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A QMRA was developed to assess the risk of <jats:italic>Cryptosporidium<\/jats:italic> infection through the consumption of municipally treated drinking water. Simulations were based on site\u2010specific surface water contamination levels and drinking water treatment log<jats:sub>10<\/jats:sub> reduction capacity for <jats:italic>Cryptosporidium<\/jats:italic>. Results suggested that the risk of <jats:italic>Cryptosporidium<\/jats:italic> infection via drinking water in the study community, assuming routine operation of the water treatment plant, was negligible (6 infections per 10<jats:sup>13<\/jats:sup> persons per day\u20145th percentile: 2 infections per 10<jats:sup>15<\/jats:sup> persons per day; 95th percentile: 3 infections per 10<jats:sup>12<\/jats:sup> persons per day). The risk is essentially nonexistent during optimized, routine treatment operations. The study community achieves between 7 and 9 log<jats:sub>10<\/jats:sub><jats:italic>Cryptosporidium<\/jats:italic> oocyst reduction through routine water treatment processes. Although these results do not preclude the need for constant vigilance by both water treatment and public health professionals in this community, they suggest that the cause of higher rates of cryptosporidiosis are more likely due to recreational water contact, or perhaps direct animal contact. QMRA can be successfully applied at the community level to identify data gaps, rank relative public health risks, and forecast future risk scenarios. It is most useful when performed in a collaborative way with local stakeholders, from beginning to end of the risk analysis paradigm.<\/jats:p>","DOI":"10.1111\/j.1539-6924.2011.01742.x","type":"journal-article","created":{"date-parts":[[2012,3,24]],"date-time":"2012-03-24T10:02:18Z","timestamp":1332583338000},"page":"1122-1138","source":"Crossref","is-referenced-by-count":19,"title":["Considering the Risk of Infection by <i>Cryptosporidium<\/i> via Consumption of Municipally Treated Drinking Water from a Surface Water Source in a Southwestern Ontario Community"],"prefix":"10.1111","volume":"32","author":[{"given":"K. D. 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