Evidence map›Paper›PMID 35754542›Full record

ArticleFrontiers in veterinary science2022

Assessment of Milk Quality and Food Safety Challenges in the Complex Nairobi Dairy Value Chain.

Stella Kiambi, Eric M Fèvre, Pablo Alarcon, Nduhiu Gitahi, Johnstone Masinde, Erastus Kang'ethe, Gabriel Aboge, Jonathan Rushton, Joshua Orungo Onono

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 4 institutions in 2 countries.

Stella KiambiDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
Eric M FèvreInternational Livestock Research Institute, Nairobi, Kenya.
Pablo AlarconInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Nduhiu GitahiDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
Johnstone MasindeDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
Erastus Kang'etheDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
Gabriel AbogeDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
Jonathan RushtonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom.
Joshua Orungo OnonoDepartment of Public Health, Pharmacology and Toxicology, University of Nairobi, Nairobi, Kenya.
University of Nairobi · KEUniversity of Liverpool · GBInternational Livestock Research Institute · KEKenya Wildlife Service · KE

Funding

Medical Research Council G1100783
6 · The paper itself

Abstract

Food networks present varying food safety concerns because of the complexity of interactions, production, and handling practices. We investigated total bacteria counts (TBCs) and total coliform counts (TCCs) in various nodes of a Nairobi dairy value chain and identified practices that influence food safety. A value chain analysis framework facilitated qualitative data collection through 23 key informant interviews and 20 focus group discussions. Content thematic analysis identified food safety challenges. Cow milk products (

Indexed as

challengesdairy-value-chainfood-safetyNairobi-Kenyatotal-bacteriatotal-coliformurban

Identifiers

PMID35754542
PMCPMC9215719
OpenAlexW4285740838

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.