The statistical correlation between meteorological parameters and the spread of Coronavirus Disease-2019 (COVID-19) was investigated in five provinces of Italy selected according to the number of infected individuals and the different trends of infection in the early stages of the epidemic: Bergamo and Brescia showed some of the highest trends of infections while nearby Cremona and Mantova, showed lower trends. Pesaro–Urbino province was included for further investigation as it was comparably affected by the epidemic despite being the area far from the Po valley. Moving means of the variables were considered to take into account the variability of incubation periods and uncertainties in the epidemiological data. The same analyzes were performed normalizing the number of new daily cases based on the number of checks performed. For each province, the moving mean of adjusted and unadjusted new daily cases were independently plotted versus each meteorological parameter, and linear regressions were determined in the period from 29th of February 2020 to 29th of March 2020. Strong positive correlations were observed between new cases and temperatures within three provinces representing 86.5% of the contagions. Strong negative correlations were observed between the moving means of new cases and relative humidity values for four provinces and more than 90% of the contagions.

中文翻译：

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SARS-CoV-2传播与当地气象之间的统计相关性的初步调查。

在意大利的五个省份中，根据流行病初期的感染人数和感染趋势的不同，调查了气象参数与冠状病毒病-2019（COVID-19）传播之间的统计相关性。布雷西亚的感染率最高，而克雷莫纳和曼托瓦附近的感染率则较低。佩萨罗-乌尔比诺省被纳入进一步调查，因为尽管距波河谷较远，但受该流行病的影响相对较大。考虑变量的移动方式时要考虑潜伏期的变化和流行病学数据的不确定性。进行了相同的分析，根据执行的检查次数对新的每日病例数进行了归一化。对于每个省，分别针对每个气象参数绘制了调整后和未调整后新个案的移动平均值，并确定了2020年2月29日至2020年3月29日之间的线性回归。在三个省份中，新个案与气温之间存在强烈的正相关关系。占传染病的86.5％。在四个省和90％以上的传染病中，新病例的移动方式与相对湿度之间存在强烈的负相关关系。在三个省的新发病例与气温之间观察到强正相关，占传染病的86.5％。在四个省和超过90％的传染病中，新病例的移动方式与相对湿度之间存在强烈的负相关关系。在三个省的新发病例与气温之间观察到强正相关，占传染病的86.5％。在四个省和90％以上的传染病中，新病例的移动方式与相对湿度之间存在强烈的负相关关系。