Waterborne illness is one of the leading causes of infectious disease outbreaks in refugee and internally displaced persons (IDP) settlements, but a team led by York University has developed a new technique to keep drinking water safe using machine learning, and it could be a game changer. The research is published in the journal PLOS Water.
As drinking water is not piped into homes in most settlements, residents instead collect it from public tap stands using storage containers.
“When water is stored in a container in a dwelling it is at high risk of being exposed to contaminants, so it’s imperative there is enough free residual chlorine to kill any pathogens,” says Lassonde School of Engineering Ph.D. student Michael De Santi, who is part of York’s Dahdaleh Institute for Global Health Research, and who led the research.
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