Author:
Cai Yuwen,Huang Tianlun,Liu Xin,Xu Gaosi
Abstract
AbstractBackgroundIn December 2019, a novel coronavirus disease (COVID-19) broke out in Wuhan, China, however, the factors affecting the mortality remain unclear.MethodsThirty-two days of data that were shared by China National Health Commission and China Weather Net were collected using standard forms. The difference in the mortality of confirmed and severe cases before and after the use of “Fangcang, Huoshenshan, and Leishenshan” makeshift hospitals (MSHs) was tested using Mann-Whitney U test. We also studied whether air temperature (AT) could affect the above outcomes of COVID-19 cases by performing Spearman’s analysis.ResultsEight days after the use of MSHs, the mortality of confirmed cases was significantly decreased both in Wuhan (U = 1, P < 0.001) and Hubei (U = 0, P < 0.001), while in non-Hubei regions, as a contrast, the mortality of confirmed cases remained unchanged (U = 40, P = 0.139). However, another eight days later, changes in the mortality in non-Hubei regions also became significant (U = 73, P = 0.039). Mortality of confirmed cases was found to be significantly correlated with AT both in Wuhan (r = −0.441, P = 0.012) and Hubei (r = −0.440, P = 0.012).ConclusionsOur findings indicated that both the use of MSHs and the rise of AT were beneficial to the survival of COVID-19 cases.
Publisher
Cold Spring Harbor Laboratory
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