COVID-19 transmission dynamics underlying epidemic waves in Kenya

Science. 2021 Nov 19;374(6570):989-994. doi: 10.1126/science.abk0414. Epub 2021 Oct 7.

Abstract

Policy decisions on COVID-19 interventions should be informed by a local, regional and national understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission. Epidemic waves may result when restrictions are lifted or poorly adhered to, variants with new phenotypic properties successfully invade, or infection spreads to susceptible subpopulations. Three COVID-19 epidemic waves have been observed in Kenya. Using a mechanistic mathematical model, we explain the first two distinct waves by differences in contact rates in high and low social-economic groups, and the third wave by the introduction of higher-transmissibility variants. Reopening schools led to a minor increase in transmission between the second and third waves. Socioeconomic and urban–rural population structure are critical determinants of viral transmission in Kenya.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • COVID-19 / epidemiology*
  • COVID-19 / transmission*
  • COVID-19 / virology
  • COVID-19 Nucleic Acid Testing
  • Communicable Disease Control
  • Epidemics
  • Humans
  • Incidence
  • Kenya / epidemiology
  • Models, Biological
  • Seroepidemiologic Studies
  • Social Class
  • Socioeconomic Factors