Simulate_contact_control_v0: Simulation of the epidemic control process old version
In holaanna/contactsimulator: Contact model simulator

Description Usage Arguments Details References See Also

Epidemic simulation using the contact type model with the Australian control strategies.

Simulate_contact_control_v0(f_rast, b_rast, farm_pos_cat, vis_int_per_cat,
  param, grid_lines, pop_grid, grid_size = 1000, age_level = c(1, 1),
  age_dist = c(1, 0), m_start = 1, t_b = 720, t_max = 1000,
  t_intervention = 1e+05, t_obs = 3703, EI_model = 1,
  kern_model = 4, rad = 1000, sweep_prop = c(0.5, 0.5),
  back_p = c(0.7, 0.5), rate_det = c(0.3, 1), int_det = c(30, 90,
  180), nb_in_b = 1, nb = 30, leav = c(3, 6))

`f_rast`	Population density of the grid a farm plant resides. This is filled from bottom to top, then left to right.
`b_rast`	Population density of the grid a backyard plant resides. This is filled from bottom to top, then left to right.
`farm_pos_cat`	A data frame of the intial conditon: ro The row at which the cell containing a farm lies in co The column at which the cell containing a farm lies in cat The category that the cell/farm belongs to vis_int Revisit interval tim_lst_pos Time of last positive nb_round Number of round of revisit sweep Decide whether to carry out the sweep over the farm: 0->no and 1->yes
`vis_int_per_cat`	A data frame of the visiting intervale for the alternative strategy: cat The category that the cell/farm belongs to vis_int Revisit interval
`param`	Indicating a data frame containing a vector of parameters including: epsion The primary infection rate. See `func_time_beta` beta_0 Baseline or average transmission rate. See `func_time_beta` beta_1 Amplitude of the seasonality. See `func_time_beta` alpha1,alpha2 The dispersal kernel parameters. mu_lat,var_lat mean and variance of the latent period. See `E_to_I` for details. t0 Time at which the primary source became active . omega Period of the forcing. See `func_time_beta` gama The mean proportion of short range dispersal events. .
`pop_grid`	Population density of the grid a case resides. This is filled from bottom to top, then left to right.
`grid_size`	Grid resolution //@inheritParams circle_line_intersections
`age_level`	Vectors of age level and the propportion of each age group respectively. See details.
`age_dist`	Vectors of age level and the propportion of each age group respectively. See details.
`m_start`	The size of initial cases. Default is 1.
`t_b`	Time representing the end of the baseline programme or the start of the alternative programme
`t_max`	Final observation time.
`t_intervention`	Start of the intervention if any.
`t_obs`	End of the observation time.
`EI_model`	Take integer values to specify the type of model used for the latent period. See `E_to_I`
`kern_model`	Take integer values to specify the type of dispersal kernel used. See `Samp_dis`
`rad`	Sweep radius
`sweep_prop`	A two element vector represention the proportion of plantation to consider for the sweep
`back_p`	A two element vector represention thes Backyard assessment proportion within sweep radius:
`rate_det`	Detection rate. 1st element Detection rate for the grower 2nd element Detection rate for the expert
`int_det`	Three elements vector representing the revisit intervals:
`nb_in_b`	The number of initial plants infected in category B farms
`nb`	The scaling factor of backyards
`leav`	The number of leaves to consider as a measurement for removal: 3 for expert to have a 100 detection