Evidence map›Paper›PMID 41815216›Full record

ArticleInternational public health journal

A review on the potential lead pollution in domestic water use in the State of Mississippi.

William Dodoo Sackey, Emmanuel Obeng-Gyasi

Abstract read
In one paragraph

Article in International public health journal. 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

2 authors.

William Dodoo SackeyJackson State University, Department of Public Health, Jackson Medical Mall, Jackson, Mississippi, USA.
Emmanuel Obeng-GyasiDepartment of Built Environment, North Carolina A&T State University, Greensboro, North Carolina, USA.

Funding

The Impact of Combined Exposure to Metals and Per- and Polyfluoroalkyl Substances on Stress, Cardiovascular Disease Risk and MortalityR16GM149473 · NIGMS · NORTH CAROLINA AGRI & TECH ST UNIV · PI Emmanuel Obeng-Gyasi · 2023 to 2026
$650k
NIGMS NIH HHS R16 GM149473
6 · The paper itself

Abstract

Not so long ago, the city of Jackson, Mississippi, was overwhelmed by severe water challenges following the failure of the city's largest water treatment plant. This failure led to acute water shortage, with most of the residents being unable to access clean tap water. Several of the communities that had running tap water had to subject the water to boiling in order to perform domestic tasks such as bathing or cleaning, as the water was generally unsafe and consisted of dirt and soil sediments. The breakdown in the water treatment plant is largely attributed to severe storms, which led to the flooding of the Pearl River, which serves as the source of the Jackson, Mississippi water system. Although the storms and floods were a significant factor, the Jackson water system has long been subjected to a culture of neglect and poor maintenance. The poor maintenance culture poses a significant public health threat, and it causes the old, rusty water pipelines to leach lead over time, and this has severe health implications. This paper presents a literature review on the potential for lead pollution in domestic water use within the southern state of Mississippi, and it highlights the existing legislation from agencies such as the United States Environmental Protection Agency (EPA), which exists to address such problems. This paper further discusses some potential health implications of lead toxicity, such as elevated blood pressure, renal impairments, and even death in very severe cases.

Indexed as

lead poisoningMississippiPublic healthsanitationUnited Stateswater

Identifiers

PMID41815216
PMCPMC12974900

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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.