Evidence map›Paper›PMID 40993594›Full record

ArticleBMC veterinary research2025

Analysis of antibiotic use, biosecurity and mortality in semi-intensive broiler farms in Kenya.

Naomi P Kemunto, Dishon M Muloi, Eugine L Ibayi, Jane K Njaramba, Vivian Hoffmann, Mike Murphy, Søren S Nielsen, Arshnee Moodley

Abstract read
In one paragraph

Article in BMC veterinary research, 2025. 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
–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

3 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.

Naomi P Kemunto *Health program, International Livestock Research Institute (ILRI), Old Naivasha Road, near Uthiru, P.O Box 30709, Nairobi, 00100, Kenya.
Dishon M Muloi *Health program, International Livestock Research Institute (ILRI), Old Naivasha Road, near Uthiru, P.O Box 30709, Nairobi, 00100, Kenya.
Eugine L IbayiHealth program, International Livestock Research Institute (ILRI), Old Naivasha Road, near Uthiru, P.O Box 30709, Nairobi, 00100, Kenya.
Jane K NjarambaHealth program, International Livestock Research Institute (ILRI), Old Naivasha Road, near Uthiru, P.O Box 30709, Nairobi, 00100, Kenya.
Vivian HoffmannMarkets, Trade, and Institutions Department, International Food Policy Research Institute, Washington, DC, USA.
Mike MurphyMarkets, Trade, and Institutions Department, International Food Policy Research Institute, Washington, DC, USA.
Søren S NielsenDepartment of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg C, Denmark. saxmose@sund.ku.dk.
Arshnee MoodleyHealth program, International Livestock Research Institute (ILRI), Old Naivasha Road, near Uthiru, P.O Box 30709, Nairobi, 00100, Kenya. a.moodley@cgiar.org.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The indiscriminate use of antibiotics in food-producing animals contributes to antimicrobial resistance (AMR), posing a global threat. Understanding the factors associated with antibiotic use is critical to combat resistance while maintaining animal health. This study examined antibiotic use practices, mortality rates, biosecurity levels, as well as the associations between biosecurity and antibiotic use, and between biosecurity and mortality, in semi-intensive broiler farms in Kenya.The study was conducted in 129 semi-intensive farms with total flock sizes between 200 and 2000 birds across three peri-urban counties in Kenya. Data were collected prospectively over one production cycle, with farms visited biweekly using questionnaires and a drug bin approach. Biosecurity levels were assessed by a panel of experts who weighted scores for various external and internal biosecurity subcategories. Directed acyclic graphs (DAG) described potential relationships between explanatory variables, confounders and outcome. Logistic regression analysis was conducted with antibiotic use as the outcome variable. Explanatory variables with P < 0.25 in the univariable logistic regression were included in the multivariable regression. Similarly, linear regression was conducted using mortality as the outcome.Overall, 72% of farms used antibiotics, primarily for prophylaxis (66%), with erythromycin and oxytetracycline being the most commonly used antibiotics. The median mortality rate across the production cycle was 6%. There was no significant difference in mortality between farms using antibiotics and those not using antibiotics. Biosecurity practices were low, with a median biosecurity score of 14.3/67.9. Univariable screening suggested potential associations between antibiotic use and vaccination of day-old chicks, flock size, cleaning protocol for chicken drinkers, resting period between batches, feed store cleaning, water source, distance from neighbouring farms, and age. However, these were not significant in multivariable logistic regression. Linear regression showed an association between mortality and biosecurity measures, specifically disease management and visitor entry regulation.This study highlights widespread antibiotic use, low biosecurity implementation, and variability in mortality rates in the farms surveyed. There is a gap in farmers' implementation of effective biosecurity measures and understanding of prudent antibiotic use. An urgent need exists to develop comprehensive data collection methodologies, education, and interventions to promote responsible antibiotic stewardship and cost-effective biosecurity practices among poultry farmers in Kenya.

Indexed as

Animal HusbandryAnti-Bacterial AgentsBiosecurityChickensPoultry DiseasesAnimalsFarmsKenyaAnti-Bacterial AgentsAntimicrobialsBiosecurityLivestockLMICsSemi-intensive

Identifiers

PMID40993594
PMCPMC12462040

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LicenceCC BY-NC-ND
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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.