MetaRVM

MetaRVM-package

<img src="figures/logo.png?package=MetaRVM&version=1.0.0" style="float: right" alt="logo" width="120">
Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) tools:::Rd_expr_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.

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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.

Arindam Fadikar

Meta-Population Compartmental Model for Respiratory Virus
Diseases

Charles Macal

Martinez Moyano Ignacio Javier

Ozik Jonathan

MetaRVM-package function

Maintainer: Arindam Fadikar <a href="/link/afadikar%40anl.gov?package=MetaRVM&version=1.0.0" data-mini-rdoc="MetaRVM::afadikar@anl.gov">afadikar@anl.gov</a> (<a href="https://orcid.org/0000-0001-7396-0350">ORCID</a>) [copyright holder]
Other contributors:<ul>
<li>Charles Macal [contributor]</li>
<li>Martinez Moyano Ignacio Javier [contributor]</li>
<li>Ozik Jonathan [contributor]</li>
</ul>

Author

<img src='figures/logo.png' style='float: right' alt='logo' width='120' />
Simulates respiratory virus epidemics using meta-population compartmental models following Fadikar et. al. (2025) tools:::Rd_expr_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.

MetaRVM: Meta-Population Compartmental Model for Respiratory Virus Diseases — MetaRVM-package

Maintainer: Arindam Fadikar <a href='mailto:afadikar@anl.gov'>afadikar@anl.gov</a> (<a href='https://orcid.org/0000-0001-7396-0350'>ORCID</a>) [copyright holder]
Other contributors:<ul>
<li>Charles Macal [contributor]</li>
<li>Martinez Moyano Ignacio Javier [contributor]</li>
<li>Ozik Jonathan [contributor]</li>
</ul>

MetaRVM-package: MetaRVM: Meta-Population Compartmental Model for Respiratory Virus Diseases

Description

Arguments

Author

See Also