Comparing frequentist and Bayesian methods to identify drivers of pathogen strain invasion: A temporal case study of pertussis in the United States.

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Title: Comparing frequentist and Bayesian methods to identify drivers of pathogen strain invasion: A temporal case study of pertussis in the United States.
Authors: Lecorvaisier, Florian1 florian.lecorvaisier@gmail.com, Pontier, Dominique1, Sauvage, Frank1, Fouchet, David1
Source: Infectious Disease Modelling (2468-2152). Jun2026, Vol. 11 Issue 2, p389-406. 18p.
Database: Academic Search Ultimate
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.idm.2025.09.007
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      – Code: eng
        Text: English
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      – TitleFull: Comparing frequentist and Bayesian methods to identify drivers of pathogen strain invasion: A temporal case study of pertussis in the United States.
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            NameFull: Pontier, Dominique
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              Text: Jun2026
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              Y: 2026
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