He Maosheng, Fang Keyan, Zhou Feifei, Ou Tinghai, Chen Deliang
Kuehlungsborn Germany.
Key Laboratory of Humid Subtropical Eco-Geographical Process (Ministry of Education) Fujian Normal University Fuzhou China.
Meteorol Appl. 2022 Sep-Oct;29(5):e2099. doi: 10.1002/met.2099. Epub 2022 Sep 30.
Laboratory experiments have revealed the meteorological sensitivity of the coronavirus disease 2019 (COVID-19) virus. However, no consensus has been reached about how outdoor meteorological conditions modulate the virus transmission as it is also constrained by non-meteorological conditions. Here, we identify the outbreak's evolution stage, constrained least by non-meteorological conditions, by searching the maximum correlation coefficient between the ultraviolet flux and the growth rate of cumulative confirmed cases at the country level. At this least-constrained stage, the cumulative cases count around 1300-3200, and the count's daily growth rate correlates with the ultraviolet flux and temperature significantly (correlation coefficients = -0.54 ± 0.09 and -0.39 ± 0.10 at , respectively), but not with precipitation, humidity, and wind. The ultraviolet correlation exhibits a delay of about 7 days, providing a meteorological measure of the incubation period. Our work reveals a seasonality of COVID-19 and a high risk of a pandemic resurgence in winter, implying a need for seasonal adaption in public policies.
实验室实验已经揭示了2019冠状病毒病(COVID-19)病毒的气象敏感性。然而,对于室外气象条件如何调节病毒传播尚未达成共识,因为它也受到非气象条件的限制。在这里,我们通过搜索国家层面紫外线通量与累计确诊病例增长率之间的最大相关系数,来确定受非气象条件约束最小的疫情演变阶段。在这个约束最小的阶段,累计病例数约为1300 - 3200例,且病例数的每日增长率与紫外线通量和温度显著相关(分别在 时相关系数为 -0.54±0.09和 -0.39±0.10),但与降水量、湿度和风速无关。紫外线相关性表现出约7天的延迟,这为潜伏期提供了一种气象度量。我们的工作揭示了COVID-19的季节性以及冬季大流行卷土重来的高风险,这意味着公共政策需要进行季节性调整。