Mathematical modeling of two strains tuberculosis and COVID-19 vaccination model: a co-infection study with cost-eectiveness analysis
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Date
2024-05
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Publisher
Frontier
Abstract
Tuberculosis and COVID-19 co-infection is currently the major issue of public
health in many nations, including Ghana. Therefore, to explore the eects of the
two Tuberculosis strains on COVID-19, we suggest a Tuberculosis and COVID-19
co-infection model. The study also provides the most economical and eective
control methods to reduce the co-infection of tuberculosis and COVID-19.
Based on the behavioral patterns of the two Tuberculosis strains and COVID-
19 reproduction numbers, the stability of the co-infection model is examined.
We explore the sensitivity of the parameters to examine the eect of the drug-
resistant and drug-sensitive strain of Tuberculosis on the co-infection of COVID-
19. We determine the most cost-eective and optimal treatment strategies that
aim to maximize outcomes while minimizing tuberculosis and/or COVID-19
incidences, cost-eectiveness, and optimization approaches. The outcomes of
this work contribute to a better understanding of Tuberculosis and COVID-19
epidemiology and provide insights into implementing interventions needed to
minimize Tuberculosis and COVID-19 burden in similar settings worldwide.
Description
This article is published by Frontiers 2024 and is also available at 10.3389/fams.2024.1373565
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Citation
Appiah RF, Jin Z, Yang J, Asamoah JKK and Wen Y (2024) Mathematical modeling of two strains tuberculosis and COVID-19 vaccination model: a co-infection study with cost-eectiveness analysis. Front. Appl. Math. Stat. 10:1373565