The effects of "Fangcang, Huoshenshan, and Leishenshan" hospitals and environmental factors on the mortality of COVID-19
The effects of "Fangcang, Huoshenshan, and Leishenshan" hospitals and environmental factors on the mortality of COVID-19
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DOI：
10.7717/peerj.9578
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发表时间：
2020-07-21
期刊：
影响因子：
2.7
通讯作者：
Xu, Gaosi
中科院分区：
文献类型：
--
作者：
Cai, Yuwen;Huang, Tianlun;Xu, Gaosi
背景资料。2019年12月，一种新型冠状病毒病(新冠肺炎)在武汉暴发，中国；然而，影响新冠肺炎死亡率的因素尚不清楚。中国国家卫生健康委员会和中国天气网共享的32天数据(新冠肺炎病例增长率/死亡率)由两位作者独立收集。用学生t检验或Mann-Whitney U检验检验“防仓、火神山、雷神山”临时医院(MSHS)使用前后确诊病例/危重病例死亡率的差异。采用皮尔逊和斯皮尔曼分析方法，研究新冠肺炎患者上述预后与气温(AT)、相对湿度(RH)或空气质量指数(AQI)之间的关系。使用MSHS后第8天，武汉(t=4.5P<；0.001)和湖北(U=0，P<；0.001)确诊病例死亡率均显著降低(t和U为检验差异的检验统计量)。相比之下，非湖北地区确诊病例死亡率保持不变(U=76，P=0.106)。而在使用MSHS后第12天和第16天，武汉和湖北的死亡率仍然显著下降，但在非湖北地区，死亡率的下降也变得明显(分别为U=123，P=0.036；U=171，P=0.015)。武汉(r=-0.441，P=0.012)和湖北(r=-0.440，P=0.012)确诊病例病死率与AT呈负相关。此外，武汉和湖北的新冠肺炎病例的增长率和死亡率都被发现与空气质量指数显著相关。然而，我们的研究中未发现RH与新冠肺炎患者的增长率/死亡率显著相关。我们的研究结果表明，无论是MSHS的使用、AT的升高，还是空气质量的改善，都有利于新冠肺炎患者的生存。
Background. In December 2019, a novel coronavirus disease (COVID-19) broke out in Wuhan, China; however, the factors affecting the mortality of COVID-19 remain unclear.Methods. Thirty-two days of data (the growth rate/mortality of COVID-19 cases) that were shared by Chinese National Health Commission and Chinese Weather Net were collected by two authors independently. Student's t-test or Mann-Whitney U test was used to test the difference in the mortality of confirmed/severe cases before and after the use of "Fangcang, Huoshenshan, and Leishenshan" makeshift hospitals (MSHs). We also studied whether the above outcomes of COVID-19 cases were related to air temperature (AT), relative humidity (RH), or air quality index (AQI) by performing Pearson's analysis or Spearman's analysis.Results. Eight days after the use of MSHs, the mortality of confirmed cases was signifi cantly decreased both in Wuhan (t = 4.5, P < 0.001) and Hubei (U = 0, P < 0.001), (t and U are the test statistic used to test the significance of the difference). In contrast, the mortality of confirmed cases remained unchanged in non-Hubei regions (U = 76, P = 0.106). While on day 12 and day 16 after the use of MSHs, the reduce in mortality was still significant both in Wuhan and Hubei; but in non-Hubei regions, the reduce also became significant this time (U = 123, P = 0.036; U = 171, P = 0.015, respectively). Mortality of confirmed cases was found to be negatively correlated with AT both in Wuhan (r = -0.441, P = 0.012) and Hubei (r = -0.440, P = 0.012). Also, both the growth rate and the mortality of COVID-19 cases were found to be significantly correlated with AQI in Wuhan and Hubei. However, no significant correlation between RH and the growth rate/mortality of COVID-19 cases was found in our study.Conclusions. Our findings indicated that both the use of MSHs, the rise of AT, and the improvement of air quality were beneficial to the survival of COVID-19 patients.