Evidence map›Paper›PMID 38846513›Full record

ArticleSAGE open medicine2024

Quantitative microbial risk assessment for

Samer Abuzerr, Mahdi Hadi, Kate Zinszer, Simin Nasseri, Masud Yunesian, Amir Hossein Mahvi, Ramin Nabizadeh, Shimels Hussien Mohammed

Abstract read
In one paragraph

Article in SAGE open medicine, 2024. 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.

  1. Article
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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

8 authors.

Samer AbuzerrDepartment of Medical Sciences, University College of Science and Technology-Khan Younis, Gaza, Occupied Palestinian Territory.ORCID https://orcid.org/0000-0001-8950-3293
Mahdi HadiCenter for Water Quality Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
Kate ZinszerDepartment of Social and Preventive Medicine, School of Public Health, University of Montreal, Montréal, QC, Canada.
Simin NasseriCenter for Water Quality Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
Masud YunesianCenter for Water Quality Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
Amir Hossein MahviCenter for Water Quality Research, Institute for Environmental Research, Tehran University of Medical Sciences, Tehran, Iran.
Ramin NabizadehDepartment of Environmental Health Engineering, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Shimels Hussien MohammedDepartment of Public Health, School of Public Health, St. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Microbial contamination of drinking water, particularly by pathogens such as Objective: This study aimed to conduct a comprehensive Quantitative Microbial Risk Assessment to estimate the annual infection risk and disease burden attributed to Methods: Applying the typical four steps of the Quantitative Microbial Risk Assessment technique-hazard identification, exposure assessment, dose-response analysis, and risk characterization-the study assessed the microbial risk associated with Results: Analysis of the water samples revealed the presence of Conclusion: These findings emphasize the urgent need for proactive strategies to mitigate public health risks associated with waterborne pathogens in Gaza.

Indexed as

Burden of diseaseE. coli O157: H7Gaza StripQMRAwaterborne diseaseswater safety plan

Identifiers

PMID38846513
PMCPMC11155367

What OpenQuestion holds

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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.