Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran

Submitted: 25 December 2021
Accepted: 19 April 2022
Published: 8 June 2022
Abstract Views: 619
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This study aimed at detecting space-time clusters of COVID-19 cases in Fars Province, Iran and at investigating their potential association with meteorological factors, such as temperature, precipitation and wind velocity. Time-series data including 53,554 infected people recorded in 26 cities from 18 February to 30 September 2020 together with 5876 meteorological records were subjected to the analysis. Applying a significance level of P<0.05, the analysis of space-time distribution of COVID-19 resulted in nine significant outbreaks within the study period. The most likely cluster occurred from 27 March to 13 July 2020 and contained 11% of the total cases with eight additional, secondary clusters. We found that the COVID-19 incidence rate was affected by high temperature (OR=1.64; 95% CI: 1.44-1.87), while precipitation and wind velocity had less effect (OR=0.84; 95% CI: 0.75-0.89 and OR=0.27; 95% CI: 0.14-0.51), respectively.



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How to Cite

Zare, M. ., Semati, A., Mirahmadizadeh, A., Hemmati, A. ., & Ebrahimi, M. . (2022). Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran. Geospatial Health, 17(s1).