Malaria deaths are increasing globally, mainly because the parasites that cause malaria are becoming resistant to the most commonly used drugs. A new model based on data from the field can help to predict the effective lifespan of a drug before widespread resistance develops. The model focuses on drug combinations and can be applied to both current and potential treatments. It can be used to forecast the lifespan of a drug before parasites develop resistance in a range of combination treatments. This can be a valuable tool for policy makers and National Malaria Control programmes facing dilemmas in choosing appropriate treatment regimes of drugs known as antifolates.
Watkins, W.; Sibley, C.; Hastings, I. Selecting appropriate antimalarial drugs: a model for policy makers. (2005)
Selecting appropriate antimalarial drugs: a model for policy makers.