Evidence map›Paper›PMID 34757280›Full record

ArticleInternational journal of hygiene and environmental health2022

A new measure of hygiene inequality applied to urban-rural comparison.

Alejandro Quispe-Coica, Agustí Pérez-Foguet

Abstract read
In one paragraph

Article in International journal of hygiene and environmental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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3 · Its place in the literature

Who cites it

4 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

2 authors.

Alejandro Quispe-CoicaDepartment of Civil and Environmental Engineering (DECA), Engineering Sciences and Global Development (EScGD), Barcelona School of Civil Engineering, Universitat Politècnica de Catalunya BarcelonaTech, Barcelona, Spain. Electronic address: filimon.alejandro.quispe@upc.edu.
Agustí Pérez-FoguetDepartment of Civil and Environmental Engineering (DECA), Engineering Sciences and Global Development (EScGD), Barcelona School of Civil Engineering, Universitat Politècnica de Catalunya BarcelonaTech, Barcelona, Spain. Electronic address: agusti.perez@upc.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Access to hygiene services remains one of the most urgent challenges facing countries, especially low-income ones. This has become much more critical in the current context of the COVID-19 pandemic. The WHO/UNICEF Joint Monitoring Program globally monitors access to hygiene service levels. As data are in three parts with a constant sum and a positive value, they are compositional data. Inequality is monitored in disaggregated data; in the urban-rural case, this is done through a simple difference between the urban and rural service levels. However, this simple form of calculation does not take into account the characteristics of the data, which can lead to erroneous interpretations of the results. Therefore, we propose an alternative measure of inequality that uses a ternary diagram and does not infringe on the data properties. The results of the new urban-rural inequality measure show spatial heterogeneity. The highest inequality occurs in Colombia, with a value of 37.1 percentage points, and the lowest in Turkmenistan, with a value of zero. Our results also show that 73 of the 76 countries evaluated have higher basic hygiene services in urban areas than in rural areas. This means that urban households have more availability of a handwashing facility on-premises with soap and water than rural households. Likewise, by subdividing the ternary diagram into ternary parcels, we could group and rank the countries based on hygiene service conditions in a hierarchical order using tripartite information. Finally, our study finds that a multivariate measure of inequality can be important for the public policies of the sector with a general vision, which underscores the value of making evidence-based decisions.

Indexed as

COVID-19PandemicsHumansHygieneRural PopulationSARS-CoV-2Socioeconomic FactorsCOVID-19Global monitoringHandwashingSustainable development goals (SDGs)Ternary diagram

Identifiers

PMID34757280
PMCPMC9798102

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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.