Geo-Environment Laboratory, Department of Geology, Faculty of Earth Sciences and Country Planning, University of Sciences and Technology Houari Boumediene, Algiers, Algeria.
DiSTABiF - Department of Environmental, Biological and Pharmaceutical Sciences and Technologies, Campania 7 University "Luigi Vanvitelli", Via Vivaldi 43, 81100, Caserta, Italy.
Environ Sci Pollut Res Int. 2022 Mar;29(12):18077-18102. doi: 10.1007/s11356-021-16903-x. Epub 2021 Oct 22.
After more than a year from the first confirmed cases of coronavirus (COVID-19) disease, the role of meteorological factors in the transmission of the virus still needs to be correctly determined. In this scenario of deep uncertainty, the present study aims to investigate the effects of temperature and relative humidity on daily new cases of COVID-19. For this purpose, the COVID-19's development of infection in fourteen Algerian cities characterized by different climatic conditions, during the period from April 1, 2020, to August 31, 2020, has been investigated. A detailed time series analysis along with linear regression was used to state a possible correlation among some climate's factor variability (temperature and relative humidity) and daily new confirmed cases of COVID-19. The results showed a weak correlation between daily new cases of COVID-19 and meteorological factors throughout the selected regions. In addition, we concluded that the COVID-19 could fit to high or low values of temperature and relative humidity, and other factors not climates could affect the spreading of the virus like demography and human contact. So, after the discovery of the vaccine and before vaccination of 70% of the world's population, living with the virus has become an inevitable reality, and it is mandatory to apply the sanitary procedures to slow down the COVID-19 transmission.
在首例冠状病毒(COVID-19)疾病确诊一年多后,气象因素在病毒传播中的作用仍需正确确定。在这种高度不确定的情况下,本研究旨在调查温度和相对湿度对 COVID-19 每日新增病例的影响。为此,对 2020 年 4 月 1 日至 2020 年 8 月 31 日期间,14 个具有不同气候条件的阿尔及利亚城市的 COVID-19 感染发展情况进行了研究。采用详细的时间序列分析和线性回归,研究了一些气候因素(温度和相对湿度)变化与 COVID-19 每日新增确诊病例之间可能存在的相关性。结果表明,在所选地区,COVID-19 每日新增病例与气象因素之间存在微弱相关性。此外,我们得出结论,COVID-19 可能适应温度和相对湿度的高低值,以及其他非气候因素(如人口和人类接触)可能会影响病毒的传播。因此,在发现疫苗并在全球 70%的人口接种疫苗之前,与病毒共存已成为不可避免的现实,必须采取卫生程序来减缓 COVID-19 的传播。