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

Ojal, JORCID logo; Brand, SPORCID logo; Were, VORCID logo; Okiro, EAORCID logo; Kombe, IKORCID logo; Mburu, CORCID logo; Aziza, RORCID logo; Ogero, MORCID logo; Agweyu, AORCID logo; Warimwe, GMORCID logo; +16 more...Uyoga, SORCID logo; Adetifa, IMORCID logo; Scott, JAGORCID logo; Otieno, EORCID logo; Ochola-Oyier, LIORCID logo; Agoti, CNORCID logo; Kasera, K; Amoth, P; Mwangangi, M; Aman, R; Ng’ang’a, WORCID logo; Tsofa, BORCID logo; Bejon, PORCID logo; Barasa, EORCID logo; Keeling, MJORCID logo; Nokes, DJORCID logo and (2020) Revealing the extent of the COVID-19 pandemic in Kenya based on serological and PCR-test data. medrxiv. DOI: 10.1101/2020.09.02.20186817 (Submitted)
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Abstract

Policy makers in Africa need robust estimates of the current and future spread of SARS-CoV-2. Data suitable for this purpose are scant. We used national surveillance PCR test, serological survey and mobility data to develop and fit a county-specific transmission model for Kenya. We estimate that the SARS-CoV-2 pandemic peaked before the end of July 2020 in the major urban counties, with 34 - 41% of residents infected, and will peak elsewhere in the country within 2-3 months. Despite this penetration, reported severe cases and deaths are low. Our analysis suggests the COVID-19 disease burden in Kenya may be far less than initially feared. A similar scenario across sub-Saharan Africa would have implications for balancing the consequences of restrictions with those of COVID-19.


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