Childhood lead exposure through drinking water has long-term effects on cognition and development, and is a significant public health concern. The comprehensive lead testing of public schools entails high expense and time. In prior work, random forest modeling was used successfully to predict the likelihood of lead contamination in the drinking water from schools in the states of California and Massachusetts. In those studies, data from 70% of the schools was used to predict the probability of unsafe water lead levels (WLLs) in the remaining 30%. This study explores how the model predictions degrade, as the training dataset forms a progressively smaller proportion of schools. The size of the training set was varied from 80% to 10% of the total samples in four US states: California, Massachusetts, New York, and New Hampshire. The models were evaluated using the precision-recall area under curve (PR AUC) and area under the receiver operating characteristic curve (ROC AUC). While some states required as few as 10% of the schools to be included in the training set for an acceptable ROC AUC, all four states performed within an acceptable ROC AUC range when at least 50% of the schools were included. The results in New York and New Hampshire were consistent with the prior work that found the most significant predictor in the modeling to be the Euclidean distance to the closest school in the training set demonstrating unsafe WLLs. This study further supports the efficacy of predictive modeling in identifying the schools at a high risk of lead contamination in their drinking water supply, even when the survey data is incomplete on WLLs in all schools.
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http://dx.doi.org/10.3390/ijerph20196895 | DOI Listing |
Cien Saude Colet
January 2025
Programa de Pós-Graduação em Administração, Universidade Federal de Viçosa. Av. Peter Henry Rolfs s/n, Campus Universitário. 36570-000 Viçosa MG Brasil.
This study aimed to understand the impact of municipal basic sanitation policies and plans on the rate of access to drinking water and sewage services. For this, data were collected from the 853 municipalities of Minas Gerais regarding the provision of sanitation, as well as socioeconomic, quality of life and demographic indicators, treated with the t-test techniques for differences between means and Propensity Score Matching. The results revealed the need for greater sanitation planning in the state since a significant portion of municipalities do not have formal planning instruments for the sector.
View Article and Find Full Text PDFJ Speech Lang Hear Res
January 2025
Division of Phoniatrics and Pediatric Audiology, Department of Otolaryngology, Munich University Hospital and Faculty of Medicine, Munich University (Ludwig-Maximilians-Universität), Germany.
Purpose: This study explores the effects of water intake and a hyaluronic acid (HA)-containing lozenge on acoustic measurements and vocal oscillation patterns investigated after a vocal loading test (VLT).
Method: Ten healthy subjects (five females, five males) read out loud a standardized text for 10 min at a target level of 80 dB(A), measured 30 cm from the mouth, under three conditions but each after fasting for 2 hr: (a) drinking 0.7 l of water, (b) sucking an HA-containing lozenge, and (c) neither of both before the VLT.
Integr Environ Assess Manag
January 2025
Henkel AG & Co KGaA, Düsseldorf, Germany.
The assessment of humans indirectly exposed to chemicals via the environment (HvE) is an assessment element of the Registration, Evaluation, Authorisation, and Restriction of Chemicals (REACH) regulation. The European Union System for the Evaluation of Substances (EUSES) is the default screening tool, aimed at prioritizing chemicals for further refinement/higher tier assessment. This review summarizes the approach used in EUSES, evaluates the state of the science in human exposure modeling via the environment, and identifies areas for further research to strengthen the confidence and applicability of EUSES for assessing HvE.
View Article and Find Full Text PDFEnviron Toxicol Chem
January 2025
School of Energy and Environmental Engineering, University of Science and Technology Beijing, 100083China.
Phthalates, known as phthalate esters (PAEs), are among the most ubiquitous pervasive env7ironmental endocrine disruptors (EEDs), extensively utilized globally in various facets of modern life due to their irreplaceable role as plasticizers. The exponential production and utilization of plastic goods have substantially escalated plastic waste accumulation. Consequently, PAEs have infiltrated the environment, contaminating food and drinking water reservoirs, posing notable threats to human health.
View Article and Find Full Text PDFEnviron Sci Technol
January 2025
U.S. Environmental Protection Agency/Office of Research and Development, Durham, North Carolina 27711, United States.
Humans experience widespread exposure to anthropogenic per- and polyfluoroalkyl substances (PFAS) through various media, which can lead to a wide range of negative health impacts. Tap water is an important source of exposure in communities with any degree of contamination but routine or large-scale PFAS monitoring often depends on targeted analytical methods limited to measuring specific PFAS. We analyzed 680 tap water samples from the American Healthy Homes Survey II for PFAS using non-targeted analysis (NTA) to expand the range of detectable PFAS.
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