A Review on Microbiological Source Attribution Methods of Human Salmonellosis: From Subtyping to Whole-Genome Sequencing
Author:
Affiliation:
1. British Columbia Centre for Disease Control, Vancouver, Canada.
2. School of Population and Public Health, The University of British Columbia, Vancouver, Canada.
3. Public Health Agency of Canada, Guelph, Canada.
Publisher
Mary Ann Liebert Inc
Subject
Animal Science and Zoology,Applied Microbiology and Biotechnology,Food Science,Microbiology
Link
https://www.liebertpub.com/doi/pdf/10.1089/fpd.2023.0075
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3. Machine learning to predict the source of campylobacteriosis using whole genome data
4. Which genetic loci have greater population assignment power?
5. Ascertaining the relationship between Salmonella Typhimurium and Salmonella 4,[5],12:i:- by MLVA and inferring the sources of human salmonellosis due to the two serovars in Italy
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