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Covid-19 outbreak associated with demographic-meteorological factors in the arid and semi-arid region Iran: case study Gonabad city, 2020-2021.
Mohammadpour, Ali; Rezaei, Zahed; Parvari, Arash; Alami, Ali; Taghavi, Mahmoud; Hajighasemkhan, AliReza; Khosravan, Shahla; Kalankesh, Laleh R.
  • Mohammadpour A; Social Determinants of Health Research Center, Gonabad University of Medical sciences, Gonabad, Iran.
  • Rezaei Z; Social Determinants of Health Research Center, Gonabad University of Medical sciences, Gonabad, Iran.
  • Parvari A; Department of Epidemiology and Biostatistics school of public Health, Tehran University of Medical Science, Tehran, Iran.
  • Alami A; Social Determinants of Health Research Center, Gonabad University of Medical sciences, Gonabad, Iran.
  • Taghavi M; Social Determinants of Health Research Center, Gonabad University of Medical sciences, Gonabad, Iran.
  • Hajighasemkhan A; School of Public Health and Safety, Shahid Beheshti University of Medical Science, Tehran, Iran.
  • Khosravan S; Social Determinants of Health Research Center, Gonabad University of Medical sciences, Gonabad, Iran.
  • Kalankesh LR; Social Determinants of Health Research Center, Gonabad University of Medical sciences, Gonabad, Iran.
Int J Environ Health Res ; : 1-10, 2022 Sep 29.
Article in English | MEDLINE | ID: covidwho-2050894
ABSTRACT
Since the (Covid-19) pandemic outbreak, questioning regarding climate and incident of Covid-19 infection rates has been debated, while there is no clear research evidence until now in Iran. This study has focused on investigating the association between Covid-19 cases and demographic -meteorological factors in arid and semi-arid zones of Iran (from March 1, 2020, to January 31, 2022) by analyzing with Via Poisson and negative binomial regression. As a result, the incidence rate of both Covid-19 hospitalization and mortality cases reached peaks in the summer followed by the autumn. Interestingly, Covid-19 hospitalization cases are associated with humidity, temperature, and wind factors seasonally and monthly, but mortality cases are just associated with wind. In conclusion, the result demonstrated that demographicand meteorological factorsare positively and negatively associated with Covid-19 cases. Therefore, identifying the environmental factors contributing to the excess Covid-19 can help to prevent future pandemic waves in Iranian arid and semi-arid zone.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Observational study Language: English Journal: Int J Environ Health Res Journal subject: Environmental Health Year: 2022 Document Type: Article Affiliation country: 09603123.2022.2125161

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Case report / Observational study Language: English Journal: Int J Environ Health Res Journal subject: Environmental Health Year: 2022 Document Type: Article Affiliation country: 09603123.2022.2125161