Quantitative risk assessment of Cryptosporidium in tap water in Ireland

E Cummins1, R Kennedy, M Cormican

  • 1UCD School of Agriculture, Food Science and Veterinary Medicine, College of Life Sciences, Agriculture and Food Science Centre, Belfield, Dublin 4, Ireland. Enda.Cummins@ucd.ie

Insights

Cryptosporidium infection risk from tap water in Ireland is generally low for healthy individuals. However, immunocompromised people face significantly higher risks, especially during extreme contamination events.

Area of Science:

  • Environmental microbiology
  • Public health
  • Water quality assessment

Background:

  • Cryptosporidium species are protozoan parasites causing gastrointestinal illness.
  • Global outbreaks have elevated Cryptosporidium to a major public health concern.
  • Assessing infection risk from tap water is crucial for consumer safety.

Purpose of the Study:

  • To quantitatively evaluate the annual risk of Cryptosporidium infection from tap water in Ireland.
  • To analyze risks across different water supply types (public, group, private wells).
  • To identify key factors influencing infection risk in water treatment.

Main Methods:

  • Development of a quantitative Monte Carlo simulation model.
  • Inclusion of raw water contamination, oocyst removal, and treatment processes (coagulation, sedimentation, filtration, disinfection).
  • Analysis of various scenarios representing different water sources and treatment levels.

Main Results:

  • Simulated annual illness risk for immunocompetent individuals remained below the US EPA threshold, except in extreme contamination events.
  • Risk for immunocompromised individuals was 2-3 orders of magnitude higher.
  • Microfiltration demonstrated a reduced infection risk, particularly under high contamination loads.

Conclusions:

  • Watershed protection and effective coagulation/flocculation are critical for conventional treatment.
  • Treatment process failure frequency is the most significant risk factor.
  • The developed model can aid stakeholders in evaluating infection risks based on water source and treatment data.