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MetaRVM: Meta-Population Compartmental Model for Respiratory Virus Diseases
Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) <doi:10.1109/WSC68292.2025.11338996>. 'MetaRVM' implements a stochastic SEIRD (Susceptible-Exposed-Infected-Recovered-Dead) framework with demographic stratification by user provided attributes. It supports complex epidemiological scenarios including asymptomatic and presymptomatic transmission, hospitalization dynamics, vaccination schedules, and time-varying contact patterns via mixing matrices.
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Package details |
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| Author | Arindam Fadikar [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-7396-0350>), Charles Macal [ctb], Martinez Moyano Ignacio Javier [ctb], Ozik Jonathan [ctb] |
| Maintainer | Arindam Fadikar <afadikar@anl.gov> |
| License | MIT + file LICENSE |
| Version | 2.2.0 |
| URL | https://RESUME-Epi.github.io/MetaRVM/ https://github.com/RESUME-Epi/MetaRVM |
| Package repository | View on CRAN |
| Installation |
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