Skip to main content

An Integrated Risk Model of a Drinking-Water – Borne Cryptosporidiosis Outbreak

Buy Article:

$43.00 plus tax (Refund Policy)

A dynamic risk model is developed to track the occurrence and evolution of a drinking-water–borne cryptosporidiosis outbreak. The model characterizes and integrates the various environmental, medical, institutional, and behavioral factors that determine outbreak development and outcome. These include contaminant delivery and detection, water treatment efficiency, the timing of interventions, and the choices that people make when confronted with a known or suspected risk. The model is used to evaluate the efficacy of alternative strategies for improving risk management during an outbreak, and to identify priorities for improvements in the public health system. Modeling results indicate that the greatest opportunity for curtailing a large outbreak is realized by minimizing delays in identifying and correcting a drinking-water problem. If these delays cannot be reduced, then the effectiveness of risk communication in preemptively reaching and persuading target populations to avoid exposure becomes important.
No References
No Citations
No Supplementary Data
No Article Media
No Metrics

Keywords: Cryptosporidium; cryptosporidiosis; drinking water; integrated assessment; risk communication; risk model

Document Type: Original Article

Affiliations: 1: Department of Engineering and Public Policy, Carnegie Mellon University, 2: Department of Engineering and Public Policy and the Department of Social and Decision Sciences, Carnegie Mellon University, 3: Department of Social and Decision Sciences, Carnegie Mellon University, 4: Department of Engineering and Public Policy and Department of Civil and Environmental Engineering, Carnegie Mellon University

Publication date: 2000-08-01

  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
X
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more