Evidence map›Paper›PMID 33320919›Full record

ArticlePloS one2020

Accounting for drinking water quality in measuring multidimensional poverty in Ethiopia.

Alemayehu Azeze Ambel, Harriet Kasidi Mugera, Robert E S Bain

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. 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
0.2field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Alemayehu Azeze AmbelDevelopment Data Group, World Bank, Washington, DC, United States of America.ORCID 0000-0002-0990-4466
Harriet Kasidi MugeraDevelopment Data Group, World Bank, Copenhagen, Denmark.
Robert E S BainDivision of Data, Analysis Planning and Monitoring, United Nations Children's Fund (UNICEF), New York, NY, United States of America.ORCID 0000-0001-6577-2923
United Nations Children's Fund · USWorld Bank Group · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Multidimensional Poverty Index is used increasingly to measure poverty in developing countries. The index is constructed using selected indicators that cover health, education, and living standards dimensions. The accuracy of this tool, however, depends on how each indicator is measured. This study explores the effect of accounting for water quality in multidimensional poverty measurement. Access to drinking water is traditionally measured by water source types. The study uses a more comprehensive measure, access to safely managed drinking water services, which are free from E. coli contamination, available when needed and accessible on premises in line with Sustainable Development Goal target 6.1. The study finds that the new measure increases national multidimensional headcount poverty by 5-13 percentage points, which would mean that 5-13 million more people are multidimensionally poor. It also increases the poverty level in urban areas to a greater extent than in rural areas. The finding is robust to changes in water contamination risk levels and Multidimensional Poverty Index aggregation approaches and weighting structures.

Indexed as

PovertyDrinking WaterEscherichia coliEthiopiaFamily CharacteristicsFemaleHumansMaleRural PopulationSocioeconomic FactorsWater PollutionWater QualityDrinking Water

Identifiers

PMID33320919
PMCPMC7737968
OpenAlexW3111016928

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.