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

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Pan-African evolution of within- And between-country COVID-19 dynamics. / Ssentongo, P.; Fronterre, C.; Geronimo, A.; Greybush, S.J.; Mbabazi, P.K.; Muvawala, J.; Nahalamba, S.B.; Omadi, P.O.; Opar, B.T.; Sinnar, S.A.; Wang, Y.; Whalen, A.J.; Held, L.; Jewell, C.; Muwanguzi, A.J.B.; Greatrex, H.; Norton, M.M.; Diggle, P.J.; Schiff, S.J.

In: Proceedings of the National Academy of Sciences of the United States of America, Vol. 118, No. 28, e2026664118, 13.07.2021.

Research output: Contribution to journalJournal articlepeer-review

Harvard

Ssentongo, P, Fronterre, C, Geronimo, A, Greybush, SJ, Mbabazi, PK, Muvawala, J, Nahalamba, SB, Omadi, PO, Opar, BT, Sinnar, SA, Wang, Y, Whalen, AJ, Held, L, Jewell, C, Muwanguzi, AJB, Greatrex, H, Norton, MM, Diggle, PJ & Schiff, SJ 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, vol. 118, no. 28, e2026664118. https://doi.org/10.1073/pnas.2026664118

APA

Ssentongo, P., Fronterre, C., Geronimo, A., Greybush, S. J., Mbabazi, P. K., Muvawala, J., Nahalamba, S. B., Omadi, P. O., Opar, B. T., Sinnar, S. A., Wang, Y., Whalen, A. J., Held, L., Jewell, C., Muwanguzi, A. J. B., Greatrex, H., Norton, M. M., Diggle, P. J., & 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), [e2026664118]. https://doi.org/10.1073/pnas.2026664118

Vancouver

Ssentongo P, Fronterre C, Geronimo A, Greybush SJ, Mbabazi PK, Muvawala J et al. Pan-African evolution of within- And between-country COVID-19 dynamics. Proceedings of the National Academy of Sciences of the United States of America. 2021 Jul 13;118(28). e2026664118. https://doi.org/10.1073/pnas.2026664118

Author

Ssentongo, P. ; Fronterre, C. ; Geronimo, A. ; Greybush, S.J. ; Mbabazi, P.K. ; Muvawala, J. ; Nahalamba, S.B. ; Omadi, P.O. ; Opar, B.T. ; Sinnar, S.A. ; Wang, Y. ; Whalen, A.J. ; Held, L. ; Jewell, C. ; Muwanguzi, A.J.B. ; Greatrex, H. ; Norton, M.M. ; Diggle, P.J. ; Schiff, S.J. / Pan-African evolution of within- And between-country COVID-19 dynamics. In: Proceedings of the National Academy of Sciences of the United States of America. 2021 ; Vol. 118, No. 28.

Bibtex

@article{54bb93830f574898ab6c34a23b1ed82f,
title = "Pan-African evolution of within- And between-country COVID-19 dynamics",
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. {\textcopyright} 2021 National Academy of Sciences. All rights reserved.",
keywords = "Africa, COVID-19 modeling, Forecast, Human Development Index, Meteorology",
author = "P. Ssentongo and C. Fronterre and A. Geronimo and S.J. Greybush and P.K. Mbabazi and J. Muvawala and S.B. Nahalamba and P.O. Omadi and B.T. Opar and S.A. Sinnar and Y. Wang and A.J. Whalen and L. Held and C. Jewell and A.J.B. Muwanguzi and H. Greatrex and M.M. Norton and P.J. Diggle and S.J. Schiff",
year = "2021",
month = jul,
day = "13",
doi = "10.1073/pnas.2026664118",
language = "English",
volume = "118",
journal = "Proceedings of the National Academy of Sciences of the United States of America",
issn = "0027-8424",
publisher = "National Academy of Sciences",
number = "28",

}

RIS

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 -