ArticleEnvironmental science and pollution research international2020
A preliminary study of heavy metals pollution in the sandy dust storms and its human risk assessment from middle and south of Iraq.
Article in Environmental science and pollution research international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
Who cites it
8 citing papers in PubMed, 41 citations in OpenAlex.
- Ecological risk assessment of metal pollution in the surface sediments of delta region, Egypt.Environmental monitoring and assessment · 2024Article
- Heavy metal pollution levels and health risk assessment of dust storms in Jazmurian region, Iran.Scientific reports · 2023Article
- Sources, toxicity potential, and human health risk assessment of heavy metals-laden soil and dust of urban and suburban areas as affected by industrial and mining activities.Scientific reports · 2022Article
- Evaluation of pollution indices, health hazards and source identification of heavy metal in dust particles and storm trajectory simulation using HYSPLIT model (Case study: Hendijan center dust, southwest of Iran).Environmental monitoring and assessment · 2022Article
- The thermodynamic stability, potential toxicity, and speciation of metals and metalloids in Tehran runoff, Iran.Environmental geochemistry and health · 2021Article
- Environmental impact assessment of cement industries using mathematical matrix method: case of Ghayen cement, South Khorasan, Iran.Environmental science and pollution research international · 2021Article
- Metal(loid) contamination in water, sediment, epilithic periphyton and fish in three interconnected ecosystems and health risk assessment through intake of fish cooked in Indian style.Environmental science and pollution research international · 2020Article
- The Condition of Air Pollution in Kraków, Poland, in 2005-2020, with Health Risk Assessment.International journal of environmental research and public health · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sandy dust storms in Iraq represented a serious problem for human health, not only in Iraq but also extended to be in other countries. Therefore, this study has assessed five heavy metals (Cd, Ni, Zn, Pb, and Fe) in the sandy dust storms from ten locations in the middle and south of Iraq. Contamination levels in the dust were evaluated by using various pollution indices. Heavy metals recorded a high pollution load index (PLI) that considered as baseline pollution in the dust. The geo-accumulation index (Igeo) values were moderately contaminated for Cd, and Pb, in case of potential ecology risk ([Formula: see text]), was a considerable risk for Cd. Based on multivariate analysis which is performed by principal component analysis (PCA), correlation analysis (r
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.