Aims:

Establish the epidemiology of malaria infection status, intensity, and mixed species infections in the study population.

Identify shared pathways between malaria and schistosomiasis using Bayesian networks comparing differences in using expert opinion, machine learned networks, or a combination thereof.

Develop co-distribution models for malaria and schistosomiasis, building on schistosomiasis models already available in the group.
Understand the type and relevance of co-infection interactions by age.