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| Munck, Nanna; Leekitcharoenphon, Pimlapas; Litrup, Eva; Kaas, Rolf; Meinen, Anika; Guillier, Laurent; Tang, Yue; Malorny, Burkhard; Palma, Federica; Borowiak, Maria; Gourmelon, Michele; Simon, Sandra; Banerji, Sangeeta; Petrovska, Liljana; Dallman, Timothy J.; Hald, Tine. |
| Zoonotic Salmonella causes millions of human salmonellosis infections worldwide each year. Information about the source of the bacteria guides risk managers on control and preventive strategies. Source attribution is the effort to quantify the number of sporadic human cases of a specific illness to specific sources and animal reservoirs. Source attribution methods for Salmonella have so far been based on traditional wet-lab typing methods. With the change to whole genome sequencing there is a need to develop new methods for source attribution based on sequencing data. Four European datasets collected in Denmark (DK), Germany (DE), the United Kingdom (UK) and France (FR) are presented in this descriptor. The datasets contain sequenced samples of Salmonella... |
| Tipo: Text |
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| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00612/72437/71383.pdf |
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