The goal of comomodels
is to provide pedagogical materials, chiefly a
series of transmission dynamics models of increasing complexity, for
understanding the spread of COVID-19. The
Susceptible-Exposed-Infectious-Recovered-Dead (SEIRD) model is the basis
of all the models included in the package. The SEIRD model is extended
to model different age groups, groups of varying infectiousness,
vaccination, distinct meta-populations amongst other areas. The
schematic figure below shows the various models in the comomodels
package.
The currently available models include:
SEIRD
model. SEIaImIsRD
model - an SEIRD model with groups of varying
infectiousness. Here, we include asymptomatic, mildly symptomatic
and severely ill groups. SEIRDV
model - an SEIRD model including vaccinated compartments.SEIRD_BD
model - an SEIRD model including births and natural
deaths and waning natural immunity.SEIRD_RU
model - two linked SEIRD models used to represent two
meta-populations, which here we label (and parameterise) as rural
and urban populations. SEIRDAge
model - an SEIRD model stratified by age, allowing
intermixing across ages.SEIRDVAge
model - an age-stratified SEIRD model allowing
vaccination of different age groups. SEIRDNPIAge
model - an SEIRD model accounting for
non-pharmaceutical interventions, such as self-isolation.The development version of comomodels
can be installed from
GitHub with:
# install.packages("devtools")
devtools::install_github("Como-DTC-Collaboration/como-models")
There are a series of vignettes, available here, which each provide tutorials for a given model.