# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "measles" in publications use:' type: software license: MIT title: 'measles: Measles Epidemiological Models' version: 0.3.1-0 identifiers: - type: doi value: 10.32614/CRAN.package.measles abstract: A specialized collection of measles epidemiological models built on the 'epiworldR' framework. This package is a spinoff from 'epiworldR' focusing specifically on measles transmission dynamics. It includes models for school settings with quarantine and isolation policies, mixing models with population groups, and risk-based quarantine strategies. The models use Agent-Based Models (ABM) with a fast 'C++' backend from the 'epiworld' library. Ideal for studying measles outbreaks, vaccination strategies, and intervention policies. authors: - family-names: Vega Yon given-names: George email: g.vegayon@gmail.com orcid: https://orcid.org/0000-0002-3171-0844 preferred-citation: type: manual title: 'measles: Measles Epidemiological Models' authors: - family-names: Vega Yon given-names: George orcid: https://orcid.org/0000-0002-3171-0844 email: g.vegayon@gmail.com year: '2025' notes: R package version 0.3.1-0 url: https://github.com/UofUEpiBio/measles repository: https://uofuepibio.r-universe.dev repository-code: https://github.com/UofUEpiBio/measles commit: 8b6d10f20cc07597df10ceb6a58f596ce41817b8 url: https://github.com/UofUEpiBio/measles date-released: '2026-04-24' contact: - family-names: Vega Yon given-names: George email: g.vegayon@gmail.com orcid: https://orcid.org/0000-0002-3171-0844 references: - type: article title: 'epiworldR: Fast Agent-Based Epi Models' authors: - family-names: Meyer given-names: Derek email: derekmeyer37@gmail.com orcid: https://orcid.org/0009-0005-1350-6988 - family-names: Vega Yon given-names: George email: g.vegayon@gmail.com orcid: https://orcid.org/0000-0002-3171-0844 entry: Article journal: The Journal of Open Source Software year: '2023' month: '10' volume: '8' issue: '90' doi: 10.21105/joss.05781 url: https://joss.theoj.org/papers/10.21105/joss.05781