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Conceptual framework of a cloud-based decision support system for arsenic health risk assessment

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  • Sushant K. Singh

    (Sustainable Operative Solutions (SOS), LLC.)

Abstract

Because of the lack of sustainable arsenic mitigation technologies and awareness of the possible health risks due to arsenic consumption, nearly 200 million people are potentially exposed to elevated levels of arsenic through drinking water in over 100 countries. Cloud computing (CC) could help bridge the gaps between wireless communication and data generated through environmental and/or health interventions. This study offers a conceptual framework of a cloud-based decision support system for arsenic health risk assessment (CC-AHRA). It also explains how the CC-AHRA could help assist exposed communities in assessing cancer risk due to arsenic exposure through drinking water. The study also discusses how the CC-AHRA can help water management authorities, professionals, researchers, and private enterprises in making informed decisions toward reducing the likely health risks due to arsenic consumption.

Suggested Citation

  • Sushant K. Singh, 2017. "Conceptual framework of a cloud-based decision support system for arsenic health risk assessment," Environment Systems and Decisions, Springer, vol. 37(4), pages 435-450, December.
    • Handle: RePEc:spr:envsyd:v:37:y:2017:i:4:d:10.1007_s10669-017-9641-x
    DOI: 10.1007/s10669-017-9641-x
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    References listed on IDEAS

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    1. World Bank, 2016. "World Development Indicators 2016," World Bank Publications - Books, The World Bank Group, number 23969.
    2. Sushant Singh & Neeraj Vedwan, 2015. "Mapping composite vulnerability to groundwater arsenic contamination: an analytical framework and a case study in India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 75(2), pages 1883-1908, January.
    3. Jeffrey Keisler & Igor Linkov, 2014. "Environment models and decisions," Environment Systems and Decisions, Springer, vol. 34(3), pages 369-372, September.
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    Cited by:

    1. Zachary A. Collier & James H. Lambert & Igor Linkov, 2017. "Global perspectives and case studies of environmental management and policy," Environment Systems and Decisions, Springer, vol. 37(4), pages 379-380, December.

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