Evidence map›Paper›PMID 41974801›Full record

ArticleScientific reports2026

An advanced GIS based hazard index tool for an automated health risk assessment framework.

Fatih Adıgüzel, Enes Karadeniz, Rukiye Gizem Öztaş Karlı, Maomao Zhang, Mehmet Emin Tabar, Aşır Yüksel Kaya, Mansur Beştaş, Ali Akgül, Fahad Sameer Alshammari

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Fatih AdıgüzelVocational School of Technical Sciences, Bitlis Eren University, Bitlis, Türkiye.
Enes KaradenizFaculty of Arts and Science, Department of Geography, Inonu University, Malatya, Türkiye.
Rukiye Gizem Öztaş KarlıFaculty of Engineering, Architecture and Design, Bartın University, Bartın, Türkiye.
Maomao ZhangCollege of Public Administration, Huazhong University of Science and Technology, Wuhan, 430079, China.
Mehmet Emin TabarVocational School of Technical Sciences, Bitlis Eren University, Bitlis, Türkiye.
Aşır Yüksel KayaFaculty of Human and Social Sciences, Department of Geography, Firat University, Elazığ, Türkiye.
Mansur BeştaşDepartment of Information Technology, Bitlis Eren University, Bitlis, Türkiye.
Ali AkgülDepartment of Electronics and Communication Engineering, Saveetha School of Engineering, SIMATS, Chennai, Tamilnadu, India. aakgul1@upvnet.upv.es.
Fahad Sameer AlshammariDepartment of Mathematics, College of Science and Humanities in Alkharj, Prince Sattam bin Abdulaiz University, Al-Kharj, 11942, Saudi Arabia. f.alshammari@psau.edu.sa.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, the spatial distribution of heavy metals (Pb, Cd, Cr, Ni, Co, Zn) found in street dust in the city of Adana and their potential effects on human health were examined using a risk assessment approach. Street dust samples were taken from 80 locations chosen to reflect areas with heavy traffic and industrial activity, and these samples were analyzed in the laboratory. The measured heavy metal concentrations were then mapped using the IDW method. Average Daily Dose (ADD), Hazard Quotient (HQ) and Hazard Index (HI) were calculated based on ingestion, inhalation and dermal exposure according to models provided by the US EPA. The results showed that heavy metal concentrations were higher in industrial areas, high traffic areas and densely populated areas than in other areas. Children’s HI values ranged from 0.20 to 1.99, and exceeded 1 in the hotspot areas highlighted on the map, suggesting a potential for long-term non-carcinogenic health effects. For adults, HI values ranged from 0.027 to 0.34 and remained below 1, indicating a lower risk. Additionally, in the ArcGIS Pro environment, a unique “Health Risk Assessment” tool was also created to compute HQ and HI values and map their spatial distribution. This tool addresses a significant gap in the literature by integrating all exposure pathways to conduct risk analyses in a timely, reproducible, and user-friendly manner.

Indexed as

Environmental ExposureEnvironmental MonitoringGeographic Information SystemsMetals, HeavyDustHumansRisk AssessmentDustMetals, HeavyArcGIS ProAutomated assessment toolClimate ActionEnvironmental healthEnvironmental Health InformaticsHazard indexHealth risk assessment

Identifiers

PMID41974801
PMCPMC13234286

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Registered trials

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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.