sysse: sysse

View source: R/herd_se.R

sysseR Documentation

sysse

Description

Calculate the surveillance system sensitivity

Usage

sysse(dp, hse)

Arguments

dp

The vector of EPIH for all herds tested in the surveillance system

hse

The calculated hse for all the herds tested in the surveillance system

Details

Takes a vector of the sensitivity of herds tested in the surveillance system and a vector of the effective probability of infection in the herds (EPIH) to calculate the total surveillance system sensitivity for the entire program.

Value

A vector (length 1)

Examples

df <- data.frame(id = seq(1:20),
                 n_tested = rpois(20, 6),
                 N = rpois(20, 50),
                 test_Se = 0.3,
                 dp = 0.05)
## Calculate the herd level sensitivity for each of these herds. If
## the ratio of the number tested to number of animals in the herd
## exceeds the threshold then the finite method is used, otherwise the
## infinite method is used.
herd_Se <- hse(df$id,
               df$n_tested,
               df$N,
               df$test_Se,
               df$dp,
               threshold = 0.1)
## Calculate the system sensitivity given the testing and sensitivity
## in these herds:
sysse(dp = rep(0.10, nrow(herd_Se)),
      hse = herd_Se$HSe)

SVA-SE/freedom documentation built on Feb. 1, 2023, 5:50 p.m.