Evidence map›Paper›PMID 38444521›Full record

ArticleInternational journal of food science2024

Hygienic Practices of Vendors and Their Contribution to Coliform,

Hirpo Tusa, Tsegaye Alemayehu, Bereket Wake Subussa, Henok Ayalew, Musa Mohammed Ali

Open access · goldAbstract read
In one paragraph

Article in International journal of food science, 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
2.8field-weighted citation impact, top 11% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Hirpo TusaArsi University College of Health Sciences, Asella, Oromia Regional State, Ethiopia.
Tsegaye AlemayehuHawassa University, College of Medicine and Health Sciences, School of Medical Laboratory Science, Hawassa, Sidama Regional State, Ethiopia.ORCID https://orcid.org/0000-0001-7579-8991
Bereket Wake SubussaArsi University College of Health Sciences, Asella, Oromia Regional State, Ethiopia.
Henok AyalewSt. Paul's Hospital Millennium Medical College, Addis Ababa, Ethiopia.
Musa Mohammed AliHawassa University, College of Medicine and Health Sciences, School of Medical Laboratory Science, Hawassa, Sidama Regional State, Ethiopia.ORCID https://orcid.org/0000-0001-7786-3400
Hawassa University · ETOromiyaa Regional Health Bureau · ETSt. Paul's Hospital Millennium Medical College · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coliform, Methods: In this study, 210 milk vendors were included; each vendor provided a 50 ml sample of raw milk. Bacteria were isolated and identified using standard bacteriological techniques. Data were entered and analyzed using EPI info version 7 and SPSS version 22, respectively. A binary logistic regression model was applied to determine the factors associated with bacterial contamination of raw milk. Results: The total contamination percentage of raw milk was 50 (23.8%) (95% CI: 18.1-29.5%). The predominant bacteria identified were coliform 43 (20.5%) followed by Conclusions: The percentage of bacterial contamination of milk was found to be high. Participants without a habit of washing cow teats, a habit of washing milk utensils with only tap water, and not having separate vending environments were associated factors for bacterial contamination of raw milk. Milk vendors are advised to develop the habit of washing teats before milking, avoid washing teat/milk utensils only with tap water, and have a separate vending environment.

Identifiers

PMID38444521
PMCPMC10914430
OpenAlexW4392187095

What OpenQuestion holds

Textmetadata
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.