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[Scenario-based study of medical resource requirement rapid assessment under the COVID-19 pandemic].
Zhang, T; Wu, H T; Wang, L H; Yang, W Z.
  • Zhang T; School of Public Health and Management, Weifang Medical University, Weifang 261053, China.
  • Wu HT; School of Public Policy and Management, Tsinghua University, Beijing 100084, China; Center for Crisis Management Research, Tsinghua University, Beijing 10084, China.
  • Wang LH; Beijing Ditan Hospital Capital Medical University, Beijing 100015.
  • Yang WZ; Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730.
Zhonghua Liu Xing Bing Xue Za Zhi ; 41(0): E059, 2020 May 09.
Article in Chinese | MEDLINE | ID: covidwho-222728
ABSTRACT

Objective:

COVID-19 outbreak is still under global pandemic. China is facing the risks of importation and local rebound of COVID-19. Under the circumstances, preparations for medical resources are in urgently needed.

Methods:

Based on current understanding of the disease, we set up five scenarios and use the infectious disease transmission dynamic and pandemic theoretical static models to evaluate the demand for medical resources.

Results:

Different epidemic strength and strategies of disease control and prevention resulted in different levels of medical resource request, and active control strategy and effective measures could significantly decrease the requirement. During the epidemic rising phase, the cost of prevention and control measures and the requirement of professional response capacities would increase with potential high risk of medical resource demand sharply increasing.

Conclusion:

Regions with different economic level, population scale, and different prevention and control capabilities should all initiate scientific assessment of medical resource requirement under emergency response and prepare for possible future rebound and epidemic.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2020 Document Type: Article Affiliation country: Cma.j.cn112338-20200401-00488

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Prognostic study Language: Chinese Journal: Zhonghua Liu Xing Bing Xue Za Zhi Year: 2020 Document Type: Article Affiliation country: Cma.j.cn112338-20200401-00488