• FluTrackers.com Inc. does not provide medical advice. Information on this web site is collected from various internet resources, and the FluTrackers board of directors makes no warranty to the safety, efficacy, correctness or completeness of the information posted on this site by any author or poster. The information collated here is for instructional and/or discussion purposes only and is NOT intended to diagnose or treat any disease, illness, or other medical condition. Every individual reader or poster should seek advice from their personal physician/healthcare practitioner before considering or using any interventions that are discussed on this website. By continuing to access this website you agree to consult your personal physican before using any interventions posted on this website, and you agree to hold harmless FluTrackers.com Inc., the board of directors, the members, and all authors and posters for any effects from use of any medication, supplement, vitamin or other substance, device, intervention, etc. mentioned in posts on this website, or other internet venues referenced in posts on this website.
  • We are not asking for any donations. Do not donate to any entity who says they are raising funds for us.

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

tetano

Editor, Senior Moderator
Comput Math Methods Med. 2018 Aug 29;2018:2434560. doi: 10.1155/2018/2434560. eCollection 2018.
[h=1]Mathematical Analysis of Influenza A Dynamics in the Emergence of Drug Resistance.[/h] Kanyiri CW[SUP]1[/SUP], Mark K[SUP]2[/SUP], Luboobi L[SUP]3[/SUP].
[h=3]Author information[/h]

[h=3]Abstract[/h] 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, R[SUB]c[/SUB]. The model equilibria are computed and stability analysis carried out. The model is found to exhibit backward bifurcation prompting the need to lower R[SUB]c[/SUB] to a critical value R[SUB]c[/SUB][SUP][/SUP] 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.


PMID: 30245737 PMCID: PMC6136569 DOI: 10.1155/2018/2434560
 
Back
Top Bottom