Sets the epidemic parameters for stochastic individual contact models simulated with seiqhrf. All parameters can either be a scalar or a vector of the length of the number of time steps to be simulated.

param_seiqhrf(
  inf.prob.e = 0.02,
  act.rate.e = 10,
  inf.prob.i = 0.05,
  act.rate.i = 10,
  inf.prob.q = 0.02,
  act.rate.q = 2.5,
  prog.rate = 1/10,
  quar.rate = 1/30,
  hosp.rate = 1/100,
  disch.rate = 1/15,
  rec.rate = 0.071,
  arec.rate = 0.05,
  prog.dist.scale = 5,
  prog.dist.shape = 1.5,
  quar.dist.scale = 1,
  quar.dist.shape = 1,
  hosp.dist.scale = 1,
  hosp.dist.shape = 1,
  disch.dist.scale = 1,
  disch.dist.shape = 1,
  rec.dist.scale = 35,
  rec.dist.shape = 1.5,
  arec.dist.scale = 35,
  arec.dist.shape = 1.5,
  fat.rate.base = 1/50,
  hosp.cap = 40,
  fat.rate.overcap = 1/25,
  fat.tcoeff = 0.5,
  vital = TRUE,
  flare.inf.point = NULL,
  flare.inf.num = NULL,
  a.rate = (10.5/365)/1000,
  a.prop.e = 0.01,
  a.prop.i = 0.001,
  a.prop.q = 0.01,
  ds.rate = (7/365)/1000,
  de.rate = (7/365)/1000,
  di.rate = (7/365)/1000,
  dq.rate = (7/365)/1000,
  dh.rate = (20/365)/1000,
  dr.rate = (7/365)/1000
)

Arguments

inf.prob.e

Probability of passing on infection at each exposure event for interactions between infectious people in the E compartment and susceptible in S. Note the default is lower than for inf.prob.i reflecting the reduced infectivity of infected but asymptomatic people (the E compartment). Otherwise as for inf.exp.i.

act.rate.e

The number of exposure events (acts) between infectious individuals in the E compartment and susceptible individuals in the S compartment per day.

inf.prob.i

Probability of passing on infection at each exposure event for interactions between infectious people in the I compartment and susceptible in S. Reducing inf.prob.i is equivalent to increasing hygiene measures, such as not putting hands in eyes, nose or moth, use of hand sanitisers, wearing masks by the infected, and so on.

act.rate.i

The average number of exposure events (acts) between infectious individuals in the I compartment and susceptible individuals in the S compartment per day. Note that not every exposure event results in infection - that is governed by the inf.prob.i parameters (see below). Reducing act.rate.i is equivalent to increasing social distancing by people in the I compartment.

inf.prob.q

Probability of passing on infection at each exposure event for interactions between infectious people in the Q compartment and susceptible in S. Note the default is lower than for inf.prob.i reflecting the greater care that self-isolated individuals will, on average, take regarding hygiene measures, such as wearing masks, to limit spread to others.

act.rate.q

The number of exposure events (acts) between infectious individuals in the Q compartment (isolated, self or otherwise) and susceptible individuals in the S compartment, per day. Note the much lower rate than for the I and E compartments, reflecting the much greater degree of social isolation for someone in (self-)isolation. The exposure event rate is not zero for this group, just much less.

prog.rate

Rate per day at which people who are infected but asymptomatic (E compartment) progress to becoming symptomatic (or test-positive), the I compartment. Only useful if parameter prog.rand == TRUE.

quar.rate

Rate per day at which symptomatic (or tested positive), infected I compartment people enter self-isolation (Q compartment). Asymptomatic E compartment people can't enter self-isolation because they don't yet know they are infected. Default is a low rate reflecting low community awareness or compliance with self-isolation requirements or practices, but this can be tweaked when exploring scenarios.

hosp.rate

Rate per day at which symptomatic (or tested positive), infected I compartment people or self-isolated Q compartment people enter the state of requiring hospital care -- that is, become serious cases. A default rate of 1 duration of about 10 days means a bit less than 10 require hospitalisation. Only useful if parameter quar.rand == TRUE.

disch.rate

Rate per day at which people needing hospitalisation recover, only useful if parameter disch.rand == TRUE.

rec.rate

Rate per day at which people who are infected and symptomatic (I compartment) recover, thus entering the R compartment. Only useful if parameter rec.rand == TRUE.

arec.rate

Rate per day at which people who are exposed but asymptotic (E compartment) recover, thus entering the R compartment. Only useful if parameter arec.rand == TRUE.

prog.dist.scale

Scale parameter for Weibull distribution for progression, only useful if parameter prog.rand == FALSE.

prog.dist.shape

Shape parameter for Weibull distribution for progression, only useful if parameter prog.rand == FALSE.

quar.dist.scale

Scale parameter for Weibull distribution for recovery, only useful if parameter quar.rand == FALSE.

quar.dist.shape

Shape parameter for Weibull distribution for recovery, only useful if parameter quar.rand == FALSE.

hosp.dist.scale

Scale parameter for Weibull distribution for recovery, only useful if parameter hosp.rand == FALSE.

hosp.dist.shape

Shape parameter for Weibull distribution for recovery, only useful if parameter hosp.rand == FALSE.

disch.dist.scale

Scale parameter for Weibull distribution for recovery, only useful if parameter disch.rand == FALSE.

disch.dist.shape

Shape parameter for Weibull distribution for recovery, only useful if parameter disch.rand == FALSE.

rec.dist.scale

Scale parameter for Weibull distribution for recovery, only useful if parameter rec.rand == FALSE.

rec.dist.shape

Shape parameter for Weibull distribution for recovery, only useful if parameter rec.rand == FALSE.

arec.dist.scale

Scale parameter for Weibull distribution for recovery, only useful if parameter arec.rand == FALSE.

arec.dist.shape

Shape parameter for Weibull distribution for recovery, only useful if parameter arec.rand == FALSE.

fat.rate.base

Baseline mortality rate per day for people needing hospitalisation (deaths due to the virus). Only useful if parameter fat.rand == TRUE.

hosp.cap

Number of available hospital beds for the modelled population. See parameter fat.rand for more details.

fat.rate.overcap

Mortality rate per day for people needing hospitalisation but who can't get into hospital due to the hospitals being full (see parameters hosp.cap and fat.rand). The default rate is twice that for those who do get into hospital.

fat.tcoeff

Time co-efficient for increasing mortality rate as time in the H compartment increases for each individual in it. See parameter fat.rand for details.

vital

Enables demographics, that is, arrivals and departures, to and from the simulated population.

flare.inf.point

(Either a vector or a scalar) Time points where there is a sudden arrival of I's.

flare.inf.num

(same dimension as flare.inf.point) The number of I's arriving at the specified time points in flare.inf.point.

a.rate

Background demographic arrival rate. Currently all arrivals go into the S compartment, the default is approximately the daily birth rate for Australia. Will be extended to cover immigration in future versions.

a.prop.e

Arrivals proportion that goes to E (immigration).

a.prop.i

Arrivals proportion that goes to I (immigration).

a.prop.q

Arrivals proportion that goes to Q (immigration).

ds.rate

Background demographic departure (death not due to virus) rates. Defaults based on Australian crude death rates. Can be used to model emigration as well as deaths.

de.rate

Background demographic departure (death not due to virus) rates. Defaults based on Australian crude death rates. Can be used to model emigration as well as deaths.

di.rate

Background demographic departure (death not due to virus) rates. Defaults based on Australian crude death rates. Can be used to model emigration as well as deaths.

dq.rate

Background demographic departure (death not due to virus) rates. Defaults based on Australian crude death rates. Can be used to model emigration as well as deaths.

dh.rate

Background demographic departure (death not due to virus) rates. Defaults based on Australian crude death rates. Can be used to model emigration as well as deaths.

dr.rate

Background demographic departure (death not due to virus) rates. Defaults based on Australian crude death rates. Can be used to model emigration as well as deaths.

Value

A param.seiqhrf object with epidemic parameters for the stochastic individual contact models simulated with the seiqhrf function. The model specification will be chosen as a result of the model parameters entered here and the control settings in control_seiqhrf.

See also

Use init_seiqhrf to specify the initial conditions and control_seiqhrf to specify the control settings. Run the parameterized model with seiqhrf.