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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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 |
work_keys_str_mv |
AT carolinewkanyiri mathematicalanalysisofinfluenzaadynamicsintheemergenceofdrugresistance AT kimathimark mathematicalanalysisofinfluenzaadynamicsintheemergenceofdrugresistance AT livingstoneluboobi mathematicalanalysisofinfluenzaadynamicsintheemergenceofdrugresistance |
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1725800976384786432 |