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Estimating the prevalence and intensity of Schistosoma mansoni infection among rural communities in Western Tanzania: The influence of sampling strategy and statistical approach.

Jared S BakuzaMatthew J DenwoodGamba NkwengulilaBarbara K Mable
Published in: PLoS neglected tropical diseases (2017)
Overall, our data suggest a more widespread distribution of S. mansoni in this part of Tanzania than was previously thought. The apparent prevalence estimates substantially under-estimated the true prevalence as determined by the ZINB models, and the two types of sampling strategies also resulted in differing conclusions regarding prevalence of infection. We therefore recommend that future surveillance programmes designed to assess risk factors should use active sampling whenever possible, in order to avoid the self-selection bias associated with passive sampling.
Keyphrases
  • risk factors
  • public health
  • south africa
  • high intensity
  • magnetic resonance imaging
  • magnetic resonance
  • current status
  • big data
  • deep learning
  • artificial intelligence