TY - GEN
T1 - Covid-19 SIHR modeling and dynamic analysis
AU - Pan, Zhenhe
AU - Wang, Taige
AU - Zhang, Yuanlin
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7
Y1 - 2021/7
N2 - We propose a novel disease transmission model: the Susceptible-Infected-Hospitalized-Recovered (SIHR) model, which is a modification of the classical SIR model commonly used in modeling the spread of infectious diseases for understanding epidemic duration, number of infected people throughout the duration, and peak number of infected people etc. More specifically, we introduce a new hospitalization state, denoted by H, between the I and R state in the SIR model, and such new state is constrained by the number of hospital beds denoted by M. We perform study on the dynamics of the novel SIHR model. Our numerical results based on the COVID-19 dataset from Wuhan, China show that the SIHR model illustrates much better fitting with the dataset than the classic SIR model. The computational results demonstrate how and when one should increase the hospital beds number M based on detailed numerical analysis.
AB - We propose a novel disease transmission model: the Susceptible-Infected-Hospitalized-Recovered (SIHR) model, which is a modification of the classical SIR model commonly used in modeling the spread of infectious diseases for understanding epidemic duration, number of infected people throughout the duration, and peak number of infected people etc. More specifically, we introduce a new hospitalization state, denoted by H, between the I and R state in the SIR model, and such new state is constrained by the number of hospital beds denoted by M. We perform study on the dynamics of the novel SIHR model. Our numerical results based on the COVID-19 dataset from Wuhan, China show that the SIHR model illustrates much better fitting with the dataset than the classic SIR model. The computational results demonstrate how and when one should increase the hospital beds number M based on detailed numerical analysis.
UR - http://www.scopus.com/inward/record.url?scp=85115843863&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC51774.2021.00255
DO - 10.1109/COMPSAC51774.2021.00255
M3 - Conference contribution
AN - SCOPUS:85115843863
T3 - Proceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021
SP - 1711
EP - 1716
BT - Proceedings - 2021 IEEE 45th Annual Computers, Software, and Applications Conference, COMPSAC 2021
A2 - Chan, W. K.
A2 - Claycomb, Bill
A2 - Takakura, Hiroki
A2 - Yang, Ji-Jiang
A2 - Teranishi, Yuuichi
A2 - Towey, Dave
A2 - Segura, Sergio
A2 - Shahriar, Hossain
A2 - Reisman, Sorel
A2 - Ahamed, Sheikh Iqbal
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 45th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2021
Y2 - 12 July 2021 through 16 July 2021
ER -