• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

Korean J Fam Med . Effect of Climate on COVID-19 Incidence: A Cross-Sectional Study in Japan

tetano

Editor, Senior Moderator
Korean J Fam Med


. 2022 Jan;43(1):37-41.
doi: 10.4082/kjfm.20.0260. Epub 2022 Jan 20.
Effect of Climate on COVID-19 Incidence: A Cross-Sectional Study in Japan


Mikiro Kato[SUP] 1 [/SUP], Tomoko Sakihama[SUP] 2 [/SUP], Yoshio Kinjo[SUP] 3 [/SUP], David Itokazu[SUP] 4 [/SUP], Yasuharu Tokuda[SUP] 5 [/SUP]



Affiliations

Abstract

Background: Effect of meteorological factors such as air temperature, humidity, and sunlight exposure on transmission dynamics of novel coronavirus disease 2019 (COVID-19) remains controversial. We investigated the association of these factors on COVID-19 incidence in Japan.
Methods: We analyzed data on reverse transcription polymerase chain reaction confirmed COVID-19 cases for each prefecture (total=47) in Japan and incidence rate was defined as the number of all reported cumulative cases from January 15 to March 17, 2020. Independent variables of each prefecture included three climatic variables (mean values of air temperature, relative humidity, and sunlight exposure), population elderly ratio, and the number of inbound travelers from China during February 2020. Multivariable-adjusted Poisson regression model was constructed to estimate COVID-19 incidence rate ratio (IRR) of independent variables.
Results: There was a total of 702 cases during the study period in Japan (population=125, 900,000). Mean±standard deviation values of meteorological variables were 7.12°C±2.91°C for air temperature, 67.49%±7.63% for relative humidity, and 46.77±12.55% for sunlight exposure. Poisson regression model adjusted for climate variables showed significant association between the incidence and three climatic variables: IRR for air temperature 0.854 (95% confidence interval [CI], 0.804-0.907; P<0.0001), relative humidity 0.904 (95% CI, 0.864-0.945; P<0.0001), and sunlight exposure 0.973 (95% CI, 0.951-0.997; P=0.026).
Conclusion: Higher values of air temperature, relative humidity and sunlight exposure were associated with lower incidence of COVID-19. Public health interventions against COVID-19 epidemic in a country should be developed by considering these meteorological factors.

Keywords: Air Pollution; COVID-19; Climate; Meteorology; SARS-Cov-2.
 
Back
Top Bottom