Mathematical modeling of two strains tuberculosis and COVID-19 vaccination model: a co-infection study with cost-e􀀀ectiveness analysis

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dc.contributor.authorAppiah, Raymond Fosu
dc.contributor.authorJin, Zhen
dc.contributor.authorYang, Junyuan
dc.contributor.authorAsamoah, Joshua Kiddy K.
dc.contributor.authorWen, Yuqi
dc.contributor.orcid0000-0002-7066-246X
dc.date.accessioned2024-11-21T08:18:35Z
dc.date.available2024-11-21T08:18:35Z
dc.date.issued2024-05
dc.descriptionThis article is published by Frontiers 2024 and is also available at 10.3389/fams.2024.1373565
dc.description.abstractTuberculosis and COVID-19 co-infection is currently the major issue of public health in many nations, including Ghana. Therefore, to explore the e􀀀ects 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 e􀀀ective 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 e􀀀ect of the drug- resistant and drug-sensitive strain of Tuberculosis on the co-infection of COVID- 19. We determine the most cost-e􀀀ective and optimal treatment strategies that aim to maximize outcomes while minimizing tuberculosis and/or COVID-19 incidences, cost-e􀀀ectiveness, 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.
dc.description.sponsorshipKNUST
dc.identifier.citationAppiah 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-e􀀀ectiveness analysis. Front. Appl. Math. Stat. 10:1373565
dc.identifier.uri10.3389/fams.2024.1373565
dc.identifier.urihttps://ir.knust.edu.gh/handle/123456789/15986
dc.language.isoen
dc.publisherFrontier
dc.titleMathematical modeling of two strains tuberculosis and COVID-19 vaccination model: a co-infection study with cost-e􀀀ectiveness analysis
dc.typeArticle
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