Evidence map›Paper›PMID 37923921›Full record

ArticleScientific reports2023

Variability of groundwater fluoride and its proportionate risk quantification via Monte Carlo simulation in rural and urban areas of Agra district, India.

Shahjad Ali, Manish Baboo Agarwal, Sitaram Verma, Raisul Islam, Rajesh Kumar Deolia, Shailendra Singh, Jitendra Kumar, Ali Akbar Mohammadi, Manoj Kumar Gupta, Mehdi Fattahi and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Shahjad AliDepartment of Applied Sciences, Anand Engineering College, Agra, Uttar Pradesh, India.
Manish Baboo AgarwalDepartment of Applied Sciences, Anand Engineering College, Agra, Uttar Pradesh, India.
Sitaram VermaDepartment of Environmental Science and Engineering, IIT (ISM), Dhanbad, Jharkhand, India.
Raisul IslamDepartment of Civil Engineering, GLA University, Mathura, India.
Rajesh Kumar DeoliaDepartment of Applied Science (Mathemetics), G.L. Bajaj Group of Institutions, Mathura, India.
Shailendra SinghDepartment of Mechanical Engineering, Anand Engineering College, Agra, India.
Jitendra KumarDepartment of Mathematics & Computing, Madhav Institute of Technology & Science, Gwalior, India.
Ali Akbar MohammadiDepartment of Environmental Health Engineering, Neyshabur University of Medical Sciences, Neyshabur, Iran. Mohammadi.eng73@gmail.com.
Manoj Kumar GuptaDepartment of Applied Science, Bundelkhand Institute of Engineering and Technology (BIET), Jhansi, India.
Mehdi FattahiInstitute of Research and Development, Duy Tan University, Da Nang, Vietnam. mehdifattahi@duytan.edu.vn.
P U NguyenInstitute of Research and Development, Duy Tan University, Da Nang, Vietnam.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study quantifies the groundwater fluoride contamination and assesses associated health risks in fluoride-prone areas of the city of Taj Mahal, Agra, India. The United States Environmental Protection Agency (USEPA) risk model and Monte Carlo Simulations were employed for the assessment. Result revealed that, among various rural and urban areas Pachgain Kheda exhibited the highest average fluoride concentration (5.20 mg/L), while Bagda showed the lowest (0.33 mg/L). Similarly, K.K. Nagar recorded 4.38 mg/L, and Dayalbagh had 1.35 mg/L. Both urban and rural areas exceeded the WHO-recommended limit of 1.5 mg/L, signifying significant public health implications. Health risk assessment indicated a notably elevated probability of non-carcinogenic risk from oral groundwater fluoride exposure in the rural Baroli Ahir block. Risk simulations highlighted that children faced the highest health risks, followed by teenagers and adults. Further, Monte Carlo simulation addressed uncertainties, emphasizing escalated risks for for children and teenagers. The Hazard Quotient (HQ) values for the 5th and 95th percentile in rural areas ranged from was 0.28-5.58 for children, 0.15-2.58 for teenager, and 0.05-0.58 for adults. In urban areas, from the range was 0.53 to 5.26 for children, 0.27 to 2.41 for teenagers, and 0.1 to 0.53 for adults. Physiological and exposure variations rendered children and teenagers more susceptible. According to the mathematical model, calculations for the non-cancerous risk of drinking water (HQ-ing), the most significant parameters in all the targeted groups of rural areas were concentration (C

Indexed as

Drinking WaterGroundwaterWater Pollutants, ChemicalAdolescentAdultChildEnvironmental MonitoringFluoridesHumansIndiaMonte Carlo MethodRisk AssessmentDrinking WaterFluoridesWater Pollutants, Chemical

Identifiers

PMID37923921
PMCPMC10624820

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.