WWARN facilitates several collaborative groups to undertake pooled analyses of data from the WWARN data repository to answer specific research questions about malaria drug resistance. Pooling datasets from multiple studies increases sample sizes, so that trends or sub-population effects can be identified with greater certainty. By working together and combining data from different regions, the aim is to improve understanding of resistance, and strengthen efforts to control and eventually eliminate malaria.
Scientists and clinical investigators are invited to collaborate in many of WWARN’s ongoing projects. WWARN offers a platform for partnership – an opportunity for scientists and clinical investigators to share their knowledge and experience.
We need your knowledge and experience
Correlation between K13 mutations and clinical phenotype Study Group - The WWARN K13 Study Group assesses the relationship between K13 molecular marker and parasite clearance data
ACT Malaria and Malnutrition Study Group - The WWARN ACT Malaria and Malnutrition Study Group assesses the effect of various nutritional indicators in treatment outcome in children aged 6-59 months treated with artemisinin based combination therapies for uncomplicated P. falciparum malaria
AS-MQ Dose Impact Study Group - The WWARN AS-MQ Dose Impact Study Group assesses the effect of mg/kg dosing strategies on the risk of treatment failure in patients treated with the currently recommended dose of artesunate-mefloquine (AS-MQ)
- Sharing Data - Combining data from different studies and locations increases sample sizes, identifying subtle trends or sub-population effects with higher statistical certainty. This supports improved health policies, and support the development ofmalaria control and containment measures. Find out how you can share your data
How to get involved