Combining data on antibody prevalence, PCR test results, genomic surveillance and population mobility from smartphones has allowed infectious disease modelers to explain the evolution of the first three Covid-19 waves that have affected Kenya since the start of the pandemic.
Modelling jointly undertaken by the University of Warwick and KEMRI-Wellcome Trust Research Programme in Kenya explains the COVID-19 pandemic in Kenya as sequential waves of transmission through different socio-economic groups, followed by infection boosted by the introduction of new variants.
The study has been published in the journal Science and received funding through the Joint Initiative on Research in Epidemic Preparedness and Response, a collaboration between Wellcome and the Foreign, Commonwealth and Development Office (FCDO), as well as funding from the National Institute for Health Research (NIHR).
Forecasting the future spread of…
