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Bayesian network models to assess antimicrobial resistance patterns of Streptococcus suis isolated from swine production systems in the United States between 2014–2021.

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Title: Bayesian network models to assess antimicrobial resistance patterns of Streptococcus suis isolated from swine production systems in the United States between 2014–2021.
Authors: Rupasinghe, Ruwini1 (AUTHOR), Morgan Bustamante, Brittany L.1,2 (AUTHOR), Robbins, Rebecca C.3 (AUTHOR), Clavijo, Maria J.4 (AUTHOR), Martínez-López, Beatriz1 (AUTHOR) beamartinezlopez@ucdavis.edu
Source: PLoS Computational Biology. 3/26/2026, Vol. 22 Issue 3, p1-17. 17p.
Database: Academic Search Ultimate
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  Data: Bayesian network models to assess antimicrobial resistance patterns of Streptococcus suis isolated from swine production systems in the United States between 2014–2021.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 3/26/2026, Vol. 22 Issue 3, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=192559726
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        Value: 10.1371/journal.pcbi.1014117
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              Text: 3/26/2026
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