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

Serre, ML; Kolovos, A; Christakos, G; Modis, K

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