Source Attribution of Human Campylobacteriosis Using Whole-Genome Sequencing Data and Network Analysis.

ABSTRACT: Campylobacter spp. are a leading and increasing cause of gastrointestinal infections worldwide. Source attribution, which apportions human infection cases to different animal species and food reservoirs, has been instrumental in control- and evidence-based intervention efforts. The rapid increase in whole-genome sequencing data provides an opportunity for higher-resolution source attribution models. Important challenges, including the high dimension and complex structure of WGS data, have inspired concerted research efforts to develop new models. We propose network analysis models as an accurate, high-resolution source attribution approach for the sources of human campylobacteriosis. A weighted network analysis approach was used in this study for source attribution comparing differe

SUBMITTER: Wainaina L 

PROVIDER: S-EPMC9229307 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature