RSero: A user-friendly R package to reconstruct pathogen circulation history from seroprevalence studies

• Nathanaël Hozé ,

  Roles Formal analysis, Investigation, Software, Writing – original draft, Writing – review & editing

  * E-mail: nathanael.hoze@inserm.fr

  Affiliations Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, U1332 INSERM, UMR2000 CNRS, Paris, France, Université Paris Cité, INSERM, IAME, F-75018, Paris, France, Institut Pasteur, Epidemiology and Modelling of Antimicrobials Evasion research Unit, Paris, France, Université Paris-Saclay, UVSQ, Inserm, CESP, Anti-infective Evasion and Pharmacoepidemiology Research Team, Montigny-Le-Bretonneux, France

  https://orcid.org/0000-0002-3977-8966

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• Margarita Pons-Salort,

  Roles Methodology, Writing – review & editing

  Affiliation MRC Centre for Global Infectious Disease Analysis, School of Public Health, Imperial College London, London, United Kingdom

  https://orcid.org/0000-0001-5597-9285

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• C. Jessica E. Metcalf,

  Roles Conceptualization, Writing – review & editing

  Affiliation Department of Ecology and Evolutionary Biology, Princeton University, Princeton, New Jersey, United States of America

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• Michael White,

  Roles Writing – review & editing

  Affiliation Department of Global Health, Infectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris, France

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• Henrik Salje,

  Roles Conceptualization, Methodology, Writing – original draft

  Affiliation Department of Genetics, University of Cambridge, Cambridge, United Kingdom

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• Simon Cauchemez

  Roles Conceptualization, Funding acquisition, Methodology, Supervision, Validation, Writing – original draft

  Affiliation Mathematical Modelling of Infectious Diseases Unit, Institut Pasteur, Université Paris Cité, U1332 INSERM, UMR2000 CNRS, Paris, France

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