论文标题
澳大利亚，韩国和意大利的城市流行病地区大气环境与共同地区的短期季节性分析
The short-term seasonal analyses between atmospheric environment and COVID-19 in epidemic areas of Cities in Australia, South Korea, and Italy
论文作者
论文摘要
Covid-19-19对健康的爆发的影响一直广泛关注。疾病风险评估，预测和预警已成为一个重要的研究领域。先前的研究表明，空气质量与疾病之间存在关系。本文通过使用大气环境数据，确认的病例数据以及基于准畅通的回归，研究了大气环境对澳大利亚，韩国和意大利基本繁殖数（r $ _0 $）的影响。结果表明，空气温度和湿度在短期r $ _0 $上存在滞后和持久性，季节性因素对R $ _0 $具有明显的装饰作用。 PM $ _ {10} $是影响多余发病率的主要污染物。此外，o $ _3 $，pm $ _ {2.5} $，因此$ _2 $作为扰动因子具有明显的累积效果。这些结果介绍了环境与COVID-19之间的相关性的有益知识，这指导了对疾病数据的前瞻性分析。
The impact of the outbreak of COVID-19 on health has been widely concerned. Disease risk assessment, prediction, and early warning have become a significant research field. Previous research suggests that there is a relationship between air quality and the disease. This paper investigated the impact of the atmospheric environment on the basic reproduction number (R$_0$) in Australia, South Korea, and Italy by using atmospheric environment data, confirmed case data, and the distributed lag non-linear model (DLNM) model based on Quasi-Poisson regression. The results show that the air temperature and humidity have lag and persistence on short-term R$_0$, and seasonal factors have an apparent decorating effect on R$_0$. PM$_{10}$ is the primary pollutant that affects the excess morbidity rate. Moreover, O$_3$, PM$_{2.5}$, and SO$_2$ as perturbation factors have an apparent cumulative effect. These results present beneficial knowledge for correlation between environment and COVID-19, which guiding prospective analyses of disease data.
