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

Secondly, we have examined the correlation studies between 10 meteorological indicators and case increment respectively, average atmospheric pressure, Average temperature, average minimum temperature, average water pressure and case increment have significant correlation. We believe that atmospheric pressure, temperature and water vapor pressure are crucial to shaping conditions conducive to the diffusion of 2019-nCoV aerosol, but in the epidemiological model, whether they should be treated as individual factors or as an associated entity remains to be further studied. Unary linear regression analysis was carried out on average atmospheric pressure, average temperature, average minimum temperature, average water pressure and case increment respectively, and a statistically significant regression equation was obtained. However, there is no statistically significant binary linear regression equation describing two factors. We need further research, such as the correlation between the onset of viral respiratory tract infection under the combined action of minimum temperature and water vapor pressure.