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Medical resources and coronavirus disease (COVID-19) mortality rate: Evidence and implications from Hubei province in China.
Xie, Lin; Yang, Hualei; Zheng, Xiaodong; Wu, Yuanyang; Lin, Xueyu; Shen, Zheng.
  • Xie L; Institution of Population and Labor Economics, The Chinese Academy of Social Science, Beijing, China.
  • Yang H; School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
  • Zheng X; School of Economics, Zhejiang Gongshang University, Hangzhou, China.
  • Wu Y; School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
  • Lin X; School of Public Administration, Zhongnan University of Economics and Law, Wuhan, China.
  • Shen Z; School of Economics and Management, Zhejiang A&F University, Hangzhou, China.
PLoS One ; 16(1): e0244867, 2021.
Article in English | MEDLINE | ID: covidwho-1067404
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0244867

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0244867