Brand SPC
Ojal J
Aziza R
Were V
Okiro EA
Kombe IK
Mburu C
Ogero M
Agweyu A
Warimwe GM
Nyagwange J
Karanja H
Gitonga JN
Mugo D
Uyoga S
Adetifa IMO
Scott JAG
Otieno E
Murunga N
Otiende M
Ochola-Oyier LI
Agoti CN
Githinji G
Kasera K
Amoth P
Mwangangi M
Aman R
Ng'ang'a W
Tsofa B
Bejon P
Keeling MJ
Nokes DJ
Barasa E
Science. 2021;374989-994
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.