4.8 Article

Variation in SARS-CoV-2 outbreaks across sub-Saharan Africa

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NATURE MEDICINE
卷 27, 期 3, 页码 447-+

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NATURE PORTFOLIO
DOI: 10.1038/s41591-021-01234-8

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资金

  1. Cooperative Institute for Modeling the Earth System
  2. National Institutes of Health Medical Scientist Training Program [1T32GM136577]
  3. Bill & Melinda Gates Foundation [OPP1182425, OPP1134076, INV-002697]
  4. Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Dutch Rsearch Council) Rubicon [019.192EN.017]
  5. ESRC SCDTP [ES/P000673/1]
  6. Center for Health and Wellbeing, Princeton University
  7. Bill and Melinda Gates Foundation [INV-002697, OPP1182425] Funding Source: Bill and Melinda Gates Foundation

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The SARS-CoV-2 pandemic has shown low burdens in sub-Saharan Africa compared to other regions, potentially influenced by factors such as climate and population demographics. Caution is needed when interpreting analyses that aggregate data from low- and middle-income settings. Heterogeneity in connectivity across sub-Saharan Africa may contribute to variance in the pace of viral spread.
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 (for example, warmer environments(1), younger populations(2-4)) have yet to be framed within a comprehensive analysis. We synthesized factors hypothesized to drive the pace and burden of this pandemic in SSA during the period from 25 February to 20 December 2020, encompassing demographic, comorbidity, climatic, healthcare capacity, intervention efforts and human mobility dimensions. Large diversity in the probable drivers indicates a need for caution in interpreting analyses that aggregate data across low- and middle-income settings. Our simulation shows that climatic variation between SSA population centers has little effect on early outbreak trajectories; however, heterogeneity in connectivity, although rarely considered, is likely an important contributor to variance in the pace of viral spread across SSA. Our synthesis points to the potential benefits of context-specific adaptation of surveillance systems during the ongoing pandemic. In particular, characterizing patterns of severity over age will be a priority in settings with high comorbidity burdens and poor access to care. Understanding the spatial extent of outbreaks warrants emphasis in settings where low connectivity could drive prolonged, asynchronous outbreaks resulting in extended stress to health systems.

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