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Spatial analysis of G.f.fuscipes abundance in Uganda using Poisson and Zero-Inflated Poisson regression models.

Albert MugenyiDennis MuhanguziGuy HendrickxGaëlle NicolasCharles WaiswaStephen J TorrSusan Christina WelburnPeter M Atkinson
Published in: PLoS neglected tropical diseases (2021)
A methodology was advanced to enable compilation of entomological data for 10 years, which supported the generation of tsetse abundance maps for Uganda through modelling. Our findings indicate the spatial distribution of the G. f. fuscipes as; low 0-5 FTD (48%), medium 5.1-35 FTD (18%) and high 35.1-60 FTD (34%) grounded on seasonality. This approach, amidst entomological data shortages due to limited resources and absence of expertise, can be adopted to enable mapping of the vector to provide better decision support towards designing and implementing targeted tsetse and tsetse-transmitted African trypanosomiasis control strategies.
Keyphrases
  • electronic health record
  • big data
  • antibiotic resistance genes
  • high resolution
  • cancer therapy
  • quality improvement
  • high density
  • microbial community
  • mass spectrometry
  • drug delivery
  • wastewater treatment