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Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Pan-African evolution of within- And between-country COVID-19 dynamics
AU - Ssentongo, P.
AU - Fronterre, C.
AU - Geronimo, A.
AU - Greybush, S.J.
AU - Mbabazi, P.K.
AU - Muvawala, J.
AU - Nahalamba, S.B.
AU - Omadi, P.O.
AU - Opar, B.T.
AU - Sinnar, S.A.
AU - Wang, Y.
AU - Whalen, A.J.
AU - Held, L.
AU - Jewell, C.
AU - Muwanguzi, A.J.B.
AU - Greatrex, H.
AU - Norton, M.M.
AU - Diggle, P.J.
AU - Schiff, S.J.
PY - 2021/7/13
Y1 - 2021/7/13
N2 - 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.
AB - 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.
KW - Africa
KW - COVID-19 modeling
KW - Forecast
KW - Human Development Index
KW - Meteorology
U2 - 10.1073/pnas.2026664118
DO - 10.1073/pnas.2026664118
M3 - Journal article
VL - 118
JO - Proceedings of the National Academy of Sciences of the United States of America
JF - Proceedings of the National Academy of Sciences of the United States of America
SN - 0027-8424
IS - 28
M1 - e2026664118
ER -