Related Experiment Video
Updated: Jul 12, 2026

EPA Method 1615. Measurement of Enterovirus and Norovirus Occurrence in Water by Culture and RT-qPCR. Part III. Virus Detection by RT-qPCR
Published on: January 16, 2016
Heavy rainfall and waterborne disease outbreaks: the Walkerton example
Heather Auld1, D MacIver, J Klaassen
1Science Assessment and Integration Branch, Meteorological Service of Canada, Toronto, Ontario, Canada. heather.auld@ec.gc.ca
This study looked at how heavy rainfall contributed to a waterborne disease outbreak in Walkerton, Ontario. Researchers found that a 5-day rainfall period in May was unusually high, with return periods of 60 to 100 years. The outbreak occurred several days after the heaviest rainfall on May 12. The study suggests that such extreme rainfall events can overwhelm water treatment systems, increasing the risk of contamination. The authors propose using weather monitoring and forecasts to help water managers prepare for similar events. They also note that similar systems are already used in the United States for beach advisories. The findings highlight the need for integrated weather and health planning to reduce future risks.
Area of Science:
- Environmental health epidemiology
- Water resource management
- Climate impact studies
Background:
Historical waterborne disease outbreaks have often followed extreme weather events. Prior research has shown that heavy rainfall can overwhelm water treatment systems. However, the specific role of rainfall timing and intensity remains unclear. This gap motivated the analysis of the Walkerton outbreak. No prior work had resolved the connection between 5-day rainfall accumulations and disease timing. The study aimed to clarify how rainfall patterns influence contamination risks. Public health officials need clearer guidance on weather-related risks. This paper contributes by linking rainfall data to outbreak timing.
Purpose Of The Study:
The study aimed to assess the relationship between heavy rainfall and the Walkerton waterborne disease outbreak. Researchers wanted to determine if rainfall events could predict contamination risks. They focused on the 5-day rainfall period before the outbreak. The goal was to understand how rainfall accumulations affect water systems. The analysis included historical rainfall data and return period estimates. The team sought to inform water and health managers about risk factors. They aimed to propose a system for monitoring extreme weather impacts. Their work sought to improve preparedness for similar future events.
Main Methods:
The team used historical rainfall data from Environment Canada. They analyzed 5-day rainfall accumulations from May 8 to 12. Return periods for these amounts were calculated using statistical models. The analysis included comparisons to long-term averages. Researchers evaluated how rainfall affected water supply systems. They considered the timing of the outbreak relative to rainfall. A wellhead alert system was proposed as a monitoring tool. The study also referenced similar systems used in beach advisories.
Main Results:
The 5-day rainfall from May 8 to 12 was unusually high in the Walkerton area. These accumulations occurred once every 60 years or more on average. In the heaviest rainfall area, return periods were estimated at 100 years. The outbreak began several days after the peak rainfall on May 12. Rainfall overwhelmed water treatment systems, increasing contamination risks. The study found a strong link between rainfall and disease timing. Return periods suggest such events are rare but impactful. The findings support the need for weather-based monitoring systems.
Conclusions:
The study supports the idea that heavy rainfall can trigger waterborne disease outbreaks. The Walkerton case shows how rare rainfall events can overwhelm systems. Researchers suggest that weather monitoring can help predict contamination risks. A wellhead alert system could improve response times for water managers. The findings highlight the need for integrated weather and health planning. Public health officials should consider rainfall patterns in risk assessments. The study does not claim that rainfall alone causes outbreaks. It emphasizes the importance of combining weather data with other risk factors.
Frequently Asked Questions
The 5-day rainfall from May 8 to 12 was unusually high, with return periods of 60 to 100 years.
They used statistical models to calculate return periods for the 5-day rainfall accumulations.
Extended rainfall can overwhelm water treatment systems, increasing contamination risks.
It is a monitoring tool that uses weather forecasts to alert water managers about potential contamination risks.
Similar systems use weather data to predict daily water quality for public health advisories.
They propose integrating weather monitoring and forecasts to improve preparedness for extreme events.
Related Concept Videos
Steps in Outbreak Investigation
Sources of Food Contamination
Reservoir of Infection
Investigation of Disease Outbreaks
Bacterial Gastroenteritis
Cholera

