A Scenario-Based Evaluation of COVID-19-Related Essential Clinical Resource Demands in China.

Abstract

The coronavirus disease 2019 (COVID-19) pandemic is a global crisis, and medical systems in many countries are overwhelmed with supply shortages and increasing demands to treat patients due to the surge in cases and severe illnesses. This study aimed to assess COVID-19-related essential clinical resource demands in China, based on different scenarios involving COVID-19 spreads and interventions. We used a susceptible-exposed-infectious-hospitalized/isolated-removed (SEIHR) transmission dynamics model to estimate the number of COVID-19 infections and hospitalizations with corresponding essential healthcare resources needed. We found that, under strict non-pharmaceutical interventions (NPIs) or mass vaccination of the population, China would be able to contain community transmission and local outbreaks rapidly. However, under scenarios involving a low intensity of implemented NPIs and a small proportion of the population vaccinated, the use of a peacetime-wartime transition model would be needed for medical source stockpiles and preparations to ensure a normal functioning healthcare system. The implementation of COVID-19 vaccines and NPIs in different periods can influence the transmission of COVID-19 and subsequently affect the demand for clinical diagnosis and treatment. An increased proportion of asymptomatic infections in simulations will not reduce the demand for medical resources; however, attention must be paid to the increasing difficulty in containing COVID-19 transmission due to asymptomatic cases. This study provides evidence for emergency preparations and the adjustment of prevention and control strategies during the COVID-19 pandemic. It also provides guidance for essential healthcare investment and resource allocation.

• Authors: Ting Zhang, Qing Wang, Zhiwei Leng, Yuan Yang, Jin Yang, Fangyuan Chen, Mengmeng Jia, Xingxing Zhang, Weiran Qi, Yunshao Xu, Siya Chen, Peixi Dai, Libing Ma, Luzhao Feng, Weizhong Yang
• Journal: Engineering (Beijing, China) (Engineering (Beijing)) Vol. 7 Issue 7 Pg. 948-957 (Jul 2021) ISSN: 2095-8099 [Print] China
• PMID: 34035977 (Publication Type: Journal Article)
• Copyright: © 2021 Chinese Academy of Engineering.