network_covid_simulate: wrapper function to simulate under four containment scenario,...

In Xilin-Jiang/NetworkCOVID19: Simulating Infectious Disease Transmission in Invidual Networks

wrapper function to simulate under four containment scenario, for multiple repeats.

Description

wrapper function to simulate under four containment scenario, for multiple repeats.

Usage

network_covid_simulate(
  rep_num = 1,
  network_num = 20,
  output = "example",
  para = NA,
  len_sim = 100
)

Arguments

rep_num	numeric number of epidemic to simulate, >100 is recommended
network_num	numeric number of synthetic population to construct, could be less than rep_num to save time an space, the simulation will randomly sample one of the synthetic populations for each epidemic simulation
output	character prefix for saving the network data, you are encouraged to specify one otherwise default "example" will be used, potentially erasing previous analysis.
para	list of parameters. If you want to set up your own parameter, using init_para and modify the output.
len_sim	numeric number of days to simulate for the outbreak, default 100.

Value

list containing simulation results. Six fields are included: new_daily_case, quarantine_daily, Re_daily, RDT_used, PCR_used, death_daily. each output is a list of four matrix, one row represent one simulation of epidemic: use [1] to access the results of baseline scenario without any containment; use [2] to access results of RDT containment; use [3] to access results of PCR containment; use [4] to access results of RDT + PCR containment.

Examples

results <- network_covid_simulate(rep_num = 1, network_num = 1, output = "example", para = NA)

Xilin-Jiang/NetworkCOVID19 documentation built on April 2, 2022, 5:33 p.m.