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Author Notes:

Dr. Eric Osoro, Washington State University Global Health Kenya, One Padmore Place, George Padmore Road, Off Ngong Road, Nairobi, Kenya. Telephone: +254-722216391

Conceptualization: IN, JD, NO, PA, LM, CNW, BN, OO, CN, MKN, EO. Data curation: DM, EO. Formal analysis: IN, JD, BN, DM, MKN, EO. Funding acquisition: EH, MKN, MB, AHR, EO. Investigation: IN, JD, EH, NO, MM, CN, HM, DM, DO, MDA, EO. Methodology: IN, JD, NO, PA, LM, CNW, BG, BN, OO, CN, HM, DM, OA, MKN, EO. Project administration: IN, JD, HM, EO. Resources: EH, MM, OA, MKN, MB, AHR, EO. Software: DM. Supervision: IN, JD, PA, LM, CNW, OO, CN, OA, MKN, EO. Validation: IN, JD, MM, BG, JG, MKN, EO. Visualization: IN, JD, CNW, JG, DM, MKN. Writing – original draft: IN, JD, CNW, DM, RB, JG, MKN, EO. All authors reviewed and edited the manuscript.

We thank the Kenya Ministry of Health (MOH), Nairobi City County, and Nairobi Metropolitan Services for granting permission and actively participating in public sensitization for the study. We acknowledge the Kenya Medical Research Institute (KEMRI), which provided ethical approval, oversight, and field staff who carried out household visits. We would also like to thank the Washington State University Global Health Kenya research and administration staff who supported the project. We would like to thank Patrick Mwaura (KAVI-Institute of Clinical Research, University of Nairobi, Kenya) and Ruth Njoroge (Washington State University Global Health Kenya) for their technical support.

The authors declare that they have no competing interests.

Subject:

Research Funding:

Funding was provided by the US National Institutes of Health (NIH), grant number U01AI151799, through the Centre for Research in Emerging Infectious Diseases – East and Central Africa (CREID-ECA).

Keywords:

  • Science & Technology
  • Life Sciences & Biomedicine
  • Infectious Diseases
  • COVID-19 pandemic
  • SARS-CoV-2
  • Seroprevalence
  • Disease underreporting
  • Infection underestimation
  • ANTIBODY

High seroprevalence of SARS-CoV-2 but low infection fatality ratio eight months after introduction in Nairobi, Kenya

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Journal Title:

INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES

Volume:

Volume 112

Publisher:

, Pages 25-34

Type of Work:

Article | Final Publisher PDF

Abstract:

Background: The lower than expected COVID-19 morbidity and mortality in Africa has been attributed to multiple factors, including weak surveillance. This study estimated the burden of SARS-CoV-2 infections eight months into the epidemic in Nairobi, Kenya. Methods: A population-based, cross-sectional survey was conducted using multi-stage random sampling to select households within Nairobi in November 2020. Sera from consenting household members were tested for antibodies to SARS-CoV-2. Seroprevalence was estimated after adjusting for population structure and test performance. Infection fatality ratios (IFRs) were calculated by comparing study estimates with reported cases and deaths. Results: Among 1,164 individuals, the adjusted seroprevalence was 34.7% (95% CI 31.8-37.6). Half of the enrolled households had at least one positive participant. Seropositivity increased in more densely populated areas (spearman's r=0.63; p=0.009). Individuals aged 20-59 years had at least two-fold higher seropositivity than those aged 0-9 years. The IFR was 40 per 100,000 infections, with individuals ≥60 years old having higher IFRs. Conclusion: Over one-third of Nairobi residents had been exposed to SARS-CoV-2 by November 2020, indicating extensive transmission. However, the IFR was >10-fold lower than that reported in Europe and the USA, supporting the perceived lower morbidity and mortality in sub-Saharan Africa.

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© 2021 The Author(s)

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