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A generalized framework for estimating snakebite underreporting using statistical models: A study in Colombia.

Carlos Andrés Bravo-VegaCamila Renjifo-IbañezMauricio Santos-VegaLeonardo Jose León NuñezTeddy Angarita-SierraJuan Manuel Cordovez
Published in: PLoS neglected tropical diseases (2023)
Our framework permits snakebite underreporting to be estimated using data on snakebite incidence and surveillance, presence locations for the most medically significant venomous snake species, and openly available information on population size, poverty, climate, land cover, roads, and the locations of medical centers. Thus, our algorithm could be used in other countries to estimate total snakebite incidence and improve disease management strategies; however, this framework does not serve as a replacement for a surveillance system, which should be made a priority in countries facing similar public health challenges.
Keyphrases
  • public health
  • climate change
  • risk factors
  • healthcare
  • machine learning
  • electronic health record
  • big data
  • health information
  • neural network
  • genetic diversity
  • water quality