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The effects of "Fangcang, Huoshenshan, and Leishenshan" hospitals and environmental factors on the mortality of COVID-19.
Cai, Yuwen; Huang, Tianlun; Liu, Xin; Xu, Gaosi.
  • Cai Y; Department of Nephrology, the Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.
  • Huang T; Second Clinical Medical College of Nanchang University, Nanchang, China.
  • Liu X; Department of Nephrology, the Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.
  • Xu G; Department of Nephrology, the Second Affiliated Hospital of Nanchang University, Nanchang University, Nanchang, China.
PeerJ ; 8: e9578, 2020.
Article in English | MEDLINE | ID: covidwho-693307
ABSTRACT

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 significantly 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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Variants Language: English Journal: PeerJ Year: 2020 Document Type: Article Affiliation country: Peerj.9578

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Topics: Variants Language: English Journal: PeerJ Year: 2020 Document Type: Article Affiliation country: Peerj.9578