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Malaria elimination is under threat due to the emergence of parasites resistant to artemisinin derivatives, the most efficacious drugs against Plasmodium falciparum malaria. Novel tools for supporting the surveillance of artemisinin resistance are critical for malaria control and elimination strategies. We developed a modelling tool
to analyse data on parasite half-life as distributions of artemisinin-sensitive and artemisinin-resistant populations, which could help in the surveillance of artemisinin resistance.

The model itself was validated using parasite half-life data from studies on the Thai-Myanmar border and in Western Cambodia. The tool can be accessed at bit.ly/id_artemisinin_resistance. The associated article can be found here. The model can be used to analyse parasite clearance half-life data after treatment with artemisinin derivatives and could also be used alongside other methods such as the identification of molecular markers.