Mahmoudiani, Serajeddin, Javadi, Afshan, Janfaday, Maryam. (1401). The COVID-19 Mortality Rate and its Related Factors in Fars Province. سامانه مدیریت نشریات علمی, 11(1 (Supplement)), 226-232. doi: 10.30476/jhsss.2021.93666.1469
Serajeddin Mahmoudiani; Afshan Javadi; Maryam Janfaday. "The COVID-19 Mortality Rate and its Related Factors in Fars Province". سامانه مدیریت نشریات علمی, 11, 1 (Supplement), 1401, 226-232. doi: 10.30476/jhsss.2021.93666.1469
Mahmoudiani, Serajeddin, Javadi, Afshan, Janfaday, Maryam. (1401). 'The COVID-19 Mortality Rate and its Related Factors in Fars Province', سامانه مدیریت نشریات علمی, 11(1 (Supplement)), pp. 226-232. doi: 10.30476/jhsss.2021.93666.1469
Mahmoudiani, Serajeddin, Javadi, Afshan, Janfaday, Maryam. The COVID-19 Mortality Rate and its Related Factors in Fars Province. سامانه مدیریت نشریات علمی, 1401; 11(1 (Supplement)): 226-232. doi: 10.30476/jhsss.2021.93666.1469
The COVID-19 Mortality Rate and its Related Factors in Fars Province
1Department of Sociology and Social Planning, Shiraz University, Shiraz, Iran
2Department of Statistics, Vice Chancellor of Health, Shiraz University of Medical Sciences, Shiraz, Iran
Background: The outbreak of COVID-19 has become the current crisis in most countries. Therefore, paying attention to the consequences and determinants of COVID-19. Mortality can lead to better control of the condition. This study aimed to investigate the COVID-19 mortality rate and its demographic and health determinants in Fars province. Methods: This research was conducted using a quantitative method. For this purpose, available data for selected counties in Fars province were analyzed. The COVID-19 mortality rate was considered a dependent variable. In addition, the variables of literacy rate, urbanization rate, elderly population ratio, unemployment rate, the ratio of the active hospital, ratio of prehospital emergency stations, the ratio of centers for primary health care, and the ratio of active hospital beds were considered independent variables. Results: Findings showed that the variables of the elderly population ratio, urbanization rate, and unemployment rate had a direct relationship with the COVID-19 mortality rate. The findings also indicated that the COVID-19 mortality rate in the 45-49 age range begins to accelerate and peaks between 95 and 99 years old. In addition, the literacy rate was inversely related to the COVID-19 mortality rate. The results also showed an inverse relationship between all the selected health variables and the dependent variable. Conclusion: Improving the economic situation, specifically reducing the unemployment rate, emphasizing public education of the people, as well as improving the medical and health facilities, can facilitate the response to pandemics.
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