Salmonella Serotypes: A Novel Measure of Association with Foodborne Transmission
| Autor: | Jennifer Y Huang, Robert M. Hoekstra, Beau B. Bruce, Antonio Vieira, Ulzii Luvsansharav, Sarah D. Bennett, Dana Cole, Jessica M. Healy |
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| Rok vydání: | 2020 |
| Předmět: |
Serotype
0303 health sciences Salmonella Surveillance data 040301 veterinary sciences 030306 microbiology Transmission (medicine) Outbreak Correlation and dependence 04 agricultural and veterinary sciences Biology medicine.disease_cause Applied Microbiology and Biotechnology Microbiology Virology 0403 veterinary science 03 medical and health sciences Enteric disease medicine Animal Science and Zoology Foodborne transmission Food Science |
| Zdroj: | Foodborne Pathogens and Disease. 17:151-155 |
| ISSN: | 1556-7125 1535-3141 |
| Popis: | Most nontyphoidal Salmonella (NTS) illnesses in the United States are thought to be foodborne. However, transmission routes likely vary among the different serotypes. We developed a relative ranking of NTS serotypes according to the strength of their association with foodborne transmission. We used Laboratory-based Enteric Disease Surveillance data to estimate the proportion of infections for each Salmonella serotype reported from 1998 to 2015 and Foodborne Disease Outbreak Surveillance System data to calculate the proportion of foodborne outbreak-associated Salmonella illnesses caused by each serotype. We calculated the ratios of these proportions to create a foodborne relatedness (FBR) measure for each serotype. Of the top 20 serotypes, Saintpaul (2.14), Heidelberg (1.61), and Berta (1.48) had the highest FBR measures; Mississippi (0.01), Bareilly (0.13), and Paratyphi B variant L(+) tartrate(+) (0.20) had the lowest. The FBRs for the three most prevalent serotypes were 1.22 for Enteritidis, 0.77 for Typhimurium, and 1.16 for Newport. This method provides a quantitative approach to estimating the relative differences in the likelihood that an illness caused by a particular serotype was transmitted by food, which may aid in tailoring strategies to prevent Salmonella illnesses and guide future research into serotype-specific source attribution. |
| Databáze: | OpenAIRE |
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