A model for malaria treatment evaluation in the presence of multiple species
Camelia R. Walker, Roslyn I. Hickson, Edmond Chang, Pengby Ngor, Siv, Sovannaroth, Julie A. Simpson, David J. Price, James M. McCaw, Ric N. Price,, Jennifer A. Flegg, Angela Devine

TL;DR
This paper introduces a stochastic model for malaria involving P. falciparum and P. vivax, analyzing treatment strategies to reduce cases and deaths, especially focusing on radical cure approaches in co-endemic regions.
Contribution
It presents a novel stochastic model capturing interactions between malaria species and evaluates the impact of different radical cure treatment strategies.
Findings
Unified radical cure with G6PD screening reduces malaria incidence and mortality.
Model highlights importance of treatment coverage for mixed infections.
Sensitivity analysis identifies key parameters influencing outcomes.
Abstract
Plasmodium (P.) falciparum and P. vivax are the two most common causes of malaria. While the majority of deaths and severe morbidity are due to P. falciparum, P. vivax poses a greater challenge to eliminating malaria outside of Africa due to its ability to form latent liver stage parasites (hypnozoites), which can cause relapsing episodes within an individual patient. In areas where P. falciparum and P. vivax are co-endemic, individuals can carry parasites of both species simultaneously. These mixed infections complicate dynamics in several ways; treatment of mixed infections will simultaneously affect both species, P. falciparum can mask the detection of P. vivax, and it has been hypothesised that clearing P. falciparum may trigger a relapse of dormant P. vivax. When mixed infections are treated for only blood-stage parasites, patients are at risk of relapse infections due to P. vivax…
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Taxonomy
TopicsMalaria Research and Control
