Evidence map›Paper›PMID 39309974›Full record

ArticleACS environmental Au2024

Assessing the Relative Sustainability of Point-of-Use Water Disinfection Technologies for Off-Grid Communities.

Bright C Elijah, Ali Ahmad, Yalin Li, Jaime Plazas-Tuttle, Lewis S Rowles

Abstract read
In one paragraph

Article in ACS environmental Au, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Bright C ElijahDepartment of Civil Engineering and Construction, Georgia Southern University, Statesboro, Georgia 30458, United States.ORCID https://orcid.org/0000-0002-2035-3589
Ali AhmadDepartment of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Yalin LiDepartment of Civil and Environmental Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.ORCID https://orcid.org/0000-0002-8863-4758
Jaime Plazas-TuttleDepartment of Civil and Environmental Engineering, Universidad de los Andes, Bogotá 111711, Colombia.
Lewis S RowlesDepartment of Civil Engineering and Construction, Georgia Southern University, Statesboro, Georgia 30458, United States.ORCID https://orcid.org/0000-0002-3489-9179

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Point-of-use (POU) water disinfection technologies can be adopted to provide access to safe drinking water by treating water at the household level; however, navigating various POU disinfection technologies can be difficult. While numerous conventional POU devices exist, emerging technologies using novel materials or advanced processes have been under development and claim to be of lower cost with higher treatment capacity. However, it is unclear if these claims are substantiated and how novel technologies compare to conventional ones in terms of cost and environmental impacts when providing the same service (i.e., achieving a necessary level of disinfection for safe drinking water). This research assessed the sustainability of four different POU technologies (chlorination using sodium hypochlorite, a silver-nanoparticle-enabled ceramic water filter, ultraviolet mercury lamps, and ultraviolet light-emitting diodes). Leveraging open-source Python packages (QSDsan and EXPOsan), the cost and environmental impacts of these POU technologies were assessed using techno-economic analysis and life cycle assessment as per capita cost (USD·cap

Identifiers

PMID39309974
PMCPMC11413886

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.