Pan-African evolution of within- And between-country COVID-19 dynamics

Paddy Ssentongo, Claudio Fronterre, Andrew Geronimo, Steven J. Greybush, Pamela K. Mbabazi, Joseph Muvawala, Sarah B. Nahalamba, Philip O. Omadi, Bernard T. Opar, Shamim A. Sinnar, Yan Wang, Andrew J. Whalen, Leonhard Held, Christopher Jewell, Abraham J.B. Muwanguzi, Helen Greatrex, Michael Meredith Norton, Peter J. Diggle, Steven J. Schiff

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

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.

Original languageEnglish (US)
Article numbere2026664118
JournalProceedings of the National Academy of Sciences of the United States of America
Volume118
Issue number28
DOIs
StatePublished - Jul 13 2021

All Science Journal Classification (ASJC) codes

  • General

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