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

Florian Lecorvaisier Dominique Pontier Frank Sauvage David Fouchet

传染病建模(英文)Issue(2):389-406,18.
传染病建模(英文)Issue(2):389-406,18.DOI:10.1016/j.idm.2025.09.007

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

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

Florian Lecorvaisier 1Dominique Pontier 1Frank Sauvage 1David Fouchet1

作者信息

  • 1. Universite Claude Bernard Lyon 1,LBBE,UMR 5558,CNRS,VAS,Villeurbanne,69622,France
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摘要

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Florian Lecorvaisier,Dominique Pontier,Frank Sauvage,David Fouchet..Comparing frequentist and Bayesian methods to identify drivers of pathogen strain invasion:A temporal case study of pertussis in the United States[J].传染病建模(英文),2026,(2):389-406,18.

基金项目

We thank the Laboratoire d'Excellence(LabEx)ECOFECT'EcoEvolutionary Dynamics of Infectious Diseases'(ANR-11-LABX-0048)of Université de Lyon.We thank the Laboratoire de Biométrie et Biologie Evolutive(LBBE).This work was performed using the computing facilities of the CC LBBE/PRABI.We also thank Nicole Guiso and Benoît Soubeyrand for their help in identifying the environmental variables to include in our analyses. (LabEx)

传染病建模(英文)

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