serosim: An R package for simulating serological data arising from vaccination, epidemiological and antibody kinetics processes

Arthur Menezes, Saki Takahashi, Isobel Routledge, E. C.Jessica Metcalf, Andrea L. Graham, James A. Hay

Research output: Contribution to journalArticlepeer-review


serosim is an open-source R package designed to aid inference from serological studies, by simulating data arising from user-specified vaccine and antibody kinetics processes using a random effects model. Serological data are used to assess population immunity by directly measuring individuals’ antibody titers. They uncover locations and/or populations which are susceptible and provide evidence of past infection or vaccination to help inform public health measures and surveillance. Both serological data and new analytical techniques used to interpret them are increasingly widespread. This creates a need for tools to simulate serological studies and the processes underlying observed titer values, as this will enable researchers to identify best practices for serological study design, and provide a standardized framework to evaluate the performance of different inference methods. serosim allows users to specify and adjust model inputs representing underlying processes responsible for generating the observed titer values like time-varying patterns of infection and vaccination, population demography, immunity and antibody kinetics, and serological sampling design in order to best represent the population and disease system(s) of interest. This package will be useful for planning sampling design of future serological studies, understanding determinants of observed serological data, and validating the accuracy and power of new statistical methods.

Original languageEnglish (US)
Article numbere1011384
JournalPLoS computational biology
Issue number8 August
StatePublished - Aug 2023

All Science Journal Classification (ASJC) codes

  • Genetics
  • Ecology, Evolution, Behavior and Systematics
  • Cellular and Molecular Neuroscience
  • Molecular Biology
  • Ecology
  • Computational Theory and Mathematics
  • Modeling and Simulation


Dive into the research topics of 'serosim: An R package for simulating serological data arising from vaccination, epidemiological and antibody kinetics processes'. Together they form a unique fingerprint.

Cite this