1 and 2.3 times in groups 1 and 2, respectively. We also show that the plaque reduction neutralization assay (PRNT) is a reliable method to measure past exposure to ZIKV in coendemic areas.
- Published
- 2022
- Full Text
- View/download PDF
48. Systematic Review Reveals Lack of Causal Methodology Applied to Pooled Longitudinal Observational Infectious Disease Studies.
- Author
-
Hufstedler H, Rahman S, Danzer AM, Goymann H, de Jong VMT, Campbell H, Gustafson P, Debray TPA, Jaenisch T, Maxwell L, Matthay EC, and Bärnighausen T
- Subjects
- Causality, Humans, Longitudinal Studies, Communicable Diseases epidemiology
- Abstract
Objectives: Among ID studies seeking to make causal inferences and pooling individual-level longitudinal data from multiple infectious disease cohorts, we sought to assess what methods are being used, how those methods are being reported, and whether these factors have changed over time., Study Design and Setting: Systematic review of longitudinal observational infectious disease studies pooling individual-level patient data from 2+ studies published in English in 2009, 2014, or 2019. This systematic review protocol is registered with PROSPERO (CRD42020204104)., Results: Our search yielded 1,462 unique articles. Of these, 16 were included in the final review. Our analysis showed a lack of causal inference methods and of clear reporting on methods and the required assumptions., Conclusion: There are many approaches to causal inference which may help facilitate accurate inference in the presence of unmeasured and time-varying confounding. In observational ID studies leveraging pooled, longitudinal IPD, the absence of these causal inference methods and gaps in the reporting of key methodological considerations suggests there is ample opportunity to enhance the rigor and reporting of research in this field. Interdisciplinary collaborations between substantive and methodological experts would strengthen future work., (Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
49. A Novel Orf Virus D1701-VrV-Based Dengue Virus (DENV) Vaccine Candidate Expressing HLA-Specific T Cell Epitopes: A Proof-of-Concept Study.
- Author
-
Reguzova A, Fischer N, Müller M, Salomon F, Jaenisch T, and Amann R
- Abstract
Although dengue virus (DENV) affects almost half of the world's population there are neither preventive treatments nor any long-lasting and protective vaccines available at this time. The complexity of the protective immune response to DENV is still not fully understood. The most advanced vaccine candidates focus specifically on humoral immune responses and the production of virus-neutralizing antibodies. However, results from several recent studies have revealed the protective role of T cells in the immune response to DENV. Hence, in this study, we generated a novel and potent DENV vaccine candidate based on an Orf virus (ORFV, genus Parapoxvirus ) vector platform engineered to encode five highly conserved or cross-reactive DENV human leukocyte antigen (HLA)-A*02- or HLA-B*07-restricted epitopes as minigenes (ORFV-DENV). We showed that ORFV-DENV facilitates the in vitro priming of CD8
+ T cells from healthy blood donors based on responses to each of the encoded immunogenic peptides. Moreover, we demonstrated that peripheral blood mononuclear cells isolated from clinically confirmed DENV-positive donors stimulated with ORFV-DENV generate cytotoxic T cell responses to at least three of the expressed DENV peptides. Finally, we showed that ORFV-DENV could activate CD8+ T cells isolated from donors who had recovered from Zika virus (ZIKV) infection. ZIKV belongs to the same virus family ( Flaviviridae ) and has epitope sequences that are homologous to those of DENV. We found that highly conserved HLA-B*07-restricted ZIKV and DENV epitopes induced functional CD8+ T cell responses in PBMCs isolated from confirmed ZIKV-positive donors. In summary, this proof-of-concept study characterizes a promising new ORFV D1701-VrV-based DENV vaccine candidate that induces broad and functional epitope-specific CD8+ T cell responses.- Published
- 2021
- Full Text
- View/download PDF
50. Zika Virus Seroprevalence in Two Districts of Chincha, Ica, Peru: A Cross-Sectional Study.
- Author
-
Cachay R, Schwalb A, Acevedo-Rodriguez JG, Merino X, Talledo M, Suarez-Ognio L, Pezzi L, de Lamballerie X, Guerra H, Jaenisch T, and Gotuzzo E
- Subjects
- Adult, Cross-Sectional Studies, Enzyme-Linked Immunosorbent Assay, Female, Humans, Male, Neutralization Tests, Peru epidemiology, Retrospective Studies, Seroepidemiologic Studies, Young Adult, Antibodies, Viral blood, Zika Virus immunology, Zika Virus Infection epidemiology
- Abstract
In 2017, a major outbreak of Zika virus (ZIKV) infection took place in Chincha Province, Peru, where arboviral circulation had never been reported before. We conducted a cross-sectional survey (March-May 2019) in two districts of Chincha Province: Pueblo Nuevo and Chincha Baja. We included residents who were 20 to 40 years old and who had lived in these districts for at least 1 year. Serological testing combined screening with a commercial NS1 protein-based Zika IgG ELISA, and confirmation by a cytopathic effect-based virus neutralization test (VNT). Prevalence ratios (PRs) were calculated using Poisson regression with robust error variance. Four hundred participants, divided equally among districts, were enrolled. Anti-ZIKV IgG ELISA was positive for 42 participants (10.5%) and borderline for 12 (3%). Fifty-two of these 54 samples were confirmed positive by ZIKV VNT (13% of the total population). The Pueblo Nuevo district exhibited a greater ZIKV seroprevalence based on VNT results than the Chincha Baja district (23.5% versus 2.5%), with participants from the Pueblo Nuevo district being 9.4 times more likely to have a positive ZIKV VNT result. Average monthly income greater than the minimum wage and adequate water storage were found to be protective factors (PR, 0.29 and 0.24, respectively). In multivariate analysis, living in the Pueblo Nuevo district and a personal history of fever and rash were strong predictors of ZIKV positivity by VNT. The low ZIKV seroprevalence should prompt health authorities to stimulate interventions to prevent potential future outbreaks. In the Pueblo Nuevo district, the seroprevalence was greater but presumably not sufficient to ensure protective herd immunity.
- Published
- 2021
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.