2009
DOI: 10.1016/j.tpb.2008.10.002
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Effects of treatment and drug resistance on the transmission dynamics of malaria in endemic areas

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Cited by 52 publications
(43 citation statements)
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“…Information on the epidemiology of resistance can be applied to the monitoring and control of the appearance and propagation of chemoresistance in populations of natural parasites. This monitoring can be performed with drugs in use in a particular location or with new drug alternatives, especially when the parasite exhibits cross-resistance to drugs (Ferreira et al 2007, Chiyaka et al 2009). The stabilised field isolates developed and examined in the present study exhibited similar sensitivity profiles to chloroquine, quinine and artemisinin.…”
Section: Discussionmentioning
confidence: 99%
“…Information on the epidemiology of resistance can be applied to the monitoring and control of the appearance and propagation of chemoresistance in populations of natural parasites. This monitoring can be performed with drugs in use in a particular location or with new drug alternatives, especially when the parasite exhibits cross-resistance to drugs (Ferreira et al 2007, Chiyaka et al 2009). The stabilised field isolates developed and examined in the present study exhibited similar sensitivity profiles to chloroquine, quinine and artemisinin.…”
Section: Discussionmentioning
confidence: 99%
“…For our model, we augment the basic SIR model to include preventative measures as seen previously by other researchers [3,4,5]. We include the effects of ITNs and IRS preventative measures based on the fact that both methods are recommended for the prevention of malaria by the WHO.…”
Section: Model Formationmentioning
confidence: 99%
“…The SIR model is a simple model useful for modeling diseases such as chicken pox and influenza [15]. Modern epidemiology ODE models are based on these same SIR concepts of populations flowing between states [1,3,5,11,13]. For our model, we will apply the basic concepts of the SIR model to the vector-borne disease malaria.…”
mentioning
confidence: 99%
“…Mathematical models of pathogen population dynamics, by virtue of their ability to provide a quantitative means for integrating and simulating the impacts of multi-factorial and multi-scale disease transmission processes, may offer us a particularly pertinent methodological tool for developing such holistic predictive and investigative frameworks [7][8][9][10][11][12][13]19,25,27,[42][43][44][45][46][47][48][49][50][51][52][53][54][55][56][57][58]. Recent advances in incorporating the effects of climate, as well as anthropogenic alterations of ecosystems (e.g.…”
Section: Introductionmentioning
confidence: 99%