Associations between extreme precipitation, drinking water, and protozoan acute gastrointestinal illnesses in four North American Great Lakes cities (2009-2014)

• Published in: Journal of water and health Vol. 20; no. 5; pp. 849 - 862
• Main Authors: Graydon, Ryan C, Mezzacapo, Michael, Boehme, Jennifer, Foldy, Seth, Edge, Thomas A, Brubacher, Jordan, Chan, Hing Man, Dellinger, Matthew, Faustman, Elaine M, Rose, Joan B, Takaro, Tim K
• Format: Journal Article
• Language: English
• Published: England IWA Publishing 01.05.2022
• Subjects: Aquatic ecosystems; Change detection; Climate change; Coliforms; Cryptosporidiosis; Data exchange; Drinking water; Environmental protection; Epidemics; Extreme weather; Gastrointestinal diseases; Giardiasis; great lakes; Illnesses; Lakes; Offshore; Pathogens; Precipitation; Protozoa; Public health; Regression analysis; Regression models; Seasonal variations; Seasonality; Sedimentation & deposition; Statistical analysis; Surface water; Turbidity; Water quality; Water supply; Water treatment; Watershed management; Watersheds; Canada; Lake Michigan; Lake Ontario; United States > US; Wisconsin
• ISSN: 1477-8920; 1996-7829
• DOI: 10.2166/wh.2022.018

Climate change is already impacting the North American Great Lakes ecosystem and understanding the relationship between climate events and public health, such as waterborne acute gastrointestinal illnesses (AGIs), can help inform needed adaptive capacity for drinking water systems (DWSs). In this study, we assessed a harmonized binational dataset for the effects of extreme precipitation events (≥90th percentile) and preceding dry periods, source water turbidity, total coliforms, and protozoan AGIs - cryptosporidiosis and giardiasis - in the populations served by four DWSs that source surface water from Lake Ontario (Hamilton and Toronto, Ontario, Canada) and Lake Michigan (Green Bay and Milwaukee, Wisconsin, USA) from January 2009 through August 2014. We used distributed lag non-linear Poisson regression models adjusted for seasonality and found extreme precipitation weeks preceded by dry periods increased the relative risk of protozoan AGI after 1 and 3-5 weeks in three of the four cities, although only statistically significant in two. Our results suggest that the risk of protozoan AGI increases with extreme precipitation preceded by a dry period. As extreme precipitation patterns become more frequent with climate change, the ability to detect changes in water quality and effectively treat source water of varying quality is increasingly important for adaptive capacity and protection of public health.