Ssentongo, P. and Fronterre, C. and Geronimo, A. and Greybush, S.J. and Mbabazi, P.K. and Muvawala, J. and Nahalamba, S.B. and Omadi, P.O. and Opar, B.T. and Sinnar, S.A. and Wang, Y. and Whalen, A.J. and Held, L. and Jewell, C. and Muwanguzi, A.J.B. and Greatrex, H. and Norton, M.M. and Diggle, P.J. and Schiff, S.J. (2021) Pan-African evolution of within- And between-country COVID-19 dynamics. Proceedings of the National Academy of Sciences of the United States of America, 118 (28): e202666411. ISSN 0027-8424
Full text not available from this repository.Abstract
The coronavirus disease 2019 (COVID-19) pandemic is heterogeneous throughout Africa and threatening millions of lives. Surveillance and short-term modeling forecasts are critical to provide timely information for decisions on control strategies. We created a strategy that helps predict the country-level case occurrences based on cases within or external to a country throughout the entire African continent, parameterized by socioeconomic and geoeconomic variations and the lagged effects of social policy and meteorological history. We observed the effect of the Human Development Index, containment policies, testing capacity, specific humidity, temperature, and landlocked status of countries on the local within-country and external between-country transmission. One-week forecasts of case numbers from the model were driven by the quality of the reported data. Seeking equitable behavioral and social interventions, balanced with coordinated country-specific strategies in infection suppression, should be a continental priority to control the COVID-19 pandemic in Africa. © 2021 National Academy of Sciences. All rights reserved.