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Revealing the extent of the first wave of the COVID-19 pandemic in Kenya based on serological and PCR-test data.

John OjalSamuel P C BrandVincent WereEmelda A OkiroIvy K KombeCaroline MburuRabia AzizaMorris OgeroAmbrose AgweyuGeorge M WarimweSophie UyogaIfedayo M O AdetifaJ Anthony G ScottEdward OtienoLynette I Ochola-OyierCharles N AgotiKadondi KaseraPatrick AmothMercy MwangangiRashid AmanWangari Ng'ang'aBenjamin TsofaPhilip BejonEdwine BarasaMatt J KeelingDavid James Nokes
Published in: Wellcome open research (2021)
Policymakers in Africa need robust estimates of the current and future spread of SARS-CoV-2. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya up to the end of September 2020, which encompasses the first wave of SARS-CoV-2 transmission in the country. We estimate that the first wave of the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 30-50% of residents infected. Our analysis suggests, first, that the reported low COVID-19 disease burden in Kenya cannot be explained solely by limited spread of the virus, and second, that a 30-50% attack rate was not sufficient to avoid a further wave of transmission.
Keyphrases
  • sars cov
  • respiratory syndrome coronavirus
  • electronic health record
  • coronavirus disease
  • public health
  • big data
  • quality improvement
  • cross sectional
  • risk factors
  • artificial intelligence
  • deep learning