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Accurate assessments of drinking water quality, household hygenic practices, and the mindset of the consumers are critical for developing effective water intervention strategies. This paper presents a microbial quality assessment of 512 samples from household water storage containers and 167 samples from points of collection (POC) in remote rural communities in the hilly area of western Nepal. We found that 81% of the stored drinking water samples (mean log of all samples = 1.16 colony-forming units (CFU)/100 mL, standard deviation (SD) = 0.84) and 68% of the POC samples (mean log of all samples = 0.57 CFU/100 mL, SD = 0.86) had detectable . The quality of stored water was significantly correlated with the quality at the POC, with the majority (63%) of paired samples showing a deterioration in quality post-collection. Locally applied household water treatment (HWT) methods did not effectively improve microbial water quality. Among all household sanitary inspection questions, only the presence of livestock near the water storage container was significantly correlated with its microbial contamination. Households' perceptions of their drinking water quality were mostly influenced by the water's visual appearance, and these perceptions in general motivated their use of HWT. Improving water quality within the distribution network and promoting safer water handling practices are proposed to reduce the health risk due to consumption of contaminated water in this setting.
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http://dx.doi.org/10.3390/ijerph17072172 | DOI Listing |
Driven by eutrophication and global warming, the occurrence and frequency of harmful cyanobacteria blooms (CyanoHABs) are increasing worldwide, posing a serious threat to human health and biodiversity. Early warning enables precautional control measures of CyanoHABs within water bodies and in water works, and it becomes operational with high frequency in situ data (HFISD) of water quality and forecasting models by machine learning (ML). However, the acceptance of early warning systems by end-users relies significantly on the interpretability and generalizability of underlying models, and their operability.
View Article and Find Full Text PDFPLoS Negl Trop Dis
September 2025
Department of Clinical Science, Liverpool School of Tropical Medicine, Liverpool, United Kingdom.
Background: Salmonella enterica encompasses over 2,600 serovars, including several commonly associated with severe infection in humans. Salmonella is a major cause of sepsis in Africa; however, diagnosis requires clinical microbiology facilities. Environmental surveillance has the potential to play a role in Salmonella surveillance.
View Article and Find Full Text PDFProbiotics Antimicrob Proteins
September 2025
Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, 247 667, India.
Ethnic fermented foods represent a significant repository for discovering novel probiotic entities. These fermented foods, entrenched in indigenous practices, have conserved a distinct microbiota through generations. Exploration of these fermented foods could yield microbial consortia capable of transforming human health.
View Article and Find Full Text PDFBiol Trace Elem Res
September 2025
Department of Environmental Sciences, Faculty of Biological Sciences, Kohat University of Science and Technology Kohat, Khyber Pakhtunkhwa, 26000, Pakistan.
The aim of the study was to evaluate the toxic metals (TMs) pollution, bioaccumulation and its potential health risk via consumption of different vegetables irrigated by different water sources released from industrial estates of Khyber Pakhtunkhwa. Water (fresh and waste), soil and vegetables samples were collected in triplicates and acid digested. Digestion of samples were followed by evaporation and filtration and then assessed for TMs via atomic absorption spectrophotometer.
View Article and Find Full Text PDFJ Investig Med
September 2025
Department of Physiology, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia.
Aims: To compare the effect of magnesium and potassium on insulin resistance and blood sugar levels among insomniac patients with diabetes mellitus.
Methods: A randomized controlled study was conducted on 320 subjects enrolled in placebo (T1), Magnesium (T2), Potassium (T3) and Magnesium + Potassium (T4) treatment groups. Pre- and post-trial blood sugar and insulin levels were analyzed through blood.