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An evidence synthesis approach for combining different data sources illustrated using entomological efficacy of insecticides for indoor residual spraying.

Nathan GreenFiacre AgossaBoulais YovoganRichard OxboroughJovin KitauPie MüllerEdi ConstantMark RowlandEmile F S TchacayaKoudou G BenjaminThomas S ChurcherMichael BetancourtEllie Sherrard-Smith
Published in: PloS one (2022)
We developed an approach to combine sources from trials to maximise the inference that can be made from such data and that is applicable to other systems. Bayesian evidence synthesis enables inference from multiple datasets simultaneously to give a more informative result and highlight conflicts between sources. Advantages and limitations of these models are discussed.
Keyphrases
  • drinking water
  • electronic health record
  • single cell
  • big data
  • air pollution
  • health risk
  • particulate matter
  • machine learning
  • heavy metals