Benny Rice, PhD

Associate Research Scholar, EEB, Princeton University

High variation expected in the pace and burden of SARS-CoV-2 outbreaks across sub-Saharan Africa


Journal article


Benjamin L. Rice, A. Annapragada, Rachel E. Baker, M. Bruijning, Winfred Dotse-Gborgbortsi, K. Mensah, Ian F. Miller, N. V. Motaze, A. Raherinandrasana, M. Rajeev, J. Rakotonirina, T. Ramiadantsoa, Fidisoa Rasambainarivo, Weiyu Yu, B. Grenfell, A. Tatem, C. Metcalf
medRxiv, 2020

Semantic Scholar DOI PubMedCentral PubMed
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APA   Click to copy
Rice, B. L., Annapragada, A., Baker, R. E., Bruijning, M., Dotse-Gborgbortsi, W., Mensah, K., … Metcalf, C. (2020). High variation expected in the pace and burden of SARS-CoV-2 outbreaks across sub-Saharan Africa. MedRxiv.


Chicago/Turabian   Click to copy
Rice, Benjamin L., A. Annapragada, Rachel E. Baker, M. Bruijning, Winfred Dotse-Gborgbortsi, K. Mensah, Ian F. Miller, et al. “High Variation Expected in the Pace and Burden of SARS-CoV-2 Outbreaks across Sub-Saharan Africa.” medRxiv (2020).


MLA   Click to copy
Rice, Benjamin L., et al. “High Variation Expected in the Pace and Burden of SARS-CoV-2 Outbreaks across Sub-Saharan Africa.” MedRxiv, 2020.


BibTeX   Click to copy

@article{benjamin2020a,
  title = {High variation expected in the pace and burden of SARS-CoV-2 outbreaks across sub-Saharan Africa},
  year = {2020},
  journal = {medRxiv},
  author = {Rice, Benjamin L. and Annapragada, A. and Baker, Rachel E. and Bruijning, M. and Dotse-Gborgbortsi, Winfred and Mensah, K. and Miller, Ian F. and Motaze, N. V. and Raherinandrasana, A. and Rajeev, M. and Rakotonirina, J. and Ramiadantsoa, T. and Rasambainarivo, Fidisoa and Yu, Weiyu and Grenfell, B. and Tatem, A. and Metcalf, C.}
}

Abstract

A surprising feature of the SARS-CoV-2 pandemic to date is the low burdens reported in sub-Saharan Africa (SSA) countries relative to other global regions. Potential explanations (e.g., warmer environments [1], younger populations [2,3,4]) have yet to be framed within a comprehensive analysis accounting for factors that may offset the effects of climate and demography. Here, we synthesize factors hypothesized to shape the pace of this pandemic and its burden as it moves across SSA, encompassing demographic, comorbidity, climatic, healthcare and intervention capacity, and human mobility dimensions of risk. We find large scale diversity in probable drivers, such that outcomes are likely to be highly variable among SSA countries. While simulation shows that extensive climatic variation among SSA population centers has little effect on early outbreak trajectories, heterogeneity in connectivity is likely to play a large role in shaping the pace of viral spread. The prolonged, asynchronous outbreaks expected in weakly connected settings may result in extended stress to health systems. In addition, the observed variability in comorbidities and access to care will likely modulate the severity of infection: We show that even small shifts in the infection fatality ratio towards younger ages, which are likely in high risk settings, can eliminate the protective effect of younger populations. We highlight countries with elevated risk of slow pace, high burden outbreaks. Empirical data on the spatial extent of outbreaks within SSA countries, their patterns in severity over age, and the relationship between epidemic pace and health system disruptions are urgently needed to guide efforts to mitigate the high burden scenarios explored here.





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