ArticlePloS one2017
Salmonella serovars and their distribution in Nigerian commercial chicken layer farms.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.
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.
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.
Who cites it
48 citing papers in PubMed.
- Comprehensive Characterization of a Novel Broad-Host-Range LyticAntibiotics (Basel, Switzerland) · 2026Article
- Prevalence of Salmonella species in live bird markets and processing environments in Plateau State, Nigeria.BMC microbiology · 2026Article
- Serovars, Genetic Relatedness and Antimicrobial Resistance of Non-TyphoidalMicroorganisms · 2026Article
- Asymptomatic Carriage and Antimicrobial Resistance ofMicroorganisms · 2026Article
- Phylogenetic Analysis and Public Health Implications ofAnimals : an open access journal from MDPI · 2025Article
- Phenotypic and genotypic characterisation of Salmonella serovars from poultry in ilorin, Kwara state, Nigeria.BMC microbiology · 2025Article
- Development of a novel genome exponential amplification reaction (GEAR) assay for rapid and ultrasensitive detection of Salmonella.World journal of microbiology & biotechnology · 2025Article
- Genomic Diversity and Antibiotic Resistance ofMicroorganisms · 2025Article
- Article
- Low-cost biosecurity measures are associated with reduced detection of non-Typhoidal Salmonella in Nigerian poultry while inappropriate antibiotic use is widespread.Scientific reports · 2024Article
- Antimicrobial Resistance and Phylogenetic Relatedness ofMicroorganisms · 2024Article
- Prevalence, Molecular Detection, and Antimicrobial Resistance ofMicroorganisms · 2024Article
- Ecological prevalence, genetic diversity, and multidrug resistance of Salmonella enteritidis recovered from broiler and layer chicken farms.Poultry science · 2024Article
- Non-typhoidalInternational journal of veterinary science and medicine · 2024Article
- Prevalence ofVeterinary world · 2023Article
- Isolation and characterization of vB_SenS_Ib_psk2 bacteriophage against drug-resistant Salmonella enterica serovar Kentucky.Folia microbiologica · 2023Article
- Whole genome sequencing of Salmonella enterica serovars isolated from humans, animals, and the environment in Lagos, Nigeria.BMC microbiology · 2023Article
- Underestimated economic and social burdens of non-Typhoidal Salmonella infections: The One Health perspective from Nigeria.One health (Amsterdam, Netherlands) · 2023Article
- Prevalence and whole genome phylogenetic analysis reveal genetic relatedness between antibiotic resistance Salmonella in hatchlings and older chickens from farms in Nigeria.Poultry science · 2023Article
- Assessing the mechanisms of multi-drug resistant non-typhoidal Salmonella (NTS) serovars isolated from layer chicken farms in Nigeria.PloS one · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Commercial poultry farms (n° 523), located in all the six regions of Nigeria were sampled with a view to generate baseline information about the distribution of Salmonella serovars in this country. Five different matrices (litter, dust, faeces, feed and water) were collected from each visited farm. Salmonella was isolated from at least one of the five matrices in 228 farms, with a farm prevalence of 43.6% (CI95[39.7-48.3%]). Altogether, 370 of 2615 samples collected (14.1%, CI95[12.8; 15.5%]) contained Salmonella. Considering the number of positive farms and the number of positive samples, it was evident that for the majority of the sampled farms, few samples were positive for Salmonella. With regard to the matrices, there was no difference in Salmonella prevalence among the five matrices considered. Of the 370 isolates serotyped, eighty-two different serotypes were identified and Salmonella Kentucky was identified as having the highest isolation rate in all the matrices sampled (16.2%), followed by S. Poona and S. Elisabethville. S. Kentucky was distributed across the country, whereas the other less frequent serovars had a more circumscribed diffusion. This is one of few comprehensive studies on the occurrence and distribution of Salmonella in commercial chicken layer farms from all the six regions of Nigeria. The relatively high prevalence rate documented in this study may be attributed to the generally poor infrastructure and low biosecurity measures in controlling stray animals, rodents and humans. Data collected could be valuable for instituting effective intervention strategies for Salmonella control in Nigeria and also in other developing countries with a similar poultry industry structure, with the final aim of reducing Salmonella spread in animals and ultimately in humans.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.