Evidence map›Paper›PMID 37227665›Full record

ArticleAmbio2023

High salinity in drinking water creating pathways towards chronic poverty: A case study of coastal communities in Tanzania.

Mattana Wongsirikajorn, Catherine G McNally, Arthur J Gold, Emi Uchida

Open access · greenAbstract read
In one paragraph

Article in Ambio, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 21% of its field
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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. 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

4 authors at 1 institution in 2 countries.

Mattana WongsirikajornUniversity of Rhode Island, 1 Greenhouse Road, Kingston, RI, 02881, USA.
Catherine G McNallyUniversity of Rhode Island, 1 Greenhouse Road, Kingston, RI, 02881, USA.
Arthur J GoldUniversity of Rhode Island, 001 Coastal Institute, 1 Greenhouse Road, Kingston, RI, 02881, USA.
Emi UchidaUniversity of Rhode Island, 216 Coastal Institute, 1 Greenhouse Road, Kingston, RI, 02881, USA. euchida@uri.edu.ORCID http://orcid.org/0000-0001-6818-2849
University of Rhode Island · US

Funding

National Science Foundation 1518471
6 · The paper itself

Abstract

Seawater intrusion is a growing pressure in coastal communities worldwide, putting millions of people at risk of excess salinity in drinking water. This study examines the impact of saline water on people's health and labor allocation as potential pathways towards chronic poverty. Using a transdisciplinary approach based on a coupled human-water system framework, we test these linkages combining field data on well water salinity levels and rich household survey data in coastal Tanzania. The results suggest that increased salinity levels lead to more time spent collecting drinking water and an increase in illnesses. Moreover, households in poorer villages with weaker public infrastructure have limited access to alternative sources of drinking water, making them more vulnerable to scarce potable water resources stemming from high salinity. To prevent chronic poverty, communities vulnerable to saline drinking water need better adaptation strategies as well as groundwater monitoring and management.

Indexed as

Drinking WaterGroundwaterWater Pollutants, ChemicalEnvironmental MonitoringHumansPovertySalinitySeawaterTanzaniaDrinking WaterWater Pollutants, ChemicalChronic povertyDrinking waterHealthLaborSalinizationSocio-hydrology

Identifiers

PMID37227665
PMCPMC10460759
OpenAlexW4378173287

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.