School of Pharmacy and Health Products, Telemedicine and Telepharmacy Center, University of Camerino, Camerino, MC, Italy.
Eur Rev Med Pharmacol Sci. 2021 Nov;25(22):7135-7143. doi: 10.26355/eurrev_202111_27267.
Understanding the evolutionary dynamics of the Coronavirus disease 2019 (COVID-19) pandemic in the coming months is a matter of great importance and urgency for governments worldwide, making fundamental decisions based on what is known about the transmission mechanisms of the virus and its survival in the environment. The present study aimed to evaluate the impact of demographic variables, solar radiation and relative humidity on the spread of the COVID-19 pandemic of the various regions in Italy.
The retrospective longitudinal study was conducted, and data used in this study was obtained from the Italian Health Ministry. Descriptive statistics included mean, frequency, and percentage, and results presented by graphs were calculated.
The infection trend was investigated by comparing it with the demographic situation and the irradiation indices of solar ultraviolet light that are detected with the changing seasons. The present study reported that the geographic areas with higher population density and lower solar radiation during the autumn and winter months were most affected by SARS-CoV-2.
The analysis carried out can provide a predictive model for the future phases of the COVID-19 pandemic in Italy, regardless of the adoption of lockdown measures and behavioral factors.
了解未来几个月 2019 年冠状病毒病(COVID-19)大流行的演变动态,对全球各国政府而言至关重要且十分紧迫,这需要根据已知的病毒传播机制及其在环境中的存活情况来做出基本决策。本研究旨在评估人口变量、太阳辐射和相对湿度对意大利各地区 COVID-19 大流行传播的影响。
本研究采用回顾性纵向研究,所使用的数据来自意大利卫生部。描述性统计包括平均值、频率和百分比,并通过图表计算结果。
通过将感染趋势与人口状况以及随着季节变化检测到的太阳紫外线辐射的照射指数进行比较来进行研究。本研究报告称,在秋冬两季人口密度较高且太阳辐射较低的地理区域受 SARS-CoV-2 的影响最大。
无论是否采取封锁措施和行为因素,所进行的分析都可为意大利 COVID-19 大流行的未来阶段提供预测模型。