Evidence map›Paper›PMID 34593856›Full record

ArticleScientific reports2021

Electronic data collection to enhance disease surveillance at the slaughterhouse in a smallholder production system.

Laura C Falzon, Joseph G Ogola, Christian O Odinga, Leonid Naboyshchikov, Eric M Fèvre, John Berezowski

Abstract read
In one paragraph

Article in Scientific reports, 2021. 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
  2. Article
  3. Global prioritization of endemic zoonotic diseases for conducting surveillance in domestic animals to protect public health.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  4. Antimicrobial Resistance in Slaughterhouses, Kenya.Emerging infectious diseases · 2023
    Article
  5. Article
  6. Article
  7. 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

6 authors.

Laura C FalzonInstitute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, UK. laura.falzon@liverpool.ac.uk.
Joseph G OgolaInternational Livestock Research Institute, Nairobi, Kenya.
Christian O OdingaInternational Livestock Research Institute, Nairobi, Kenya.
Leonid NaboyshchikovKestrel Technology Group, Sugar Land, TX, USA.
Eric M FèvreInstitute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, UK. eric.fevre@liverpool.ac.uk.
John BerezowskiVeterinary Public Health Institute, University of Bern, Bern, Switzerland.

Funding

Biotechnology and Biological Sciences Research Council BB/L019019/1
6 · The paper itself

Abstract

Globally, meat inspection provides data for animal health surveillance. However, paper-based recording of data is often not reported through to higher authorities in sufficient detail. We trialled the use of an electronic meat inspection form in Kenyan slaughterhouses, in lieu of the currently used paper-based format. Meat inspectors in two ruminant slaughterhouses completed and submitted an electronic report for each animal slaughtered at their facility. The reports, which captured information on the animal demographics and any eventual condemnations, were stored in a central database and available in real-time. A stakeholder meeting was held towards the end of the study. Over the 2.75 year study period, 16,386 reports were submitted; a downward linear trend in the monthly submissions was noted. There was a week effect, whereby more reports were submitted on the market day. Of the slaughtered animals, 23% had at least a partial condemnation. The most frequently condemned organs were the liver, lungs and intestines; the primary reasons for condemnations were parasitic conditions. Lack of feedback and difficulty capturing animal origin information were the primary challenges highlighted. The study demonstrated that electronic data capture is feasible in such challenging environments, thereby improving the timeliness and resolution of the data collected.

Indexed as

AbattoirsAnimal DiseasesAnimalsCattleData CollectionEpidemiological MonitoringFood InspectionGoatsKenyaSheep

Identifiers

PMID34593856
PMCPMC8484591

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Registered trials

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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.