Evidence map›Paper›PMID 35804230›Full record

ArticleEnvironmental science and pollution research international2022

Synthesis of water, sanitation, and hygiene (WaSH) spatial pattern in rural India: an integrated interpretation of WaSH practices.

Ankita Pran Dadhich, Pran N Dadhich, Rohit Goyal

Abstract read
In one paragraph

Article in Environmental science and pollution research international, 2022. 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
–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

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

  1. Pooled it
  2. Article
  3. Article
  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

3 authors.

Ankita Pran DadhichDepartment of Civil Engineering, Malaviya National Institute of Technology, J.L.N. Marg, Jaipur, 302017, Rajasthan, India. ankitadadhich@mnit.ac.in.ORCID http://orcid.org/0000-0002-2952-2019
Pran N DadhichDepartment of Civil Engineering, Poornima College of Engineering, ISI-6, RIICO Institutional Area, Sitapura, Jaipur, 302022, Rajasthan, India.
Rohit GoyalDepartment of Civil Engineering, Malaviya National Institute of Technology, J.L.N. Marg, Jaipur, 302017, Rajasthan, India.

Funding

Department of Science and Technology DST/WOS-B/2018/1575/ETD/Ankita
6 · The paper itself

Abstract

Rural areas largely lack access to improved drinking water, sanitation, and hygiene (WaSH) facilities in India. This requires documentation of WaSH practices at the local level for better understanding and sustainable development. In this paper, a global positioning system (GPS)-based household survey was carried out in 67 villages of Phagi tehsil using individual questionnaires to evaluate the existing WaSH conditions spatially at the panchayat level. Three sub-indices were used for WaSH risk areas mapping and prediction with the integration of machine learning algorithms. Survey results indicate the improvement in the availability of toilet facilities; however, a gap was found between toilet ownership and its usage by villagers. Data show that only six panchayats have almost zero open defecation practices among the 32 panchayats of Phagi tehsil. The findings highlight that presence of toilets in house, water supply in toilets, and high literacy rate lead to an increase in toilet usage by the population. WaSH index scores indicate that panchayats like Mandawari, Mendwas, Chandma Kalan, and Rotwara have worst conditions and fall in the high-risk category. Moreover, support vector machine regression (SVMR) results reveal that WaSH scores are mainly affected by open defecation (r = 0.94), water supply in toilets (r = 0.92), and female members' participation in sanitation facilities decision-making (r = 0.53), followed by literacy rate (r = 0.33). Findings demonstrate the association between gender inequalities and WaSH conditions, and the potential of the WaSH index as a monitoring tool by local policymakers to shrink the WaSH gaps.

Indexed as

Drinking WaterSanitationCross-Sectional StudiesFemaleHumansHygieneToilet FacilitiesWater SupplyDrinking WaterDefecation practicesGISSpatial assessmentSVMR modelsWaSH indexWater-sanitation-hygiene

Identifiers

PMID35804230
PMCPMC9668241

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.