serojump: a Bayesian tool for inferring infection timing and antibody kinetics from longitudinal serological data

Hodgson, D. orcid.org/0000-0002-5585-8974, Hay, J., Jarju, S. et al. (4 more authors) (2025) serojump: a Bayesian tool for inferring infection timing and antibody kinetics from longitudinal serological data. PLoS Computational Biology, 21 (9). e1013467. ISSN: 1553-734X

Abstract

Metadata

Item Type: Article
Authors/Creators:
Editors:
  • Cauchemez, S.
Copyright, Publisher and Additional Information:

© 2025 Hodgson et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Keywords: Biomedical and Clinical Sciences; Immunology; Immunization; Emerging Infectious Diseases; Vaccine Related; Infectious Diseases; Prevention; 2.1 Biological and endogenous factors; 2.5 Research design and methodologies (aetiology); Inflammatory and immune system; Infection; Good Health and Well Being
Dates:
  • Accepted: 26 August 2025
  • Published (online): 8 September 2025
  • Published: 8 September 2025
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Medicine, Dentistry and Health (Sheffield) > School of Medicine and Population Health
Date Deposited: 29 Sep 2025 13:41
Last Modified: 29 Sep 2025 13:41
Status: Published
Publisher: Public Library of Science (PLoS)
Refereed: Yes
Identification Number: 10.1371/journal.pcbi.1013467
Related URLs:
Sustainable Development Goals:
  • Sustainable Development Goals: Goal 3: Good Health and Well-Being
Open Archives Initiative ID (OAI ID):

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