Groundwater contamination poses significant challenges to public health and sustainable development in Malawi, where approximately 80 % of the population relies on groundwater sources for drinking water. This study investigates the presence and drivers of nitrate and E. coli contamination in groundwater used for drinking. Analysis was conducted on results from 3388 boreholes/tube wells for nitrate contamination and 2418 drinking water sources drawn from groundwater for E. coli contamination. Overall, 6.11 % and 57.2 % of water-points did not meet WHO guidelines for safe drinking water quality for nitrate and E. coli contamination, respectively. Through a mixed-method approach, utilizing generalised linear mixed models and random forest regression modelling, the study identifies factors relating to sanitation usage as critical drivers of both nitrate and E coli contamination. Pit-latrine usage was identified as a particularly important factor in contamination; accounting for pit latrine density specifically, rather than population density, resulted in better model prediction for both nitrate and high E. coli contamination indicating that consideration of the specific type of sanitation is important in predicting water quality. In addition, a stable isotope tracer analysis method to validate predictions and monitor nitrate in drinking water was piloted, identifying human waste as a likely source of nitrate contamination. Overall, this study underscores the urgency of addressing sanitation-related contamination of drinking water sources to ensure access to safe drinking water in low-income settings.
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http://dx.doi.org/10.1016/j.scitotenv.2024.177418 | DOI Listing |
Environ Sci Pollut Res Int
January 2025
Research Engineer I, Applied Research Center for Environment & Marine Studies, Research Institute, King Fahd University of Petroleum & Minerals, 31261, Dhahran, Saudi Arabia.
Concerns regarding disinfection byproducts (DBPs) in drinking water persist, with measurements in water treatment plants (WTPs) being relatively easier than those in water distribution systems (WDSs) due to accessibility challenges, especially during adverse weather conditions. Machine learning (ML) models offer improved predictions of DBPs in WDSs. This study developed multiple ML models to predict Trihalomethanes (THMs), Haloacetic Acids (HAAs), Dichloroacetonitrile (DCAN), and N-nitrosodimethylamine (NDMA) in WDSs using data collected over 13 years (2008-2020) from 113 water supply systems (WSS) in Ontario.
View Article and Find Full Text PDFDialogues Health
June 2025
Department of Economics, Shahjalal University of Science & Technology, Sylhet-3114, Bangladesh.
Purpose: Energy is a health issue. Energy intersects with health outcomes, as evidenced by the relationship between access to clean fuels and technologies and population health measured by life expectancy at birth.
Methods: Utilizing a comprehensive dataset spanning 190 countries from 2000 to 2022, this paper employs a range of static and dynamic panel data models to analyze this empirical relationship, while effectively managing unobserved country-specific heterogeneity and endogeneity issues.
ACS Environ Au
January 2025
Department of Chemistry, University of Toronto, Toronto, Ontario M5S 3H6, Canada.
Haloacetonitriles (HANs) are a class of toxic drinking water disinfection byproducts (DBPs). However, the toxicity mechanisms of HANs remain unclear. We herein investigated the structure-related in vitro toxicity of 6 representative HANs by utilizing complementary bioanalytical approaches.
View Article and Find Full Text PDFIran J Pharm Res
June 2024
Department of Clinical Sciences, Faculty of Veterinary Medicine, Shahrekord, Iran.
Background: Poultry red mites, or , pose a threat to the welfare and productivity of laying hens. Moreover, the increasing resistance of these mites to conventional miticides highlights the urgent need for alternative treatment options. There are also documented cases of poultry red mite infestations in humans.
View Article and Find Full Text PDFFood Chem X
January 2025
Department of Food Technology and Nutrition, School of Agriculture, Lovely Professional University, Phagwara, 144411, India.
The study focused on converting tea bag waste into strong fluorescence carbon quantum dots (TBW-CQDs) for the detection of acrylamide in drinking water, antimicrobial activity, and photocatalytic degradation. The TBW-CQDs exhibited blue luminescence and maximum absorbance at 287 nm under UV light and distinctive fluorescence emission and excitation wavelengths at 425 nm and 287 nm, respectively. TBW-CQDs revealed a particle size of 8.
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