param.icm | R Documentation |
Sets the epidemic parameters for stochastic individual contact
models simulated with icm
.
param.icm(
inf.prob,
inter.eff,
inter.start,
act.rate,
rec.rate,
a.rate,
ds.rate,
di.rate,
dr.rate,
inf.prob.g2,
act.rate.g2,
rec.rate.g2,
a.rate.g2,
ds.rate.g2,
di.rate.g2,
dr.rate.g2,
balance,
...
)
inf.prob |
Probability of infection per transmissible act between a susceptible and an infected person. In two-group models, this is the probability of infection for the group 1 members. |
inter.eff |
Efficacy of an intervention which affects the per-act probability of infection. Efficacy is defined as 1 - the relative hazard of infection given exposure to the intervention, compared to no exposure. |
inter.start |
Time step at which the intervention starts, between 1 and
the number of time steps specified in the model. This will default to
1 if |
act.rate |
Average number of transmissible acts per person per unit
time. For two-group models, this is the number of acts per group 1
person per unit time; a balance between the acts in groups 1 and 2 is
necessary, and set using the |
rec.rate |
Average rate of recovery with immunity (in |
a.rate |
Arrival or entry rate. For one-group models, the arrival rate
is the rate of new arrivals per person per unit time. For two-group
models, the arrival rate is parameterized as a rate per group 1
person per unit time, with the |
ds.rate |
Departure or exit rate for susceptible persons. For two-group models, it is the rate for the group 1 susceptible persons only. |
di.rate |
Departure or exit rate for infected persons. For two-group models, it is the rate for the group 1 infected persons only. |
dr.rate |
Departure or exit rate for recovered persons. For two-group
models, it is the rate for the group 1 recovered persons only. This
parameter is only used for |
inf.prob.g2 |
Probability of infection per transmissible act between a susceptible group 2 person and an infected group 1 person. It is the probability of infection to group 2 members. |
act.rate.g2 |
Average number of transmissible acts per group 2 person
per unit time; a balance between the acts in groups 1 and 2 is
necessary, and set using the |
rec.rate.g2 |
Average rate of recovery with immunity (in |
a.rate.g2 |
Arrival or entry rate for group 2. This may either be
specified numerically as the rate of new arrivals per group 2 persons
per unit time, or as |
ds.rate.g2 |
Departure or exit rate for group 2 susceptible persons. |
di.rate.g2 |
Departure or exit rate for group 2 infected persons. |
dr.rate.g2 |
Departure or exit rate for group 2 recovered persons. This
parameter is only used for |
balance |
For two-group models, balance the |
... |
Additional arguments passed to model. |
param.icm
sets the epidemic parameters for the stochastic individual
contact models simulated with the icm
function. Models
may use the base types, for which these parameters are used, or new process
modules which may use these parameters (but not necessarily).
For base models, the model specification will be chosen as a result of
the model parameters entered here and the control settings in
control.icm
. One-group and two-group models are available,
where the former assumes a homogeneous mixing in the population and the
latter assumes some form of heterogeneous mixing between two distinct
partitions in the population (e.g., men and women). Specifying any group two
parameters (those with a .g2
) implies the simulation of a two-group
model. All the parameters for a desired model type must be specified, even if
they are zero.
An EpiModel
object of class param.icm
.
In two-group models, a balance between the number of acts for group 1 members
and those for group 2 members must be maintained. With purely heterogeneous
mixing, the product of one group size and act rate must equal the product of
the other group size and act rate: N_1 \alpha_1 = N_2 \alpha_2
, where
N_i
is the group size and \alpha_i
the group-specific act rate
at time t
. The balance
parameter here specifies which group's
act rate should control the others with respect to balancing.
To build original models outside of the base models, new process modules
may be constructed to replace the existing modules or to supplement the
existing set. These are passed into the control settings in
control.icm
. New modules may use either the existing model
parameters named here, an original set of parameters, or a combination of
both. The ...
allows the user to pass an arbitrary set of original
model parameters into param.icm
. Whereas there are strict checks with
default modules for parameter validity, these checks are the user's
responsibility with new modules.
Use init.icm
to specify the initial conditions and
control.icm
to specify the control settings. Run the
parameterized model with icm
.
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