PropertyValue
?:abstract
  • Background:It is unknown if COVID-19 will exhibit seasonal pattern as other diseases e.g., seasonal influenza. Similarly, some environmental factors (e.g., temperature, humidity) have been shown to be associated with transmission of SARS-CoV and MERS-CoV, but global data on their association with COVID-19 are scarce.Objective: To examine the association between climatic factors and COVID-19.Methods: We used multilevel mixed-effects (two-level random-intercepts) negative binomial regression models to examine the association between 7- and 14-day-lagged temperature, humidity (relative and absolute), wind speed and UV index and COVID-19 cases, adjusting for Gross Domestic Products, Global Health Security Index, cloud cover (%), precipitation (mm), sea-level air-pressure (mb), and daytime length. The effects estimates are reported as adjusted rate ratio (aRR) and their corresponding 95% confidence interval (CI).Results: Data from 206 countries (until April 20, 2020) with ≥100 reported cases each showed no association between COVID-19 cases and 7-day-lagged temperature, relative humidity, UV index, and wind speed, after adjusting for potential confounders, but a positive association with 14-day-lagged temperature and a negative association with 14-day-lagged wind speed. Compared to an absolute humidity <5g/m(3), an absolute humidity of 5-10g/m(3) was associated with a 23% (95% CI:6-42%) higher rate of COVID-19 cases, while absolute humidity >10g/m(3) did not have a significant effect. These findings were robust in the 14-day-lagged analysis.Conclusion: Our results of higher COVID-19 cases (through April 20) at absolute humidity of 5-10g/m(3) may be suggestive of a ‘sweet point’ for viral transmission, however only controlled laboratory experiments can decisively prove it.
is ?:annotates of
?:creator
?:doi
?:doi
  • 10.1016/j.envres.2020.110355
?:journal
  • Environ_Res
?:license
  • no-cc
?:pdf_json_files
  • document_parses/pdf_json/3bb2aab9dea2c66ca46ed9305723203a77faa3eb.json
?:pmc_json_files
  • document_parses/pmc_json/PMC7591297.xml.json
?:pmcid
?:pmid
?:pmid
  • 33127399.0
?:publication_isRelatedTo_Disease
?:sha_id
?:source
  • Elsevier; Medline; PMC
?:title
  • COVID-19 and climatic factors: A global analysis
?:type
?:year
  • 2020-10-28

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