Rapid diagnostic tests (RDTs) provide point-of-care tests for diagnosing malaria in communities. A range of RDTs has been developed to diagnose malaria infections based on detecting the presence of specific antigens in human blood, such as PfHRP2 and LDH. However, the characteristics of these antigens during a human malaria infection are often not well understood. This study will use mathematical models to provide a better understanding of the antigen production and decay over a malaria infection using in-vitro studies and data collected from controlled human malaria infections. The models will be validated using data collected in natural infections, and will be used to predict the performance of RDTs in field settings.
Other team members: Lachlan Webb, Louise Marquart, Sumi Britton, Michelle Gatton