Modelling the impact of health care providers in transmission dynamics of COVID-19

被引:2
作者
Maiga, Kulwa [1 ]
Hugo, Alfred [1 ]
机构
[1] Univ Dodoma, Dept Math & Stat, POB 259, Dodoma, Tanzania
关键词
COVID-19; Health care providers; Virus concentrations; Diagnostic testing; Hospitals' equipment;
D O I
10.1016/j.rinp.2022.105552
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In this paper, a mathematical model is proposed and analysed to assess the impacts of health care providers in transmission dynamics of COVID-19. The stability theory of differential equations is used to examine a mathematical model. The results of both local and global stability of disease-free equilibrium points were determined by using Routh-Hurwitz criteria and Metzler matrix method which verified that was locally and globally asymptotically stable. Also, the endemic equilibrium point was determined by the Lyapunov function which showed that E-* was globally asymptotically stable under strict conditions. The findings revealed that non-diagnosed and undetected health care providers seems to contribute to high spread of COVID-19 in a community. Also, it illustrates that an increase in the number of non-diagnostic testing rates of health care providers may result in high infection rates in the community and contaminations of hospitals' equipment. Therefore, the particular study recommend that there is a necessity of applying early diagnostic testing to curtail the COVID-19 transmission in the health care providers' community and reduce contaminations of hospital's equipment.
引用
收藏
页数:11
相关论文
共 25 条
[1]   Modeling the Dynamics of COVID-19 in Nigeria [J].
Adewole M.O. ;
Onifade A.A. ;
Abdullah F.A. ;
Kasali F. ;
Ismail A.I.M. .
International Journal of Applied and Computational Mathematics, 2021, 7 (3)
[2]   Modeling behavioral change and COVID-19 containment in Mexico: A trade-off between lockdown and compliance [J].
Adrian Acuna-Zegarra, Manuel ;
Santana-Cibrian, Mario ;
Velasco-Hernandez, Jorge X. .
MATHEMATICAL BIOSCIENCES, 2020, 325
[3]  
Alfred H, 2021, AFR J PURE APPL SCI, V2, P118, DOI [10.33886/ajpas.v2i2.215, DOI 10.33886/AJPAS.V2I2.215]
[4]   A mathematical model of COVID-19 transmission in a tertiary hospital and assessment of the effects of different intervention strategies [J].
Baek, Yae Jee ;
Lee, Taeyong ;
Cho, Yunsuk ;
Hyun, Jong Hoon ;
Kim, Moo Hyun ;
Sohn, Yujin ;
Kim, Jung Ho ;
Ahn, Jin Young ;
Jeong, Su Jin ;
Ku, Nam Su ;
Yeom, Joon-Sup ;
Lee, Jeehyun ;
Choi, Jun Yong .
PLOS ONE, 2020, 15 (10)
[5]   Computational simulation of the COVID-19 epidemic with the SEIR stochastic model [J].
Balsa, Carlos ;
Lopes, Isabel ;
Guarda, Teresa ;
Rufino, Jose .
COMPUTATIONAL AND MATHEMATICAL ORGANIZATION THEORY, 2023, 29 (04) :507-525
[6]   Healthcare worker infections and deaths due to COVID-19: A survey from 37 nations and a call for WHO to post national data on their website [J].
Erdem, Hakan ;
Lucey, Daniel R. .
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 2021, 102 :239-241
[7]  
Hugo A., 2012, Journal of Ecology and the Natural Environment, V4, P266
[8]   Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China [J].
Ivorra, B. ;
Ferrandez, M. R. ;
Vela-Perez, M. ;
Ramos, A. M. .
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION, 2020, 88
[9]   Computation of threshold conditions for epidemiological models and global stability of the disease-free equilibrium (DFE) [J].
Kamgang, Jean Claude ;
Sallet, Gauthier .
MATHEMATICAL BIOSCIENCES, 2008, 213 (01) :1-12
[10]   Mathematical Model of COVID-19 Transmission Dynamics in South Korea: The Impacts of Travel Restrictions, Social Distancing, and Early Detection [J].
Kim, Byul Nim ;
Kim, Eunjung ;
Lee, Sunmi ;
Oh, Chunyoung .
PROCESSES, 2020, 8 (10) :1-18