Quantitative health risk assessment of microbial hazards from water sources for community and self-supply drinking water systems

Date

2023-12-26

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Volume Title

Publisher

Elsevier

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Type

Article

ISSN

0304-3894

Format

Citation

Yan C, Wang RN, Lai TN, et al., (2023) Quantitative health risk assessment of microbial hazards from water sources for community and self-supply drinking water systems. Journal of Hazardous Materials, Volume 465, March 2024, Article number 133324

Abstract

In low and medium income countries (LMIC) drinking water sources (wells and boreholes) often contain a high number of pathogenic microorganisms, that can pose significant human and environmental health risks. In this study, a quantitative microbial risk assessment approach based on existing literature was conducted to evaluate and compare the quantitative health risks associated with different age groups using various drinking water supply systems. Results showed that both community-supply and self-supply modes exhibit similar levels of risk. However, the self-supply water source consistently showed higher risks compared to the community-supply one. Borehole water was found to be a more suitable option than well water, consistently showing between 5 and 8 lower health risks for E. coli and fecal coliform levels, respectively. The sensitivity analysis further showed the importance of prioritizing the reduction of E. coli concentration in well water and fecal coliform concentration in borehole water. This study offers a fresh perception on quantifying the impact of exposure concentration and age groups, shedding light on how they affect environmental health risks. These findings provide valuable insights for stakeholders involved in the management and protection of water sources.

Description

Software Description

Software Language

Github

Keywords

Quantitative microbial risk assessment, Drinking water, Well and borehole water, Drinking water supply systems, Sensitivity analysis

DOI

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Attribution-NonCommercial-NoDerivatives 4.0 International

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Funder/s

This work was supported by the National Natural Science Foundation of China [grant number 51608497]; the Environmental Microbiology and Human Health Programme [grant number NE/M010961/1]; and the SPF Clean Air Programme Grant [grant number NE/V002171/1] in facilitating this collaborative study.