MetaRVM: Meta-Population Compartmental Model for Respiratory Virus Diseases

Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) doi:10.1101/2025.05.05.25327021 . 'MetaRVM' implements a stochastic SEIRD (Susceptible-Exposed-Infected-Recovered-Dead) framework with demographic stratification by age, race, and geographic zones. It supports complex epidemiological scenarios including asymptomatic and presymptomatic transmission, hospitalization dynamics, vaccination schedules, and time-varying contact patterns via mixing matrices.

See also

Useful links:

• https://RESUME-Epi.github.io/MetaRVM/

• https://github.com/RESUME-Epi/MetaRVM

• Report bugs at https://github.com/RESUME-Epi/MetaRVM/issues

Author

Maintainer: Arindam Fadikar afadikar@anl.gov (ORCID) [copyright holder]

Other contributors:

• Charles Macal [contributor]

• Martinez Moyano Ignacio Javier [contributor]

• Ozik Jonathan [contributor]