Evidence map›Paper›PMID 29850867›Full record

ArticleInternational health2018

Groundwater use and diarrhoea in urban Nepal: novel application of a geostatistical interpolation technique linking environmental and epidemiologic survey data.

Sadhana Shrestha, Takashi Nakamura, Jun Magome, Yoko Aihara, Naoki Kondo, Eiji Haramoto, Bikash Malla, Junko Shindo, Kei Nishida

Open access · bronzeAbstract read
In one paragraph

Article in International health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Microbial and Chemical Water Quality Assessments Across the Rural and Urban Areas of Nepal: A Scoping Review.International journal of environmental research and public health · 2025
    Article
  2. 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 at 4 institutions in 1 country.

Sadhana ShresthaInterdisciplinary Centre for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Japan.
Takashi NakamuraInterdisciplinary Centre for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Japan.
Jun MagomeInterdisciplinary Centre for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Japan.
Yoko AiharaKobe Gakuin University, 518 Arise Ikawadani-Cho Nishi-ku, Kobe City, Japan.
Naoki KondoSchool of Public Health, The University of Tokyo, 7-3-1 Hongo Bunkyo, Tokyo, Japan.
Eiji HaramotoInterdisciplinary Centre for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Japan.
Bikash MallaInterdisciplinary Centre for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Japan.
Junko ShindoInterdisciplinary Centre for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Japan.
Kei NishidaInterdisciplinary Centre for River Basin Environment, University of Yamanashi, 4-3-11 Takeda, Kofu, Japan.
Takeda (Japan) · JPUniversity of Yamanashi · JPKobe Gakuin University · JPThe University of Tokyo · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Groundwater is a common domestic water source in developing countries, but is persistently contaminated with enteropathogens. However, studies on determinants of diarrhoea have predominantly focused on piped water. This study examines the relationship between groundwater microbial quality and household diarrhoea occurrence (HDO). Methods: Considering it as a proxy of enteropathogens, this study analysed Escherichia coli concentrations in groundwater wells. Ordinary kriging, a geostatistical technique in geographic information systems, was used to interpolate the E. coli concentration to survey points that had secondary survey data (n=942). The relationship between E. coli and HDO using simple and multivariate statistical analyses in SPSS was analysed. Results: A total of 77% of households used groundwater. One-third of households were without piped-water access (PWA), and these households were significantly more likely to use groundwater than those with PWA. Of the 87 households that reported HDO, 77% were groundwater users. Of the groundwater users, the households with HDO consumed groundwater with significantly higher E. coli concentrations than the households without HDO. Of the households without PWA, the increase in the E. coli concentration increased the odds of HDO (adjusted odds ratio=3.15; 95% CI=1.07-9.22). Conclusion: It is suggested that the groundwater microbial quality is a risk factor for HDO and illustrates this by an application of an interpolation technique relevant for developing countries.

Indexed as

Developing CountriesDiarrheaDrinking WaterEnvironmental MonitoringEscherichia coliGroundwaterHumansNepalPoverty AreasSurveys and QuestionnairesUrban PopulationWater MicrobiologyWater SupplyDrinking Water

Identifiers

PMID29850867
PMCPMC6104707
OpenAlexW2806240518

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.