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bayestransmission (version 0.1.0)

LinearAbxAcquisitionParams: Linear Antibiotic Acquisition Parameters

Description

Acquisition parameters for LinearAbxModel and LinearAbxModel2.

Usage

LinearAbxAcquisitionParams(
  base = Param(0.001),
  time = Param(1, 0),
  mass = Param(1, 1),
  freq = Param(1, 1),
  col_abx = Param(1, 0),
  suss_abx = Param(1, 0),
  suss_ever = Param(1, 0)
)

Value

A list of parameters for acquisition.

Arguments

base

The base rate of acquisition.

time

The time effect on acquisition.

mass

The mass action effect on acquisition.

freq

The frequency effect on acquisition.

col_abx

The effect for colonized on antibiotics.

suss_abx

The effect on susceptible being currently on antibiotics.

suss_ever

The effect on susceptible ever being on antibiotics.

Details

The model for this acquisition model is given by

$$ P(\mathrm{Acq(t)}) = \left[e^{\beta_\mathrm{time}(t-t_0)}\right]\\ \left\{e^{\beta_0} \left[ \left( \frac{\beta_\mathrm{freq}}{P(t)}+(1 - e^{\beta_\mathrm{freq}}) \right) e^{\beta_\mathrm{mass}}\left( (N_c(t) - N_{ca}(t)) + e^{\beta_\mathrm{col\_abx}}N_{ca}(t) \right) + 1 - e^{\beta_\mathrm{mass}} \right] \right\}\\ \left[ N_S(t) - N_E(t) + e^{\beta_\mathrm{suss\_ever}} \left( \left( E_i(t) - A_i(t) \right) + A_i(t)e^{\beta_\mathrm{suss\_abx}} \right) \right] $$ where P(Acq(t)) is the acquisition probability at time t, with effects from time (beta_time), mass action (beta_mass), frequency dependence (beta_freq), colonized individuals on antibiotics (beta_col_abx), and susceptible individuals currently (beta_suss_abx) or ever (beta_suss_ever) on antibiotics.

Examples

Run this code
LinearAbxAcquisitionParams()

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