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Seroepidemiology and model-based prediction of SARS-CoV-2 in Ethiopia: longitudinal cohort study among front-line hospital workers and communities.
Gudina, Esayas Kebede; Ali, Solomon; Girma, Eyob; Gize, Addisu; Tegene, Birhanemeskel; Hundie, Gadissa Bedada; Sime, Wondewosen Tsegaye; Ambachew, Rozina; Gebreyohanns, Alganesh; Bekele, Mahteme; Bakuli, Abhishek; Elsbernd, Kira; Merkt, Simon; Contento, Lorenzo; Hoelscher, Michael; Hasenauer, Jan; Wieser, Andreas; Kroidl, Arne.
Afiliação
  • Gudina EK; Jimma University Institute of Health, Jimma, Ethiopia. Electronic address: esayas.gudina@ju.edu.et.
  • Ali S; Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Girma E; Jimma University Institute of Health, Jimma, Ethiopia.
  • Gize A; Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Tegene B; Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Hundie GB; Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Sime WT; Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Ambachew R; Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Gebreyohanns A; Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Bekele M; Saint Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
  • Bakuli A; Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; German Center for Infection Research, partner site Munich, Munich, Germany.
  • Elsbernd K; Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; Institute for Medical Information Processing, Biometry, and Epidemiology-IBE, Ludwig Maximilian University of Munich, Munich, Germany.
  • Merkt S; Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.
  • Contento L; Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.
  • Hoelscher M; Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; German Center for Infection Research, partner site Munich, Munich, Germany.
  • Hasenauer J; Institute of Computational Biology, Helmholtz Zentrum München-German Research Center for Environmental Health, Neuherberg, Germany; Center for Mathematics, Technische Universität München, Garching, Germany; Faculty of Mathematics and Natural Sciences, University of Bonn, Bonn, Germany.
  • Wieser A; Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; German Center for Infection Research, partner site Munich, Munich, Germany.
  • Kroidl A; Division of Infectious Diseases and Tropical Medicine, Medical Center of the University of Munich, Munich, Germany; German Center for Infection Research, partner site Munich, Munich, Germany.
Lancet Glob Health ; 9(11): e1517-e1527, 2021 11.
Article em En | MEDLINE | ID: mdl-34678196
ABSTRACT

BACKGROUND:

Over 1 year since the first reported case, the true COVID-19 burden in Ethiopia remains unknown due to insufficient surveillance. We aimed to investigate the seroepidemiology of SARS-CoV-2 among front-line hospital workers and communities in Ethiopia.

METHODS:

We did a population-based, longitudinal cohort study at two tertiary teaching hospitals involving hospital workers, rural residents, and urban communities in Jimma and Addis Ababa. Hospital workers were recruited at both hospitals, and community participants were recruited by convenience sampling including urban metropolitan settings, urban and semi-urban settings, and rural communities. Participants were eligible if they were aged 18 years or older, had provided written informed consent, and were willing to provide blood samples by venepuncture. Only one participant per household was recruited. Serology was done with Elecsys anti-SARS-CoV-2 anti-nucleocapsid assay in three consecutive rounds, with a mean interval of 6 weeks between tests, to obtain seroprevalence and incidence estimates within the cohorts.

FINDINGS:

Between Aug 5, 2020, and April 10, 2021, we did three survey rounds with a total of 1104 hospital workers and 1229 community residents participating. SARS-CoV-2 seroprevalence among hospital workers increased strongly during the study period in Addis Ababa, it increased from 10·9% (95% credible interval [CrI] 8·3-13·8) in August, 2020, to 53·7% (44·8-62·5) in February, 2021, with an incidence rate of 2223 per 100 000 person-weeks (95% CI 1785-2696); in Jimma Town, it increased from 30·8% (95% CrI 26·9-34·8) in November, 2020, to 56·1% (51·1-61·1) in February, 2021, with an incidence rate of 3810 per 100 000 person-weeks (95% CI 3149-4540). Among urban communities, an almost 40% increase in seroprevalence was observed in early 2021, with incidence rates of 1622 per 100 000 person-weeks (1004-2429) in Jimma Town and 4646 per 100 000 person-weeks (2797-7255) in Addis Ababa. Seroprevalence in rural communities increased from 18·0% (95% CrI 13·5-23·2) in November, 2020, to 31·0% (22·3-40·3) in March, 2021.

INTERPRETATION:

SARS-CoV-2 spread in Ethiopia has been highly dynamic among hospital worker and urban communities. We can speculate that the greatest wave of SARS-CoV-2 infections is currently evolving in rural Ethiopia, and thus requires focused attention regarding health-care burden and disease prevention.

FUNDING:

Bavarian State Ministry of Sciences, Research, and the Arts; Germany Ministry of Education and Research; EU Horizon 2020 programme; Deutsche Forschungsgemeinschaft; and Volkswagenstiftung.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recursos Humanos em Hospital / Características de Residência / COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Revista: Lancet Glob Health Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Recursos Humanos em Hospital / Características de Residência / COVID-19 Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Female / Humans / Male / Middle aged País/Região como assunto: Africa Idioma: En Revista: Lancet Glob Health Ano de publicação: 2021 Tipo de documento: Article