Ontology highlight
ABSTRACT: Background
Surprisingly little is known about the geographical overlap between malaria and other tropical diseases, including helminth infections. This is despite the potential public health importance of co-infection and synergistic opportunities for control.Methods
Statistical models are presented that predict the large-scale distribution of hookworm in sub-Saharan Africa (SSA), based on the relationship between prevalence of infection among schoolchildren and remotely sensed environmental variables. Using a climate-based spatial model of the transmission potential for Plasmodium falciparum malaria, adjusted for urbanization, the spatial congruence of populations at coincident risk of infection is determined.Results
The model of hookworm indicates that the infecti
SUBMITTER: Brooker S
PROVIDER: S-EPMC1635726 | biostudies-literature | 2006 Nov
REPOSITORIES: biostudies-literature