Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance

Every year, influenza causes high morbidity and mortality especially among the immunocompromised persons worldwide. The emergence of drug resistance has been a major challenge in curbing the spread of influenza. In this paper, a mathematical model is formulated and used to analyze the transmission d...

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Main Authors: Caroline W. Kanyiri, Kimathi Mark, Livingstone Luboobi
Format: Article
Language:English
Published: Hindawi Limited 2018-01-01
Series:Computational and Mathematical Methods in Medicine
Online Access:http://dx.doi.org/10.1155/2018/2434560
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spelling doaj-7616cdf053fb4d3bbb941a8b297937ab2020-11-24T22:13:28ZengHindawi LimitedComputational and Mathematical Methods in Medicine1748-670X1748-67182018-01-01201810.1155/2018/24345602434560Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug ResistanceCaroline W. Kanyiri0Kimathi Mark1Livingstone Luboobi2Department of Mathematics, Pan African University Institute of Basic Sciences, Technology and Innovation, P.O. Box 62000-00200, Nairobi, KenyaDepartment of Mathematics, Machakos University, P.O. Box 139-90100, Machakos, KenyaInstitute of Mathematical Sciences, Strathmore University, P.O. Box 59857-00200, Nairobi, KenyaEvery year, influenza causes high morbidity and mortality especially among the immunocompromised persons worldwide. The emergence of drug resistance has been a major challenge in curbing the spread of influenza. In this paper, a mathematical model is formulated and used to analyze the transmission dynamics of influenza A virus having incorporated the aspect of drug resistance. The qualitative analysis of the model is given in terms of the control reproduction number, Rc. The model equilibria are computed and stability analysis carried out. The model is found to exhibit backward bifurcation prompting the need to lower Rc to a critical value Rc∗ for effective disease control. Sensitivity analysis results reveal that vaccine efficacy is the parameter with the most control over the spread of influenza. Numerical simulations reveal that despite vaccination reducing the reproduction number below unity, influenza still persists in the population. Hence, it is essential, in addition to vaccination, to apply other strategies to curb the spread of influenza.http://dx.doi.org/10.1155/2018/2434560
collection DOAJ
language English
format Article
sources DOAJ
author Caroline W. Kanyiri
Kimathi Mark
Livingstone Luboobi
spellingShingle Caroline W. Kanyiri
Kimathi Mark
Livingstone Luboobi
Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance
Computational and Mathematical Methods in Medicine
author_facet Caroline W. Kanyiri
Kimathi Mark
Livingstone Luboobi
author_sort Caroline W. Kanyiri
title Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance
title_short Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance
title_full Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance
title_fullStr Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance
title_full_unstemmed Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance
title_sort mathematical analysis of influenza a dynamics in the emergence of drug resistance
publisher Hindawi Limited
series Computational and Mathematical Methods in Medicine
issn 1748-670X
1748-6718
publishDate 2018-01-01
description Every year, influenza causes high morbidity and mortality especially among the immunocompromised persons worldwide. The emergence of drug resistance has been a major challenge in curbing the spread of influenza. In this paper, a mathematical model is formulated and used to analyze the transmission dynamics of influenza A virus having incorporated the aspect of drug resistance. The qualitative analysis of the model is given in terms of the control reproduction number, Rc. The model equilibria are computed and stability analysis carried out. The model is found to exhibit backward bifurcation prompting the need to lower Rc to a critical value Rc∗ for effective disease control. Sensitivity analysis results reveal that vaccine efficacy is the parameter with the most control over the spread of influenza. Numerical simulations reveal that despite vaccination reducing the reproduction number below unity, influenza still persists in the population. Hence, it is essential, in addition to vaccination, to apply other strategies to curb the spread of influenza.
url http://dx.doi.org/10.1155/2018/2434560
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AT livingstoneluboobi mathematicalanalysisofinfluenzaadynamicsintheemergenceofdrugresistance
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