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Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran.
Zare, Marjan; Semati, Ali; Mirahmadizadeh, Alireza; Hemmati, Abdulrasool; Ebrahimi, Mostafa.
  • Zare M; Maternal-fetal medicine Research Centre, Shiraz University of Medical Sciences, Shiraz. marjan.zare@gmail.com.
  • Semati A; Non-communicable diseases Research Centre, Shiraz University of Medical Sciences, Shiraz. semati.epid77@gmail.com.
  • Mirahmadizadeh A; Non-communicable diseases Research Centre, Shiraz University of Medical Sciences, Shiraz. mirahmadia@sums.com.
  • Hemmati A; Non-communicable diseases Research Centre, Shiraz University of Medical Sciences, Shiraz. r.hemmati@gmail.com.
  • Ebrahimi M; Communicable Disease Control Centre, Shiraz University of Medical Sciences, Shiraz. ebrahimi.m.cdc@gmail.com.
Geospat Health ; 17(s1)2022 06 08.
Article in English | MEDLINE | ID: covidwho-1893084
ABSTRACT
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Experimental Studies / Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Year: 2022 Document Type: Article