Document Type : Original Article
Authors
1 Department of Sociology and Social Planning, Shiraz University, Shiraz, Iran
2 Department of Statistics, Vice Chancellor of Health, Shiraz University of Medical Sciences, Shiraz, Iran
Abstract
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.
Keywords
- Khosravi A, Taylor R, Naghavi M, Lopez AD. Mortality in the Islamic republic of Iran, 1964-2004. Bull World Health Org Supp. 2007; 85(8):607-614. doi: 10.2471/blt.06.038802. PMID: 17768519; PMCID: PMC2636375.
- Population Reference Bureau. World population data sheet. USA: Washington, D.C. available from: https://www.prb.org/wp-content/uploads/2020/07/letter-booklet-2020-world-population.pdf [accessed 8 November 2021].
- Heidary M. Covid-19 in Iran. J Clin Nurs Midwifery. 2020;4(3):572-573. available from: https://www.sid.ir/journal/issue/41674/fa.
- Khammarnia M, Peyvand M, Setoodehzadeh F. Global epidemic of the coronavirus and the impact of political and economic sanctions against Iran. Payesh. 2020;19(4):469-471. doi: 29252/payesh.19.4.469.
- Amraei M, Faraji Khiavi F. Control policies in Iran, South Korea, China and Germany against Covid-19: A cross country investigation. Payesh. 2020;19(6): 633-644. doi: 29252/payesh.19.6.633.
- Ahmadi F, Taghizadeh S, Esmaeeli S. Evaluating the quality of Covid-19 related information on the website of the Iran Ministry of Health and Medical Education. Payesh. 2021;20(2): 213-221. doi: 52547/payesh.20.2.213.
- Mosadeghrad A M, Dehnavi H, Isfahani P. Predicting COVID-19 epidemics using Google search trends. Payesh. 2021;20(2): 237-242. doi: 52547/payesh.20.2.237.
- Adeli O A, Rahimi kah kashi S. Estimating willingness to pay for the Covid-19 vaccine using the conditional valuation method. Payesh. 2021;20(2):223-236. doi: 52547/payesh.20.2.223.
- Bagheri Sheykhangafshe F. Coronavirus 2019 (COVID-19) vaccination: Prioritizing people with psychological disorders. Payesh. 2021;20(2):243-245. doi: 52547/payesh.20.2.243.
- Samadipour E, Ghardashi F. Factor influencing Iranians’ risk perception of Covid-19. J Mil Med. 2020; 22(2):122-129. URL: http://militarymedj.ir/article-1-2483-fa.html.
- Imani-Jajarmi H. Social consequences of the outbreak of coronavirus in Iranian society. Assessing Social Change. 2020; 1(2): 87-103. available from: https://www.sid.ir/paper/524157/fa.
- Menati H. Investigating the effects of the corona virus on the global economy. Assessing Social Change. 2020; 1(2): 163-181. available from: https://www.sid.ir/paper/524158/fa.
- Farahati M. Psychological consequences of coronavirus in society. Assessing Social Change. 2020; 1(2): 207-225. available from: https://www.sid.ir/paper/400413/fa.
- Bagherilankarani K, Khayamzadeh M. Upgrading the Covid National Control Program. Iran J Cult Health Promot. 2021; 5(2): 413-151. URL: http://ijhp.ir/article-1-419-fa.html.
- Abdi S, Abdollahpour A, Ahmadifar R, Savareh F, Arad M. The effectiveness of Covid-19 Lifestyle Training on Mental Health and Adherence to Health Protocols: Application of BASNEF Model. Rooyesh. 2021; 10(4): 109-122. URL: http://frooyesh.ir/article-1-2559-fa.html.
- Hamidehmoghadam A, Sharifipour-Chokami Z, Abolghasemi A. Predicting Adaptive Behaviors Against COVID-19 based on Affects, Self-compassion & Psychological Vulnerability. J Clin Psychol. 2021; 13(2): 65-74. doi: 22075/JCP.2021.22635.2084.
- Cao W, Chen C, Li M, Nie R, Lu Q, Song D, Li S, Yang T, Liu Y, Du B, Wang X. Important factors affecting COVID-19 transmission and fatality in metropolises. Public health. 2021; 190: 21-23. doi: org/10.1016/j.puhe.2020.11.00. PMID: 33339626; PMCID: PMC7674010.
- Zawbaa HM, El‐Gendy A, Saeed H, Osama H, Ali AM, Gomaa D, Abdelrahman M, Harb HS, Madney YM, Abdelrahim ME. A study of the possible factors affecting COVID‐19 spread, severity and mortality and the effect of social distancing on these factors: Machine learning forecasting model. Int. J. Clin. Pract. 2021; 75(6): e14116. doi: org/10.1111/ijcp.14116. PMID: 33639032; PMCID: PMC7995223.
- Cabo JM, Valera NA, Sánchez EJ, Sánchez MR, Machorro GS, Díaz CK. Demographic variables associated with Covid-19 mortality. J Public Health Res. 2020; 9(4): 463-469. doi: org/10.4081%2Fjphr.2020.1827. PMID: 33282790; PMCID: PMC7706362.
- Rajkumar RP. The relationship between demographic, socioeconomic, and health-related parameters and the impact of COVID-19 on 24 regions in India: Exploratory cross-sectional study. JMR Public Health Surveill. 2020; 6(4): e 23083. doi: org/10.2196/23083. PMID: 33147164; PMCID: PMC7717919.
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