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An Application of the Holistochastic Human Exposure Methodology to Naturally Occurring Arsenic in Bangladesh Drinking Water

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  • M. L. Serre
  • A. Kolovos
  • G. Christakos
  • K. Modis

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.

Suggested Citation

  • M. L. Serre & A. Kolovos & G. Christakos & K. Modis, 2003. "An Application of the Holistochastic Human Exposure Methodology to Naturally Occurring Arsenic in Bangladesh Drinking Water," Risk Analysis, John Wiley & Sons, vol. 23(3), pages 515-528, June.
  • Handle: RePEc:wly:riskan:v:23:y:2003:i:3:p:515-528
    DOI: 10.1111/1539-6924.t01-1-00332
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    Cited by:

    1. Ching-Ping Liang & Yi-Chi Chien & Cheng-Shin Jang & Ching-Fang Chen & Jui-Sheng Chen, 2017. "Spatial Analysis of Human Health Risk Due to Arsenic Exposure through Drinking Groundwater in Taiwan’s Pingtung Plain," IJERPH, MDPI, vol. 14(1), pages 1-16, January.
    2. Lorelei Ford & Cheryl Waldner & Javier Sanchez & Lalita Bharadwaj, 2019. "Risk Perception and Human Health Risk in Rural Communities Consuming Unregulated Well Water in Saskatchewan, Canada," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2559-2575, November.
    3. Faisal Hossain & Jason Hill & Amvrossios Bagtzoglou, 2007. "Geostatistically based management of arsenic contaminated ground water in shallow wells of Bangladesh," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(7), pages 1245-1261, July.
    4. Lorelei Ford & Lalita Bharadwaj & Lianne McLeod & Cheryl Waldner, 2017. "Human Health Risk Assessment Applied to Rural Populations Dependent on Unregulated Drinking Water Sources: A Scoping Review," IJERPH, MDPI, vol. 14(8), pages 1-22, July.

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