Building evidence to support scaling of a machine learning-enabled safe water optimization tool (SWOT) for humanitarian response

Principal investigator

Syed Imran Ali
Purpose of study
Purpose of study

The core purpose of the Safe Water Optimization Tool, or SWOT is to help assure quality of safe water interventions in order to maximum public health benefits among populations in humanitarian settings. This research wants to integrate participato...

  • Concept
  • Protocol & ERB
  • Implementation
  • Completion
  • Archived

Study timeline

Publications

  • Modelling point-of-consumption residual chlorine in humanitarian response: Can cost-sensitive learning improve probabilistic forecasts?
    De Santi, Michael "–" Public Library of Science (PLoS) "(2022)"