Optimal control and comprehensive cost-effectiveness analysis for COVID-19
Joshua Kiddy Kwasi Asamoah, Eric Okyere, Afeez Abidemi, Stephen E., Moore, Gui-Quan Sun, Zhen Jin, Edward Acheampong, Joseph Frank Gordon

TL;DR
This study develops an optimal control model for COVID-19 in Saudi Arabia, analyzing cost-effectiveness of various interventions and identifying the most efficient strategies without vaccination.
Contribution
It formulates a novel non-autonomous nonlinear epidemic model with four control functions and performs comprehensive cost-effectiveness analysis using Pontryagin's maximum principle.
Findings
Physical distancing is the most cost-effective strategy.
Strategies 6, 11, 12, and 14 are equally effective in infection control.
Numerical simulations validate the optimal control strategies.
Abstract
Cost-effectiveness analysis is a mode of determining both the cost and economic health outcomes of one or more control interventions. In this work, we have formulated a non-autonomous nonlinear deterministic model to study the control of COVID-19 to unravel the cost and economic health outcomes for the autonomous nonlinear model proposed for the Kingdom of Saudi Arabia. The optimal control model captures four time-dependent control functions, thus, -practising physical or social distancing protocols; -practising personal hygiene by cleaning contaminated surfaces with alcohol-based detergents; -practising proper and safety measures by exposed, asymptomatic and symptomatic infected individuals; -fumigating schools in all levels of education, sports facilities, commercial areas and religious worship centres. We proved the existence of the proposed optimal control model.…
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Taxonomy
TopicsCOVID-19 epidemiological studies
