Application of optimal control to the dynamics of COVID-19 disease in South Africa

被引:8
|
作者
Gatyeni, S. P. [1 ]
Chukwu, C. W. [1 ]
Chirove, F. [1 ]
Fatmawati [2 ]
Nyabadza, F. [1 ]
机构
[1] Univ Johannesburg, Math & Appl Math Dept, Auckland Pk Kingsway Campus,POB 524, ZA-2006 Johannesburg, South Africa
[2] Univ Airlangga, Fac Sci & Technol, Dept Math, Surabaya 60115, Indonesia
关键词
COVID-19; South Africa; Optimal control measures; Constant control; Model fitting; Numerical simulations; SYSTEMS;
D O I
10.1016/j.sciaf.2022.e01268
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
SARS-CoV-2 (COVID-19) belongs to the beta-coronavirus family, which include: the severe acute respiratory syndrome coronavirus (SARS-CoV) and the Middle East respiratory syn-drome coronavirus (MERS-CoV). Since its outbreak in South Africa in March 2020, it has lead to high mortality and thousands of people contracting the virus. Mathematical analysis of a model without controls was done and the basic reproduction number (R-0) of the COVID-19 for the South African pandemic determined. Permissible controls were introduced and an optimal control problem using the Pontraygain Maximum Principle is formulated. Numerical findings suggest that joint implementation of effective mask usage, physical distancing and active screening and testing, are effective measures to curtail the spread of the disease in the human population. The results obtained in this paper are of public health importance in the control and management of the spread for the novel coronavirus, SARS-CoV-2, in South Africa. (C) 2022 Published by Elsevier B.V. on behalf of African Institute of Mathematical Sciences / Next Einstein Initiative.
引用
收藏
页数:15
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