Evidence map›Paper›PMID 26986472›Full record

ArticlePloS one2016

A Global Perspective on Drinking-Water and Sanitation Classification: An Evaluation of Census Content.

Weiyu Yu, Nicola A Wardrop, Robert E S Bain, Yanzhao Lin, Ce Zhang, Jim A Wright

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

6 authors.

Weiyu YuGeography and Environment, University of Southampton, Southampton, Hampshire, United Kingdom.
Nicola A WardropGeography and Environment, University of Southampton, Southampton, Hampshire, United Kingdom.
Robert E S BainUnited Nations Children's Fund, New York City, NY, United States of America.
Yanzhao LinResource Environment and Earth Science, Yunnan University, Kunming City, Yunnan Province, China.
Ce ZhangGeography and Environment, University of Southampton, Southampton, Hampshire, United Kingdom.
Jim A WrightGeography and Environment, University of Southampton, Southampton, Hampshire, United Kingdom.

Funding

Medical Research Council MR/J012343/1
6 · The paper itself

Abstract

Following the recent expiry of the United Nations' 2015 Millennium Development Goals (MDGs), new international development agenda covering 2030 water, sanitation and hygiene (WASH) targets have been proposed, which imply new demands on data sources for monitoring relevant progress. This study evaluates drinking-water and sanitation classification systems from national census questionnaire content, based upon the most recent international policy changes, to examine national population census's ability to capture drinking-water and sanitation availability, safety, accessibility, and sustainability. In total, 247 censuses from 83 low income and lower-middle income countries were assessed using a scoring system, intended to assess harmonised water supply and sanitation classification systems for each census relative to the typology needed to monitor the proposed post-2015 indicators of WASH targets. The results signal a lack of international harmonisation and standardisation in census categorisation systems, especially concerning safety, accessibility, and sustainability of services in current census content. This suggests further refinements and harmonisation of future census content may be necessary to reflect ambitions for post-2015 monitoring.

Indexed as

CensusesDeveloping CountriesDrinking WaterGlobal HealthHealthy People ProgramsHumansSanitationSurveys and QuestionnairesToilet FacilitiesDrinking Water

Identifiers

PMID26986472
PMCPMC4795766

What OpenQuestion holds

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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.