Modeling and Simulation of Emergency Medical Resources Allocation in Shanghai during COVID-19

Authors

Changjia Fan, 1. School of Public Health, Fudan University, Shanghai 200032, China;;2. Key Laboratory of Health Technology Assessment, National of Health Commission, Shanghai 200032, China;
Yanqiu Du, 1. School of Public Health, Fudan University, Shanghai 200032, China;;2. Key Laboratory of Health Technology Assessment, National of Health Commission, Shanghai 200032, China;
Liang Di, 1. School of Public Health, Fudan University, Shanghai 200032, China;;2. Key Laboratory of Health Technology Assessment, National of Health Commission, Shanghai 200032, China;
Hu Kai, 1. School of Public Health, Fudan University, Shanghai 200032, China;;2. Key Laboratory of Health Technology Assessment, National of Health Commission, Shanghai 200032, China;
Jiayan Huang, 1. School of Public Health, Fudan University, Shanghai 200032, China;;2. Key Laboratory of Health Technology Assessment, National of Health Commission, Shanghai 200032, China;

Abstract

Abstract: Modeling and simulating on the allocation of emergency medical resources in Shanghai with COVID-19 is carried out. Based on the SEIR model of infectious diseases, combined with the process of outpatients visiting and inpatients treatment, a SEIOWHR(susceptible-exposed-infected-outpatients- waiting to hospitalized-hospitalized-removed) system dynamics model is established. If the Wuhan epidemic occurred in Shanghai, based on the model, the amount of emergency medical resources needed, the gap time of medical resources and the disease progression of patients who are waiting to hospitalized under the different supply of medical resources is simulated, and the key factors in the allocation of medical resources at a major epidemic are found. It is recommended that the early planning and dynamic adjustment of emergency medical resources should be strengthened based on the epidemic trend and disease progression of patients, and the accurate diagnosis rate is needed to be improved to respond the infectious diseases effectively.

Recommended Citation

Fan, Changjia; Du, Yanqiu; Di, Liang; Kai, Hu; and Huang, Jiayan (2022) "Modeling and Simulation of Emergency Medical Resources Allocation in Shanghai during COVID-19," Journal of System Simulation: Vol. 34: Iss. 1, Article 11.
DOI: 10.16182/j.issn1004731x.joss.21-0320
Available at: https://dc-china-simulation.researchcommons.org/journal/vol34/iss1/11

First Page

93

Revised Date

2021-06-11

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.21-0320

Last Page

103

CLC

TP391.9

Recommended Citation

Fan Changjia, Du Yanqiu, Liang Di, Hu Kai, Huang Jiayan. Modeling and Simulation of Emergency Medical Resources Allocation in Shanghai during COVID-19[J]. Journal of System Simulation, 2022, 34(1): 93-103.

Corresponding Author

Jiayan Huang,

DOI

10.16182/j.issn1004731x.joss.21-0320