get_epidemic_prob_by_d: Get the epidemic probability as a function of number of...

In sjfox/rtZIKVrisk: Accompanies: "Real-time risk assessment for Zika in the United States"

Description

Get the epidemic probability as a function of number of reported cases

Usage

get_epidemic_prob_by_d(trials, prev_threshold, cum_threshold, max_detect = 50,
  num_necessary = 1)

Arguments

trials	A list with simulated zika outbreaks. Usually utput of run_n_zika_sims
prev_threshold	The maximum autochthonous prevalence necessary to be classifed as an epidemic - depends on individual scenario run values
cum_threshold	The cumulative autochthonous infections necessary to be classified as an epidemic - usually the e_thresh value of the runs
max_detect	The maximum number of detections to go to.
num_necessary	Number of instances of trials to be necessary before it gets a probability. Usually want to be ~1% of total runs

Value

A dataframe of rows max_detect+1 that has column for detected, and column for prob_epidemic given that detected number

Examples

## Not run: 
get_epidemic_prob_by_d(trials, 5, 100, 15, 1)

## End(Not run)

sjfox/rtZIKVrisk documentation built on May 30, 2019, 12:04 a.m.