Meteorological factors correlate with transmission of 2019-nCoV: Proof of incidence of novel coronavirus pneumonia in Hubei Province, China

Jianfeng Li; Linyuan Zhang; Zhihua Ren; Caihong Xing; Peihuan Qiao; Bing Chang

Under the condition of confidence interval 95% (95% CI), incremental cases in Hubei province have significant correlation with four meteorological parameters: average air pressure, average temperature, minimum temperature and average water vapor pressure. among them, there is a positive correlation with the average air pressure (P = 0.010), and the correlation coefficient r = + 0.358, which belongs to low degree linear correlation. Negative correlation indexes include average temperature (P = 0.029), minimum temperature (P = 0.013), average water pressure (P = 0.020), correlation coefficient r =-0.306,-0.347, -0.326. From this, it can be judged that the increment of cases will be inhibited by the increase of temperature and water vapor loading. At the same time, the increase of average air pressure may increase the reproduction rate of the virus. In addition, the maximum temperature, RH and incremental cases are also negatively correlated, but the significance level is insufficient. Figure 3 shows the curve fitting of HB_DeltaN with average pressure, average temperature, minimum temperature and average water vapor pressure. . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.