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

Sushant Singh

Environment Systems and Decisions, 2017, vol. 37, issue 4, 435-450

Abstract: 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.

Keywords: Arsenic; Cloud computing; IoT; ICT; Health risk; GIS; Dashboard; Decision support system; Decision making (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s10669-017-9641-x

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