Dynamics of an age-structured two-strain model for malaria transmission
Farinaz Forouzannia and
A. Gumel
Applied Mathematics and Computation, 2015, vol. 250, issue C, 860-886
Abstract:
A new age-structured deterministic model for assessing the impact of anti-malaria drugs on the transmission dynamics of malaria is designed and qualitatively analysed. The resulting two-strain age-structured model undergoes backward bifurcation, which arises due to malaria-induced mortality in humans. Conditions for the existence of unique resistant strain-only and low-endemicity equilibria are derived for special cases. It is shown, for the case when treatment does not cause drug resistance, that the disease-free equilibrium of the wild strain-only component of the model is globally-asymptotically stable whenever the associated reproduction number of the model is less than unity. Similar result is established for the resistant strain-only component of the model for this case. Numerical simulations of the model, for the case when treatment does not cause drug resistance, show that the model undergoes competitive exclusion (where the malaria strain with the higher reproduction number drives the other to extinction).
Keywords: Malaria; Strains; Reproduction number; Stability (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0096300314013526
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:250:y:2015:i:c:p:860-886
DOI: 10.1016/j.amc.2014.09.117
Access Statistics for this article
Applied Mathematics and Computation is currently edited by Theodore Simos
More articles in Applied Mathematics and Computation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().