Investigating the seasonality of coronavirus disease 2019 (COVID-19) in Iran

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:

Coronavirus disease 2019 (COVID-19) is an acute respiratory infectious disease caused by a new coronavirus SARS-CoV-2. The World Health Organization declared this infectious disease as a global pandemic on 11 March 2020. Since it is necessary to understand the role of seasonality in the spread of the COVID-19 epidemic in the formulation of public health interventions, in this study, the effect of seasonal changes on the cases of infection and deaths of COVID-19 in Iran has been investigated. The data collected from Iran’s Ministry of Health and Medical Education, including the cases of infection and deaths of COVID-19 from 20 March 2020 to 20 March 2022. In data analysis, One-way analysis of variance (ANOVA) was used. The results of One-way ANOVA showed that there is no significant statistical difference between the averages of the cases of COVID-19 in different months and seasons of the year. Also, there is no statistically significant difference between the averages of COVID-19 deaths in different months and seasons of the year. Results of data analysis data showed that the effect of seasonal changes on the spread of COVID-19 in Iran is not significant. As a result, because COVID-19 is not seasonal in Iran, an increase in temperature and humidity with the arrival of spring and summer months will not necessarily result in a reduction in the spread of the COVID-19 epidemic if extensive public health interventions are not implemented. Therefore, behavioral strategies such as wearing a face mask, washing hands, maintaining a social distance and vaccination are suggested.

Language:
Persian
Published:
Distributed computing and Distributed systems, Volume:5 Issue: 1, 2022
Pages:
74 to 81
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