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Table · dataset · 2026

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

Listed in figshare

Policy makers in Africa need robust estimates of the current and future spread of SARS-CoV-2.

Description

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.

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A similar scenario across sub-Saharan Africa would have implications for balancing the consequences of restrictions with those of COVID-19.<br><br>Data record consists of tabular data, a PDF data dictionary, and an accompanying readme file. Further information on specific data can be found in the accompanying readme file.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75% · Epidemiology 72% · Tabular 75%
Provenance · 1 source records, 19 field assertions
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figshareoai:figshare.com:article/338206699 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:astronomymapping · figshare comconnector:figshare_com@1.0.0
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concepts[field].local:field:computer-science-aimapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare comconnector:figshare_com@1.0.0
concepts[field].local:field:economics-financemapping · figshare comconnector:figshare_com@1.0.0
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concepts[field].local:field:medicine-healthmapping · figshare comconnector:figshare_com@1.0.0
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