Article ; Online: Medical resources and coronavirus disease (COVID-19) mortality rate: Evidence and implications from Hubei province in China.
2021 Volume 16, Issue 1, Page(s) e0244867
Abstract: ... discontinuity design to investigate the association of medical resources with the mortality rate of the COVID-19 ... the relationship between the availability of public health resources and the mortality rate of this disease ... medical staff per confirmed cases all had significant negative effects on the coronavirus disease mortality rate ...
Abstract | In light of the ongoing coronavirus disease (COVID-19) pandemic, this study aims to examine the relationship between the availability of public health resources and the mortality rate of this disease. We conducted empirical analyses using linear regression, a time-varying effect model, and a regression discontinuity design to investigate the association of medical resources with the mortality rate of the COVID-19 patients in Hubei, China. The results showed that the numbers of hospital beds, healthcare system beds, and medical staff per confirmed cases all had significant negative effects on the coronavirus disease mortality rate. Furthermore, in the context of the severe pandemic currently being experienced worldwide, the present study summarized the experience and implications in pandemic prevention and control in Hubei province from the perspective of medical resource integration as follows: First, hospitals' internal medical resources were integrated, breaking interdepartmental barriers. Second, joint pandemic control was realized by integrating regional healthcare system resources. Finally, an external medical resource allocation system was developed. |
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MeSH term(s) | COVID-19/epidemiology ; COVID-19/mortality ; China/epidemiology ; Demography/statistics & numerical data ; Health Resources/statistics & numerical data ; Humans ; Mortality/trends |
Language | English |
Publishing date | 2021-01-15 |
Publishing country | United States |
Document type | Journal Article ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2267670-3 |
ISSN | 1932-6203 ; 1932-6203 |
ISSN (online) | 1932-6203 |
ISSN | 1932-6203 |
DOI | 10.1371/journal.pone.0244867 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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