Evidence map›Paper›PMID 41169622›Full record

ArticleGeoHealth2025

Mapping Arsenic Risks in the Ayeyarwady (Irrawaddy) Delta, Myanmar: Implications for Public Health.

M A Hoque, K K Khaing, M Fowler, M S Sultana, C C Myint, A Swe, P Dennis, S Shahid, G R Fones

Abstract read
In one paragraph

Article in GeoHealth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

M A HoqueSchool of the Environment and Life Sciences (SELS) University of Portsmouth Portsmouth UK.ORCID https://orcid.org/0000-0002-8271-6760
K K KhaingDepartment of Geography Hinthada University Hinthada Myanmar.
M FowlerSchool of the Environment and Life Sciences (SELS) University of Portsmouth Portsmouth UK.ORCID https://orcid.org/0000-0002-2182-5015
M S SultanaSchool of the Environment and Life Sciences (SELS) University of Portsmouth Portsmouth UK.ORCID https://orcid.org/0000-0001-9618-3523
C C MyintDepartment of Geography Hinthada University Hinthada Myanmar.
A SweDepartment of Geography University of Yangon Yangon Myanmar.
P DennisSchool of Environmental Sciences University of East Anglia Norwich UK.ORCID https://orcid.org/0000-0002-0307-4406
S ShahidDepartment of Water & Environmental Engineering Faculty of Civil Engineering Universiti Teknologi Malaysia (UTM) Johor Bahru Malaysia.
G R FonesSchool of the Environment and Life Sciences (SELS) University of Portsmouth Portsmouth UK.ORCID https://orcid.org/0000-0002-1999-0716

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Ayeyarwady Delta in Myanmar, home to an estimated 12 million people, faces widespread arsenic contamination similar to other Asian deltas namely Bengal, Red River, and Mekong. Arsenic here primarily results from reductive dissolution of iron minerals in anoxic conditions driven by organic carbon. Here, we used digital elevation model (DEM) data to investigate how drainage density and hierarchical recharge pathways influence arsenic distribution, supported by combined data set of 136 wells (81 new, 55 from a prior study)-up to 215 m deep-along a 170 km west-to-east transect across the delta. Findings indicate arsenic hotspots in the mid-central region of the delta, where high drainage density appears to facilitate focused recharge, delivering organic carbon to underlying aquifers. Compared with other deltaic regions across Asia, the Ayeyarwady has fewer high-arsenic wells, with only 21% of our data set exceeding the local 50 μg/l limit. National screening data from 123,962 wells indicate that while only 8% exceed the regulatory limit of 50 μg/l set by Myanmar, 71% exceed the 10 μg/l guideline recommended by the World Health Organization (WHO). This highlights widespread exposure risk not addressed under the current national standard, particularly for rural communities. The observed variability in arsenic concentrations, driven by complex redox dynamics and groundwater flow patterns, indicates that contamination can occur even within short spatial intervals. A blanket-screening program focused on hotspot regions is essential to ensure that at-risk populations are not unknowingly exposed to unsafe drinking water.

Indexed as

arsenic contaminationAyeyarwady deltadrainage densitygroundwater qualityhydrological influencesMyanmar

Identifiers

PMID41169622
PMCPMC12569530

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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.