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Effects of hydrometeorological and other factors on SARS-CoV-2 reproduction number in three contiguous countries of tropical Andean South America: a spatiotemporally disaggregated time series analysis.

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  • Additional Information
    • Source:
      Publisher: Elsevier Ltd Country of Publication: England NLM ID: 9918418183106676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2772-7076 (Electronic) Linking ISSN: 27727076 NLM ISO Abbreviation: IJID Reg Subsets: PubMed not MEDLINE
    • Publication Information:
      Original Publication: [Amsterdam] : Elsevier Ltd., [2021]-
    • Abstract:
      Background: The COVID-19 pandemic has caused societal disruption globally, and South America has been hit harder than other lower-income regions. This study modeled the effects of six weather variables on district-level SARS-CoV-2 reproduction numbers ( R t ) in three contiguous countries of tropical Andean South America (Colombia, Ecuador, and Peru), adjusting for environmental, policy, healthcare infrastructural and other factors.
      Methods: Daily time-series data on SARS-CoV-2 infections were sourced from the health authorities of the three countries at the smallest available administrative level. R t values were calculated and merged by date and unit ID with variables from a unified COVID-19 dataset and other publicly available sources for May-December, 2020. Generalized additive models were fitted.
      Findings: Relative humidity and solar radiation were inversely associated with SARS-CoV-2 R t . Days with radiation above 1000 kJ/m 2 saw a 1.3% reduction in R t , and those with humidity above 50% recorded a 0.9% reduction in R t . Transmission was highest in densely populated districts, and lowest in districts with poor healthcare access and on days with lowest population mobility. Wind speed, temperature, region, aggregate government policy response, and population age structure had little impact. The fully adjusted model explained 4.3% of R t variance.
      Interpretation: Dry atmospheric conditions of low humidity increase district-level SARS-CoV-2 reproduction numbers, while higher levels of solar radiation decrease district-level SARS-CoV-2 reproduction numbers - effects that are comparable in magnitude to population factors like lockdown compliance. Weather monitoring could be incorporated into disease surveillance and early warning systems in conjunction with more established risk indicators and surveillance measures.
      Funding: NASA's Group on Earth Observations Work Programme (16-GEO16-0047).
      Competing Interests: All authors declare no conflicts of interest or competing financial interests.
      (© 2022 The Authors. Published by Elsevier Ltd on behalf of International Society for Infectious Diseases.)
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    • Grant Information:
      U01GH002270 United States ACL ACL HHS
    • Contributed Indexing:
      Keywords: COVID-19; Colombia; Ecuador; Latin America; Peru; SARS-CoV-2; climate; coronavirus; hydrometeorology; pandemic disease
    • Publication Date:
      Date Created: 20221128 Latest Revision: 20231106
    • Publication Date:
      20240105
    • Accession Number:
      PMC9675637
    • Accession Number:
      10.1016/j.ijregi.2022.11.007
    • Accession Number:
      36437857