An application of the holistochastic human exposure methodology to naturally occurring arsenic in Bangladesh drinking water

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dc.contributor.author Serre, ML en
dc.contributor.author Kolovos, A en
dc.contributor.author Christakos, G en
dc.contributor.author Modis, K en
dc.date.accessioned 2014-03-01T11:44:32Z
dc.date.available 2014-03-01T11:44:32Z
dc.date.issued 2003 en
dc.identifier.issn 0272-4332 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/37000
dc.subject Arsenic en
dc.subject BME en
dc.subject Exposure en
dc.subject Health effect en
dc.subject Holistochastic en
dc.subject.classification Mathematics, Interdisciplinary Applications en
dc.subject.classification Social Sciences, Mathematical Methods en
dc.subject.other Arsenic en
dc.subject.other Entropy en
dc.subject.other Epidemiology en
dc.subject.other Sampling en
dc.subject.other Tumors en
dc.subject.other Human exposure methodology en
dc.subject.other Potable water en
dc.subject.other arsenic en
dc.subject.other biological marker en
dc.subject.other drinking water en
dc.subject.other arsenic en
dc.subject.other drinking water en
dc.subject.other health impact en
dc.subject.other water quality en
dc.subject.other water supply en
dc.subject.other Bangladesh en
dc.subject.other Bayes theorem en
dc.subject.other bladder cancer en
dc.subject.other cancer risk en
dc.subject.other environmental exposure en
dc.subject.other geographic distribution en
dc.subject.other health hazard en
dc.subject.other holistochastic method en
dc.subject.other human en
dc.subject.other methodology en
dc.subject.other population risk en
dc.subject.other review en
dc.subject.other risk assessment en
dc.subject.other Arsenic en
dc.subject.other Bangladesh en
dc.subject.other Bayes Theorem en
dc.subject.other Carcinogens, Environmental en
dc.subject.other Environmental Exposure en
dc.subject.other Humans en
dc.subject.other Linear Models en
dc.subject.other Nonlinear Dynamics en
dc.subject.other Public Health en
dc.subject.other Risk Assessment en
dc.subject.other Stochastic Processes en
dc.subject.other Urinary Bladder Neoplasms en
dc.subject.other Water Pollutants, Chemical en
dc.subject.other Water Supply en
dc.subject.other Bangladesh en
dc.title An application of the holistochastic human exposure methodology to naturally occurring arsenic in Bangladesh drinking water en
heal.type other en
heal.identifier.primary 10.1111/1539-6924.t01-1-00332 en
heal.identifier.secondary http://dx.doi.org/10.1111/1539-6924.t01-1-00332 en
heal.language English en
heal.publicationDate 2003 en
heal.abstract The occurrence of arsenic in drinking water is an issue of considerable interest. In the case of Bangladesh, arsenic concentrations have been closely monitored since the early 1990s through an extensive sampling network. The focus of the present work is methodological. In particular, we propose the application of a holistochastic framework of human exposure to study lifetime population damage due to arsenic exposure across Bangladesh. The Bayesian Maximum Entropy theory is an important component of this framework, which possesses solid theoretical foundations and offers powerful tools to assimilate a variety of knowledge bases (physical, epidemiologic, toxicokinetic, demographic, etc.) and uncertainty sources (soft data, measurement errors, etc.). The holistochastic exposure approach leads to physically meaningful and informative spatial maps of arsenic distribution in Bangladesh drinking water. Global indicators of the adverse health effects on the population are generated, and valuable insight is gained by blending information from different scientific disciplines. The numerical results indicate an increased lifetime bladder cancer probability for the Bangladesh population due to arsenic. The health effect estimates obtained and the associated uncertainty assessments are valuable tools for a broad spectrum of end-users. en
heal.publisher BLACKWELL PUBLISHERS en
heal.journalName Risk Analysis en
dc.identifier.doi 10.1111/1539-6924.t01-1-00332 en
dc.identifier.isi ISI:000183477800009 en
dc.identifier.volume 23 en
dc.identifier.issue 3 en
dc.identifier.spage 515 en
dc.identifier.epage 528 en

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