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SARS-CoV-2 Prevalence in Malawi Based on Data from Survey of Communities and Health Workers in 5 High-Burden Districts, October 2020

  • Public Health Institute of Malawi COVID-19 surveillance committee
  • , Joe Alex Theu
  • , Alinune Nathanael Kabaghe
  • , George Bello
  • , Evelyn Chitsa-Banda
  • , Matthews Kagoli
  • , Andrew Auld
  • , Jonathan Mkungudza
  • , Gabrielle O’Malley
  • , Fred Fredrick Bangara
  • , Elizabeth F. Peacocke
  • , Yusuf Babaye
  • , Wingston Ng’ambi
  • , Christel Saussier
  • , Ellen MacLachlan
  • , Gertrude Chapotera
  • , Mphatso Dennis Phiri
  • , Evelyn Kim
  • , Mabvuto Chiwaula
  • , Danielle Payne
  • Nellie Wadonda-Kabondo, Annie Chauma-Mwale, Titus Henry Divala
  • University of Washington
  • Centers for Disease Control and Prevention
  • Ministry of Health, Malawi
  • University of Washington
  • Norwegian Institute of Public Health
  • Kamuzu University of Health Sciences
  • Liverpool School of Tropical Medicine

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

To determine early COVID-19 burden in Malawi, we conducted a multistage cluster survey in 5 districts. During October–December 2020, we recruited 5,010 community members (median age 32 years, interquartile range 21–43 years) and 1,021 health facility staff (HFS) (median age 35 years, interquartile range 28–43 years). Real-time PCR–confirmed SARS-CoV-2 infection prevalence was 0.3% (95% CI 0.2%–0.5%) among community and 0.5% (95% CI 0.1%–1.2%) among HFS participants; seroprevalence was 7.8% (95% CI 6.3%–9.6%) among community and 9.7% (95% CI 6.4%–14.5%) among HFS participants. Most seropositive community (84.7%) and HFS (76.0%) participants were asymptomatic. Seroprevalence was higher among urban community (12.6% versus 3.1%) and HFS (14.5% versus 7.4%) than among rural community participants. Cumulative infection findings 113-fold higher from this survey than national statistics (486,771 versus 4,319) and predominantly asymptomatic infections highlight a need to identify alternative surveillance approaches and predictors of severe disease to inform national response.
Original languageEnglish
Pages (from-to)S76-S84
JournalEmerging Infectious Diseases
Volume28
Issue number13
DOIs
Publication statusPublished - 1 Dec 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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