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Dynamics of Tuberculosis (TB) with Drug Resistance to First-Line Treatment and Leaky Vaccination: A Deterministic Modelling Perspective.
Otoo, Dominic; Osman, Shaibu; Poku, Stephen Atta; Donkoh, Elvis Kobina.
Afiliação
  • Otoo D; Department of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
  • Osman S; Department of Basic Sciences, University of Health and Allied Sciences, Ho, Ghana.
  • Poku SA; Department of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
  • Donkoh EK; Department of Mathematics and Statistics, University of Energy and Natural Resources, Sunyani, Ghana.
Comput Math Methods Med ; 2021: 5593864, 2021.
Article em En | MEDLINE | ID: mdl-34367319
A deterministic model was formulated and employed in the analysis of the dynamics of tuberculosis with a keen emphasis on vaccination and drug resistance as the first line of treatment. It was assumed that some of the susceptible population were vaccinated but with temporal immunity. This is due to the fact that vaccines do not confer permanent immunity. Moreover, part of the infected individual after treatment grows resistance to the drug. Infective immigrants were also considered to be part of the population. The basic reproductive number for the model is estimated using the next-generation matrix method. The equilibrium points of the TB model and their local and global stability were determined. It was established that if the basic reproductive number was less than unity (R 0 < 1), then the disease free equilibrium is stable and unstable if R 0 > 1. Furthermore, we investigated the optimal prevention, treatment, and vaccination as control measures for the disease. As the objective functional was optimised, there have been a significant reduction in the number of infections and an increase in the number of recovery. The best control measure in combating tuberculosis infections is prevention and vaccination of the susceptible population.
Assuntos

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 3_ND / 4_TD Base de dados: MEDLINE Assunto principal: Tuberculose Pulmonar / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Comput Math Methods Med Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Contexto em Saúde: 1_ASSA2030 / 2_ODS3 / 3_ND / 4_TD Base de dados: MEDLINE Assunto principal: Tuberculose Pulmonar / Modelos Biológicos Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Comput Math Methods Med Ano de publicação: 2021 Tipo de documento: Article