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자료유형
학술저널
저자정보
Mikiro Kato (Department of General Internal Medicine, Mito Kyodo General Hospital, University of Tsukuba, Tsukub) Tomoko Sakihama (International University of Health and Welfare Graduate School, Tokyo, Japan) Yoshio Kinjo (Okinawa High School of Technology, Naha, Japan) David Itokazu (Okinawa Asia Clinical Investigation Synergy, Naha, Japan) Yasuharu Tokuda (Muribushi Okinawa Center for Teaching Hospitals, Urasoe, Japan)
저널정보
대한가정의학회 Korean Journal of Family Medicine Korean Journal of Family Medicine 제43권 제1호
발행연도
2022.1
수록면
37 - 41 (5page)
DOI
10.4082/kjfm.20.0260

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Background: Effect of meteorological factors such as air temperature, humidity, and sunlight exposure on trans-mission dynamics of novel coronavirus disease 2019 (COVID-19) remains controversial. We investigated the asso-ciation 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 num-ber 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 hu-midity, 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% con-fidence 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.

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