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:: Volume 10, Issue 1 (12-2022) ::
jehe 2022, 10(1): 39-50 Back to browse issues page
Investigating the mortality rate caused by COVID-19 diseases in high-risk groups and its relationship with climatic conditions (case study Isfahan - Iran)
Saeideh Moradalizadeh , Majid Hashemi * , Maryam Faraji , Hamidreza Tohidinik , Parand Arbab
Environmental Health Engineering Research Center, Kerman University of Medical Sciences, Kerman, Iran-Department of Environmental Health Engineering, Faculty of Public Health, Kerman University of Medical Sciences, Kerman, Iran
Abstract:   (269 Views)
Background and Objective: The underlying disease plays an important role in the severity and mortality rate caused by covid-19. On the other hand environmental factors such as climatic conditions can affect the dynamics of many infectious diseases. The main purpose of this research was determination of mortality caused by Covid-19 in high-risk groups and its relation with climatic conditions in Isfahan city from Feb 2020 to the end of Dec 2020.
Materials: In the study period, the number of people included in the study by census (81881 person). To collect data, an information collection form was used, including the person's condition in terms of severity of illness and hospitalization, along with demographic information (age and gender) and their type of illness. Also, climatic parameters such as average temperature, relative humidity, precipitation, and wind speed during the study period were obtained separately for each month from the website of Isfahan Meteorology Department and the data were analyzed by SPSS software (p<0.05).
Results: The number of infected people in Nov 2020 was the number of 20130. There was no significant relationship between the variables of temperature, relative humidity and precipitation with the rate of morbidity. But the average wind speed had a significant inverse relationship with the morbidity rate. Also, there was no significant relationship between the variables of climatic conditions and the rate of mortality caused by Covid-19.
Conclusion: The result of Poisson regression on all high-risk people (with underlying disease) to investigate the mortality rate by month, except for the precipitation variable, was significant for other variables.

Keywords: Covid 19, Corona virus, Climatic conditions, High risk groups
Full-Text [PDF 1107 kb]   (198 Downloads)    
Type of Study: Research | Subject: Special
Received: 2023/02/1 | Accepted: 2023/04/3 | Published: 2023/07/10
References
1. Mecenas P, Bastos RTdRM, Vallinoto ACR, Normando D. Effects of temperature and humidity on the spread of COVID-19: A systematic review. PLoS one 2020;15(9): e0238339. [DOI:10.1371/journal.pone.0238339] [PMID] []
2. Hadavi I, Hashemi M, Asadikaram G, et al. Investigation of SARS-CoV-2 Genome in the Indoor Air and High-Touch Surfaces. International Journal of Environmental Research 2022;16(6): 103. [DOI:10.1007/s41742-022-00462-1] [PMID] []
3. Shi P, Dong Y, Yan H, et al. Impact of temperature on the dynamics of the COVID-19 outbreak in China. Science of the total environment 2020;728: 138890. [DOI:10.1016/j.scitotenv.2020.138890] [PMID] []
4. Bashir MF, Ma B, Komal B, et al. Correlation between climate indicators and COVID-19 pandemic in New York, USA. Science of the Total Environment 2020;728: 138835. [DOI:10.1016/j.scitotenv.2020.138835] [PMID] []
5. Iqbal MM, Abid I, Hussain S, et al. The effects of regional climatic condition on the spread of COVID-19 at global scale. Science of the Total Environment 2020;739: 140101. [DOI:10.1016/j.scitotenv.2020.140101] [PMID] []
6. Javanmardi F, Keshavarzi A, Akbari A, et al. Prevalence of underlying diseases in died cases of COVID-19: A systematic review and meta-analysis. PloS one 2020;15(10): e 0241265. [DOI:10.1371/journal.pone.0241265] [PMID] []
7. Organization WH. WHO coronavirus disease (COVID-19) dashboard: situation by country, territory & area. WHO web site-Data last updated 2020;4.
8. National Committe of COVID19 Epidemiology and Iranian CDC MoHaME, IR,Iran. Analysis of epidemic trend by province of IRAN Situation report on Coronavirus disease (Covid 19) in Iran.
9. Nikpouraghdam M, Farahani AJ, Alishiri G, et al. Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN: A single center study. Journal of Clinical Virology 2020;127: 104378. [DOI:10.1016/j.jcv.2020.104378] [PMID] []
10. Alam MS, Sultana R. Influences of climatic and non-climatic factors on COVID-19 outbreak: a review of existing literature. Environmental Challenges 2021;5: 100255. [DOI:10.1016/j.envc.2021.100255] [PMID] []
11. Abdolahnejad A, Jafari N, Mohammadi A, et al. Mortality and morbidity due to exposure to ambient NO2, SO2, and O3 in Isfahan in 2013-2014. International journal of preventive medicine 2018;9. [DOI:10.4103/ijpvm.IJPVM_387_16] [PMID] []
12. Najafabadi A, Mahaki B, Hajizadeh Y. Spatiotemporal modeling of airborne fine particulate matter distribution in Isfahan. International Journal of Environmental Health Engineering 2020;9(1): 9-.
13. Kang Y-J. Mortality rate of infection with COVID-19 in Korea from the perspective of underlying disease. Disaster medicine and public health preparedness 2020;14(3): 384-6. [DOI:10.1017/dmp.2020.60] [PMID] []
14. Haybar H, Kazemnia K, Rahim F. Underlying chronic disease and COVID-19 infection: a state-of-the-art review. Jundishapur Journal of Chronic Disease Care 2020;9(2). [DOI:10.5812/jjcdc.103452]
15. Wang J, Tang K, Feng K, Lv W. High temperature and high humidity reduce the transmission of COVID-19. Available at SSRN 2020;3551767: 2020b. [DOI:10.2139/ssrn.3551767]
16. Ma Y, Zhao Y, Liu J, et al. Effects of temperature variation and humidity on the death of COVID-19 in Wuhan, China. Science of the total environment 2020;724: 138226. [DOI:10.1016/j.scitotenv.2020.138226] [PMID] []
17. Tosepu R, Gunawan J, Effendy DS, et al. Correlation between weather and Covid-19 pandemic in Jakarta, Indonesia. Science of the total environment 2020;725: 138436. [DOI:10.1016/j.scitotenv.2020.138436] []
18. Sobral MFF, Duarte GB, da Penha Sobral AIG, et al. Association between climate variables and global transmission oF SARS-CoV-2. Science of The Total Environment 2020;729: 138997. [DOI:10.1016/j.scitotenv.2020.138997] [PMID] []
19. Liu J, Zhou J, Yao J, et al. Impact of meteorological factors on the COVID-19 transmission: A multi-city study in China. Science of the total environment 2020;726: 138513. [DOI:10.1016/j.scitotenv.2020.138513] [PMID] []
20. Şahin M. Impact of weather on COVID-19 pandemic in Turkey. Science of the Total Environment 2020;728: 138810. [DOI:10.1016/j.scitotenv.2020.138810] [PMID] []
21. Srivastava A. COVID-19 and air pollution and meteorology-an intricate relationship: A review. Chemosphere 2021;263: 128297. [DOI:10.1016/j.chemosphere.2020.128297] [PMID] []
22. Ali Q, Raza A, Saghir S, Khan MTI. Impact of wind speed and air pollution on COVID-19 transmission in Pakistan. International Journal of Environmental Science and Technology 2021;18(5): 1287-98. [DOI:10.1007/s13762-021-03219-z] [PMID] []
23. Coccia M. The effects of atmospheric stability with low wind speed and of air pollution on the accelerated transmission dynamics of COVID-19. International Journal of Environmental Studies 2021;78(1): 1-27. [DOI:10.1080/00207233.2020.1802937]
24. Sanchez-Piedra C, Cruz-Cruz C, Gamiño-Arroyo A-E, Prado-Galbarro F-J. Effects of air pollution and climatology on COVID-19 mortality in Spain. Air Quality, Atmosphere & Health 2021;14(11): 1869-75. [DOI:10.1007/s11869-021-01062-2] [PMID] []
25. Ahmadi M, Sharifi A, Dorosti S, et al. Investigation of effective climatology parameters on COVID-19 outbreak in Iran. Science of the total environment 2020;729: 138705. [DOI:10.1016/j.scitotenv.2020.138705] [PMID] []
26. Páez-Osuna F, Valencia-Castañeda G, Rebolledo UA. The link between COVID-19 mortality and PM2.5 emissions in rural and medium-size municipalities considering population density, dust events, and wind speed. Chemosphere 2022;286: 131634. [DOI:10.1016/j.chemosphere.2021.131634] [PMID] []
27. Lowen AC, Mubareka S, Steel J, Palese P. Influenza virus transmission is dependent on relative humidity and temperature. PLoS pathogens 2007;3(10): e151. [DOI:10.1371/journal.ppat.0030151] [PMID] []
28. Araujo MB, Naimi B. Spread of SARS-CoV-2 Coronavirus likely constrained by climate. MedRxiv 2020. [DOI:10.1101/2020.03.12.20034728]
29. Harbert RS, Cunningham SW, Tessler M. Spatial modeling cannot currently differentiate SARS-CoV-2 coronavirus and human distributions on the basis of climate in the United States. MedRxiv 2020. [DOI:10.1101/2020.04.08.20057281]
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Moradalizadeh S, Hashemi M, Faraji M, Tohidinik H, Arbab P. Investigating the mortality rate caused by COVID-19 diseases in high-risk groups and its relationship with climatic conditions (case study Isfahan - Iran). jehe 2022; 10 (1) :39-50
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Volume 10, Issue 1 (12-2022) Back to browse issues page
مجله مهندسی بهداشت محیط Journal of Environmental Health Enginering
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