multigroup.vaccine

2026

epidemiology
Models infectious disease dynamics in populations with multiple subgroups having different vaccination rates, transmission characteristics, and contact patterns.

ActivePackage2026version0.1.1stars2

  1. Toth, D.
  2. Wagoner, J.Scientific Computing and Imaging Institute, University of Utah
  3. Ray, W.
  4. Vega Yon, G. G.University of UtahiD

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Analyze Outbreak Models of Multi-Group Populations with Vaccination

About

Models infectious disease dynamics in populations with multiple subgroups having different vaccination rates, transmission characteristics, and contact patterns. Calculates final and intermediate outbreak sizes, forms age-structured contact models with automatic fetching of U.S. census data, and explores vaccination scenarios with an interactive β€˜shiny’ dashboard for a model with two subgroups, as described in Nguyen et al. (2024) and Duong et al. (2026).

Cite

@Manual{multigroup.vaccine,
  title = {multigroup.vaccine: Analyze Outbreak Models of Multi-Group Populations with Vaccination},
  author = {{Toth}, {Damon} and {Wagoner}, {Jake} and {Ray}, {Willy} and {Vega Yon}, {George G.}},
  year = {2026},
  url = {https://epiforesite.github.io/multigroup-vaccine/},
  note = {R package version 0.1.1},
}

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