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Geographical and Meteorological Evaluations of COVID-19 Spread in Iran
Sustainability ; 14(9):5429, 2022.
Article in English | MDPI | ID: covidwho-1820381
ABSTRACT
Since late 2019 many people all over the world have become infected and have died due to coronavirus. There have been many general studies about the spread of the virus. In this study, new and accumulated confirmed cases (NCC and ACC), new and accumulated recovered cases (NRC and ARC), and new and accumulated deaths (ND and AD) were evaluated by geographical properties, meteorological parameters and air particulate matters between 3 April 2020 and 11 June 2020 within 15 provinces in Iran. Meteorological parameters, air particulate matters and COVID-19 data were collected from Iran Meteorological Organization, the Environmental Protection Agency and Aftabnews website, respectively. The results of the study show that provinces in dry lands (i.e., Kerman and South Khorasan) not only had low admission of NCC, ACC, ARC and AD but also presented lower rates of NCC, ACC and AD per 105 population. Air temperature showed positive and significant correlation with the number of COVID-19 cases. This is because of hot outdoor air especially in costal and equatorial regions that forces people to stay in closed environments with no ventilation and with closed-cycle air conditioners. Maximum air pressure was found to be the most frequent (66%) and significant parameter correlating with health outcomes associated with COVID-19. The most engaged province in this study was Khuzestan, while provinces in dry lands (i.e., Kerman and South Khorasan) showed low number of health endpoints associated with COVID-19. The highest rate of accumulated and new recovered cases per 105 population were also found in Khuzestan and Kerman provinces. North Khorasan also showed the worst rate of N&ARC/105 population. Therefore, air temperature, dry lands and population were the most important factors for the control of coronavirus spread.

Full text: Available Collection: Databases of international organizations Database: MDPI Type of study: Experimental Studies Language: English Journal: Sustainability Year: 2022 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: MDPI Type of study: Experimental Studies Language: English Journal: Sustainability Year: 2022 Document Type: Article