TY - JOUR
T1 - Modeling the impacts of awareness and limited medical resources on the epidemic size of a multi-group SIR epidemic model
AU - Bajiya, Vijay Pal
AU - Tripathi, Jai Prakash
AU - Kakkar, Vipul
AU - Kang, Yun
N1 - Funding Information: Vijay Pal Bajiya receives funding as senior research fellowship from Council of Scientific and Industrial Research (CSIR), India (File No. 09/1131(0006)/2017-EMR-I). This research work of Jai Prakash Tripathi is supported by Science and Engineering Research Board (SERB), India (File No. ECR/2017/002786) and UGC-BSR Research Start-Up-Grant, India (No. F.30-356/2017(BSR)). Research of YK is partially supported by NSF-DMS (Award No. 1716802 and 2052820); NSF- IOS/DMS (Award No. 1558127) and The James S. McDonnell Foundation 21st Century Science Initiative in Studying Complex Systems Scholar Award (UHC Scholar Award 220020472) Publisher Copyright: © 2022 World Scientific Publishing Company.
PY - 2022/10/1
Y1 - 2022/10/1
N2 - The pharmaceutical interventions of emerging infectious diseases are constrained by the available medical resources such as drugs, vaccines, hospital beds, isolation places and the efficiency of the treatment. The awareness of the population also plays an important role in reducing contacts and consequently, reducing the disease transmission rate. In this paper, we propose a multi-group Susceptible, Infected and Recovered (SIR) epidemic model incorporating the awareness of population and the saturated treatment function that describes the effects of the availability of medical resources for treatment. We assume that the treatment of the infected individuals of a group is affected by the medical resources for the treatment of each group. We calculate the basic reproduction number R0 in the term of the awareness parameter using the next generation approach. We determine the local and global stabilities of equilibrium (disease free equilibrium and endemic equilibrium) in terms of R0 and the availability of medical resources for treatment. We obtain that backward bifurcation occurs at R0 = 1 along with the existence of multiple endemic equilibria when R0 < 1. Further, we consider the special case with a single group epidemic system and ensure the existence of multiple endemic equilibria. We showed a necessary condition on the parameter related to the availability of medical resources when backward bifurcation occurs. This situation indicates that reducing the basic reproduction number below unity is not sufficient to remove the disease when the medical resources for treatment are scarce. We used numerical simulations to support and counterpart our theoretical results and discussed the impacts of the awareness of susceptible population and availability of medical resources for treatment in each group, on the epidemic size of each group. Our findings suggest that in the case of limited medical resources, the high treatment rate and awareness of the population are very helpful to control the disease (to reduce the prevalence of infection) and the eradication of disease also depends on initial population sizes. More importantly, it is also obtained that sufficient medical resources for every group are required to eradicate the disease from an entire population.
AB - The pharmaceutical interventions of emerging infectious diseases are constrained by the available medical resources such as drugs, vaccines, hospital beds, isolation places and the efficiency of the treatment. The awareness of the population also plays an important role in reducing contacts and consequently, reducing the disease transmission rate. In this paper, we propose a multi-group Susceptible, Infected and Recovered (SIR) epidemic model incorporating the awareness of population and the saturated treatment function that describes the effects of the availability of medical resources for treatment. We assume that the treatment of the infected individuals of a group is affected by the medical resources for the treatment of each group. We calculate the basic reproduction number R0 in the term of the awareness parameter using the next generation approach. We determine the local and global stabilities of equilibrium (disease free equilibrium and endemic equilibrium) in terms of R0 and the availability of medical resources for treatment. We obtain that backward bifurcation occurs at R0 = 1 along with the existence of multiple endemic equilibria when R0 < 1. Further, we consider the special case with a single group epidemic system and ensure the existence of multiple endemic equilibria. We showed a necessary condition on the parameter related to the availability of medical resources when backward bifurcation occurs. This situation indicates that reducing the basic reproduction number below unity is not sufficient to remove the disease when the medical resources for treatment are scarce. We used numerical simulations to support and counterpart our theoretical results and discussed the impacts of the awareness of susceptible population and availability of medical resources for treatment in each group, on the epidemic size of each group. Our findings suggest that in the case of limited medical resources, the high treatment rate and awareness of the population are very helpful to control the disease (to reduce the prevalence of infection) and the eradication of disease also depends on initial population sizes. More importantly, it is also obtained that sufficient medical resources for every group are required to eradicate the disease from an entire population.
KW - Multi-group epidemic model
KW - backward bifurcation
KW - basic reproduction number
KW - global stability
KW - graph-theoretic results
KW - limited medical supply
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U2 - 10.1142/S1793524522500450
DO - 10.1142/S1793524522500450
M3 - Article
SN - 1793-5245
VL - 15
JO - International Journal of Biomathematics
JF - International Journal of Biomathematics
IS - 7
M1 - 2250045
ER -