Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2000-11-2
pubmed:abstractText
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.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Aug
pubmed:issn
0272-4332
pubmed:author
pubmed:issnType
Print
pubmed:volume
20
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
495-511
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed-meshheading:11051073-Choice Behavior, pubmed-meshheading:11051073-Communication, pubmed-meshheading:11051073-Community-Institutional Relations, pubmed-meshheading:11051073-Cryptosporidiosis, pubmed-meshheading:11051073-Decision Support Techniques, pubmed-meshheading:11051073-Disease Outbreaks, pubmed-meshheading:11051073-Environmental Health, pubmed-meshheading:11051073-Health Behavior, pubmed-meshheading:11051073-Health Priorities, pubmed-meshheading:11051073-Humans, pubmed-meshheading:11051073-Models, Biological, pubmed-meshheading:11051073-Probability, pubmed-meshheading:11051073-Public Health Administration, pubmed-meshheading:11051073-Risk Assessment, pubmed-meshheading:11051073-Systems Integration, pubmed-meshheading:11051073-Time Factors, pubmed-meshheading:11051073-Water, pubmed-meshheading:11051073-Water Purification, pubmed-meshheading:11051073-Water Supply
pubmed:year
2000
pubmed:articleTitle
An integrated risk model of a drinking-water-borne cryptosporidiosis outbreak.
pubmed:affiliation
Department of Engineering and Public Policy, Carnegie Mellon University, Pittsburgh, PA 15213, USA. casman@andrew.cmu.edu
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't