Evidence map›Paper›PMID 30102697›Full record

ArticlePLoS neglected tropical diseases2018

Campylobacter, a zoonotic pathogen of global importance: Prevalence and risk factors in the fast-evolving chicken meat system of Nairobi, Kenya.

Maud Carron, Yu-Mei Chang, Kelvin Momanyi, James Akoko, John Kiiru, Judy Bettridge, Gemma Chaloner, Jonathan Rushton, Sarah O'Brien, Nicola Williams and 2 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 5% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
  2. Article
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  10. Review
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  12. Campylobacter in Africa - A specific viewpoint.European journal of microbiology & immunology · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Molecular Prevalence and Risk Factors ofVeterinary medicine international · 2023
    Article
  18. Article
  19. Article
  20. Journal of veterinary research · 2022
    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

12 authors at 4 institutions in 2 countries.

Maud CarronRoyal Veterinary College (RVC), Pathobiology and Population Sciences, Hatfield, United Kingdom.ORCID 0000-0001-9554-9386
Yu-Mei ChangRoyal Veterinary College (RVC), Pathobiology and Population Sciences, Hatfield, United Kingdom.
Kelvin MomanyiInternational Livestock Research Institute (ILRI), Animal and Human Health Programme, Nairobi, Kenya.
James AkokoInternational Livestock Research Institute (ILRI), Animal and Human Health Programme, Nairobi, Kenya.
John KiiruCentre for Microbiology Research, Kenya Medical Research Institute (KEMRI), Nairobi, Kenya.
Judy BettridgeInternational Livestock Research Institute (ILRI), Animal and Human Health Programme, Nairobi, Kenya.
Gemma ChalonerInstitute of Infection and Global Health, University of Liverpool, Leahurst Campus, Neston, United Kingdom.
Jonathan RushtonInstitute of Infection and Global Health, University of Liverpool, Leahurst Campus, Neston, United Kingdom.
Sarah O'BrienInstitute of Infection and Global Health, University of Liverpool, Leahurst Campus, Neston, United Kingdom.
Nicola WilliamsInstitute of Infection and Global Health, University of Liverpool, Leahurst Campus, Neston, United Kingdom.
Eric M FèvreInternational Livestock Research Institute (ILRI), Animal and Human Health Programme, Nairobi, Kenya.
Barbara HäslerRoyal Veterinary College (RVC), Pathobiology and Population Sciences, Hatfield, United Kingdom.
University of Liverpool · GBRoyal Veterinary College · GBInternational Livestock Research Institute · KEKenya Medical Research Institute · KE

Funding

Biotechnology and Biological Science Research CouncilMedical Research Council G1100783
6 · The paper itself

Abstract

Campylobacteriosis is a leading foodborne zoonosis worldwide, and is frequently associated with handling and consumption of poultry meat. Various studies indicate that Campylobacter causes a substantial human disease burden in low to middle-income countries, but data regarding the organism's epidemiology in countries like Kenya are scarce. In sub-Saharan Africa, 3.8 million deaths of children under-5 years of age are reported annually. Of those, 25% are caused by diarrheal diseases, and Campylobacter is one of the most frequently isolated bacteria from diarrheic children. With the growth of urban conglomerates, such as Kenya's capital, Nairobi, changes in diets, food production systems, and retailing dynamics, it is likely that exposure and susceptibility to this pathogen will change. Therefore, the importance of Campylobacter disease burden in Kenya may increase further. The objectives of this study were: 1) to determine the prevalence of Campylobacter spp. in Nairobi's small-scale chicken farms and meat retailers, and 2) to identify potential risk factors associated with its presence in those sites. The prevalence data provides the first detailed baseline for this pathogen in the urban Kenyan context. The risk factors provide context-specific insights for disease managers. A cross-sectional study of broiler, indigenous chicken farms, and chicken meat retailers, was conducted in a peri-urban, low to middle-income area (Dagoretti), and a very-low income informal settlement (Kibera) of Nairobi. Chicken faeces were collected using one pair of boot socks per farm, and 3 raw chicken meat samples were purchased per retailer. Samples were cultured for viable Campylobacter spp. using mCCDA, followed by blood agar plates in aerobic/microaerobic conditions for prevalence calculations. A questionnaire-based survey on sanitary, sourcing and selling practices was conducted at each site for risk factor identification using logistic regression analyses. A total of 171 farm premises and 53 retailers were sampled and interviewed. The prevalence results for Campylobacter spp. were between 33 to 44% for broiler and indigenous chicken farms, 60% and 64% for retailers, in Dagoretti and Kibera, respectively. Univariable logistic regression showed an association between Campylobacter spp. presence and the easiness of cleaning the display material used by the retailer. Restricting access to the flock was also associated with the pathogen's presence. Multivariable logistic regression identified the selling of defrosted meat as a retailer risk factor (OR: 4.69; 95% CI: 1.31-19.97), calling for more investigation of the reported repetitive freezing-thawing processes and cold chain improvement options. At the farm-level, having a pen floor of material not easy to clean was found to increase the risk (OR: 2.31; 95%CI: 1.06-5.37). The relatively high prevalence of Campylobacter spp. across different areas and value chain nodes indicates a clear human exposure risk. The open nature of both small-scale broiler and indigenous chicken production practices with low biosecurity, hygiene and informal transactions, likely plays a role in this. While gradual improvement of farm biosecurity is recommended, risk factors identified suggest that consumer education and enforcement of basic food safety principles at the retailer end of the food continuum represent key targets for risk reduction in informal settings.

Indexed as

Food MicrobiologyAnimalsCampylobacterChickensCommerceCross-Sectional StudiesFarmsFecesFood HandlingFood SupplyHumansHygieneKenyaMeatPrevalenceRisk Factors

Identifiers

PMID30102697
PMCPMC6122836
OpenAlexW2885044424

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.