Description
Metadata
Settings
About:
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.
Permalink
an Entity references as follows:
Subject of Sentences In Document
Object of Sentences In Document
Explicit Coreferences
Implicit Coreferences
Graph IRI
Count
http://ns.inria.fr/covid19/graph/entityfishing
3
http://ns.inria.fr/covid19/graph/articles
3
Faceted Search & Find service v1.13.91
Alternative Linked Data Documents:
Sponger
|
ODE
Raw Data in:
CXML
|
CSV
| RDF (
N-Triples
N3/Turtle
JSON
XML
) | OData (
Atom
JSON
) | Microdata (
JSON
HTML
) |
JSON-LD
About
This work is licensed under a
Creative Commons Attribution-Share Alike 3.0 Unported License
.
OpenLink Virtuoso
version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Copyright © 2009-2024 OpenLink Software