Bayesian phylogeographic analysis infers cross-border transmission dynamics of drug-resistant <i>Salmonella</i> Enteritidis

Antimicrobial resistance and disease severity in nontyphoidal <i>Salmonella</i> have constituted a serious public health challenge worldwide. Drug-resistant <i>Salmonella</i> Enteritidis is a leading pathogen that causes human infections primarily through the consumption of contaminated food products. Previous research focuses on the whole-genome analysis of antimicrobial resistance and virulence factors in <i>S</i>. Enteritidis; however, details on how this bacterium localized, expanded, and diversified from location to location remain unknown. Our study for the first time addresses this gap by investigating the phylogeographic transmission to estimate the frequency and location of cross-border spread. By evidence-based inferred transmission, we aim to uncover novel insights into the dynamic spread of <i>S</i>. Enteritidis, revealing the route of emergence and migration. This research is crucial for enhancing our understanding of the control strategies to safeguard human health.

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Publication Details

Journal
Microbiology Spectrum
Published
2025-02-07
DOI
https://doi.org/10.1128/spectrum.02292-24
Citations
2
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
2.32

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article

Bayesian phylogeographic analysis infers cross-border transmission dynamics of drug-resistant Salmonella Enteritidis

John Quiroga, Kevin W.H. Kwok, Y. Chen, Pei Yee Woh
2 citations
Microbiology Spectrum
Salmonella and Campylobacter epidemiology
2.32
article

Bayesian phylogeographic analysis infers cross-border transmission dynamics of drug-resistant Salmonella Enteritidis

John Quiroga, Kevin W.H. Kwok, Y. Chen, Pei Yee Woh
article en
2 citations

Abstract

Antimicrobial resistance and disease severity in nontyphoidal <i>Salmonella</i> have constituted a serious public health challenge worldwide. Drug-resistant <i>Salmonella</i> Enteritidis is a leading pathogen that causes human infections primarily through the consumption of contaminated food products. Previous research focuses on the whole-genome analysis of antimicrobial resistance and virulence factors in <i>S</i>. Enteritidis; however, details on how this bacterium localized, expanded, and diversified from location to location remain unknown. Our study for the first time addresses this gap by investigating the phylogeographic transmission to estimate the frequency and location of cross-border spread. By evidence-based inferred transmission, we aim to uncover novel insights into the dynamic spread of <i>S</i>. Enteritidis, revealing the route of emergence and migration. This research is crucial for enhancing our understanding of the control strategies to safeguard human health.

Microbiology SpectrumVol. 13(3)
Hong Kong Polytechnic University (HK), Arizona State University (US)
U.S. Department of State, Arizona State University
Openalex Percentile: Top 15%
Salmonella and Campylobacter epidemiology
2.32
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Bayesian phylogeographic analysis infers cross-border transmission dynamics of drug-resistant <i>Salmonella</i> Enteritidis — John Quiroga, Kevin W.H. Kwok, et al. · Microbiology Spectrum (2025) | TGRS Research Map | TGRS