ArticleInternational journal of environmental research and public health2019
Data-Driven Analysis of Antimicrobial Resistance in Foodborne Pathogens from Six States within the US.
Article in International journal of environmental research and public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Insights into antibiotic resistomes from gut metagenome-assembled genomes of the free-range pigs.Microbiology spectrum · 2026Article
- Quantifying national burdens of foodborne disease-Four imperatives for global impact.PLOS global public health · 2025Review
- Metagenome-Assembled Genomes of Pig Fecal Samples in Nine European Countries: Insights into Antibiotic Resistance Genes and Viruses.Microorganisms · 2024Article
- Investigation of the Antimicrobial Resistance of Important Pathogens Isolated from Poultry from 2015 to 2023 in the United States.Pathogens (Basel, Switzerland) · 2024Article
- Article
- A Comprehensive Study of Historical Detection Data for Pathogen Isolates from U.S. Cattle.Antibiotics (Basel, Switzerland) · 2023Article
- Prevalence and Antimicrobial Resistance Profiles of Foodborne Pathogens Isolated from Dairy Cattle and Poultry Manure Amended Farms in Northeastern Ohio, the United States.Antibiotics (Basel, Switzerland) · 2021Article
- Interplay between Phenotypic Resistance to Relevant Antibiotics in Gram-Negative Urinary Pathogens: A Data-Driven Analysis of 10 Years' Worth of Antibiogram Data.Life (Basel, Switzerland) · 2021Article
- Investigation of Incidents and Trends of Antimicrobial Resistance in Foodborne Pathogens in Eight Countries from Historical Sample Data.International journal of environmental research and public health · 2020Article
- Comparison of Antimicrobial Resistance Detected in Environmental and Clinical Isolates from Historical Data for the US.BioMed research international · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Foodborne pathogens cause thousands of illnesses across the US each year. However, these pathogens gain resistance to the antimicrobials that are commonly used to treat them. Typically, antimicrobial resistance is caused by mechanisms encoded by multiple antimicrobial-resistance genes. These are carried through pathogens found in foods such as meats. It is, thus, important to study the genes that are most related to antimicrobial resistance, the pathogens, and the meats carrying antimicrobial-resistance genes. This information can be further used to correlate the antimicrobial-resistance genes found in humans for improving human health. Therefore, we perform the first multivariate statistical analysis of the antimicrobial-resistance gene data provided in the NCBI Pathogen Detection Isolates Browser database, covering six states that are geographically either in close proximity to one another (i.e., Pennsylvania (PA), Maryland (MD), and New York (NY)) or far (i.e., New Mexico (NM), Minnesota (MN), and California (CA)). Hundreds of multidimensional data points were projected onto a two-dimensional space that was specified by the first and second principal components, which were then categorized with a hierarchical clustering approach. It turns out that
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