Arsenic (As) occurs naturally in geologic conditions, but groundwater contamination might also be found due to the consequences of mining, agricultural and industrial processes. Human exposure to As after drinking contaminated water is commonly associated with acute toxicity outcomes and chronic effects ranging from skin lesions to cancer. Integrated actions from environmental and health authorities are needed to reduce exposure, monitoring outcomes, and promotion of actions to offer sustainable As-safe water alternatives. Considering recent research trends, the present review summarizes and discusses current issues associated with the process and effects of contamination and decontamination in an environmental health perspective. Recent findings reinforce the harmful effects of the consumption of As-contaminated water and broaden the scope of related diseases including intestinal maladies, type 2 diabetes, cancers of bladder, kidneys, lung, and liver. Among the main strategies to diminish or remove As from water, the following are highlighted (1) ion exchange system and membrane filtration (micro, ultra, and nanofiltration) as physicochemical treatment systems; (2) use of cyanobacteria and algae in bioremediation programs and (3) application of nanotechnology for water treatment.
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http://dx.doi.org/10.1080/10937404.2021.1898504 | DOI Listing |
BMC Res Notes
January 2025
Department of Epidemiology and Disease Control, School of Public Health, University of Ghana, Accra, Ghana.
Background: This study evaluated Health Care Workers' (HCWs) knowledge, attitude, perceived compliance, and potential influencing factors related to Infection Prevention and Control (IPC) standards in the North Bank East region of The Gambia.
Method: The study was an analytic cross-sectional study, conducted in 2021 using a multistage sampling technique. Thirteen health facilities were sampled from the North Bank East Region of The Gambia.
J Health Popul Nutr
January 2025
Department of Pharmacy, Institut Teknologi Sumatera, Lampung, Indonesia.
Background: Tuberculosis (TB) is a global health problem, including in Indonesia, with East Lombok as a high prevalence region. Although control programmes have been implemented, TB cases remain high. Patient behaviours that are less supportive of treatment, such as non-compliance and social stigma, pose a challenge to TB control efforts in this area.
View Article and Find Full Text PDFBioData Min
January 2025
Department of Statistics, College of Science, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia.
Background: This study employs a LSTM-FC neural networks to address the critical public health issue of child undernutrition in Ethiopia. By employing this method, the study aims classify children's nutritional status and predict transitions between different undernutrition states over time. This analysis is based on longitudinal data extracted from the Young Lives cohort study, which tracked 1,997 Ethiopian children across five survey rounds conducted from 2002 to 2016.
View Article and Find Full Text PDFMol Neurodegener
January 2025
Aligning Science Across Parkinson's (ASAP) Collaborative Research Network, Chevy Chase, MD, 20815, USA.
Gastrointestinal (GI) involvement in Lewy body diseases (LBDs) has been observed since the initial descriptions of patients by James Parkinson. Recent experimental and human observational studies raise the possibility that pathogenic alpha-synuclein (⍺-syn) might develop in the GI tract and subsequently spread to susceptible brain regions. The cellular and mechanistic origins of ⍺-syn propagation in disease are under intense investigation.
View Article and Find Full Text PDFMalar J
January 2025
MIVEGEC, Univ. Montpellier, CNRS, IRD, Montpellier, France.
Background: The increasing availability of electronic health system data and remotely-sensed environmental variables has led to the emergence of statistical models capable of producing malaria forecasts. Many of these models have been operationalized into malaria early warning systems (MEWSs), which provide predictions of malaria dynamics several months in advance at national and regional levels. However, MEWSs rarely produce predictions at the village-level, the operational scale of community health systems and the first point of contact for the majority of rural populations in malaria-endemic countries.
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