Related Experiment Video
Updated: Sep 20, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
Published on: November 10, 2023
Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran
Marjan Zare1, Ali Semati2, Alireza Mirahmadizadeh3
1Maternal-fetal medicine Research Centre, Shiraz University of Medical Sciences, Shiraz. marjan.zare@gmail.com.
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.
Related Concept Videos
Steps in Outbreak Investigation
Causality in Epidemiology
Introduction to Epidemiology
Statistical Methods for Analyzing Epidemiological Data
Factors Affecting Illness
For instance, risk factors are connected to illness,...
Bias in Epidemiological Studies

