Background: We investigated changes in the spatial distribution of schistosomiasis in Mali following a decade of donor-funded control and a further 12 years without control. Methodology/Principal Findings: National pre-intervention cross-sectional schistosomiasis surveys were conducted in Mali in 1984–1989 (in communities) and again in 2004–2006 (in schools). Bayesian geostatistical models were built separately for each time period and on the datasets combined across time periods. In the former, data from one period were used to predict prevalence of schistosome infections for the other period, and in the latter, the models were used to determine whether spatial autocorrelation and covariate effects were consistent across periods. Schistoso...
Objective To predict the subnational spatial variation in the number of people infected with Schisto...
AbstractSpatial modelling was applied to self-reported schistosomiasis data from over 2.5 million sc...
Background:Schistosoma mansoni and S. haematobium are co-endemic in many areas in Africa. Yet, littl...
We investigated changes in the spatial distribution of schistosomiasis in Mali following a decade of...
Schistosomiasis poses a considerable public health burden in sub- Saharan Africa and a sound underst...
Schistosomiasis poses a considerable public health burden in sub- Saharan Africa and a sound underst...
Schistosomiasis affects more than 200 million individuals, mostly in sub-Saharan Africa, but empiric...
Objective: To predict the subnational spatial variation in the number of people infected with Schist...
Schistosomiasis is recognised as a major public health problem in Rwanda. We aimed to identify the s...
Schistosomiasis affects more than 200 million individuals, mostly in sub-Saharan Africa, but empiric...
Objective: To predict the subnational spatial variation in the number of people infected with Schist...
Background: Schistosomiasis control programmes primarily use school-based surveys to identify areas ...
Schistosomiasis remains one of the most prevalent parasitic diseases in the tropics and subtropics, ...
Spatial modelling was applied to self-reported schistosomiasis data from over 2.5 million school stu...
Background: Schistosoma mansoni and S. haematobium are co-endemic in many areas in Africa. Yet, litt...
Objective To predict the subnational spatial variation in the number of people infected with Schisto...
AbstractSpatial modelling was applied to self-reported schistosomiasis data from over 2.5 million sc...
Background:Schistosoma mansoni and S. haematobium are co-endemic in many areas in Africa. Yet, littl...
We investigated changes in the spatial distribution of schistosomiasis in Mali following a decade of...
Schistosomiasis poses a considerable public health burden in sub- Saharan Africa and a sound underst...
Schistosomiasis poses a considerable public health burden in sub- Saharan Africa and a sound underst...
Schistosomiasis affects more than 200 million individuals, mostly in sub-Saharan Africa, but empiric...
Objective: To predict the subnational spatial variation in the number of people infected with Schist...
Schistosomiasis is recognised as a major public health problem in Rwanda. We aimed to identify the s...
Schistosomiasis affects more than 200 million individuals, mostly in sub-Saharan Africa, but empiric...
Objective: To predict the subnational spatial variation in the number of people infected with Schist...
Background: Schistosomiasis control programmes primarily use school-based surveys to identify areas ...
Schistosomiasis remains one of the most prevalent parasitic diseases in the tropics and subtropics, ...
Spatial modelling was applied to self-reported schistosomiasis data from over 2.5 million school stu...
Background: Schistosoma mansoni and S. haematobium are co-endemic in many areas in Africa. Yet, litt...
Objective To predict the subnational spatial variation in the number of people infected with Schisto...
AbstractSpatial modelling was applied to self-reported schistosomiasis data from over 2.5 million sc...
Background:Schistosoma mansoni and S. haematobium are co-endemic in many areas in Africa. Yet, littl...