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Simple Undetected Prevalence Estimator

In development

Simple Undetected Prevalence Estimator is the first of three models used after sampling has occurred and no positive cases are found to estimate the latent prevalence of CWD.

Unlike the Prevalence Estimator Data Export, which considers surveillance weights in prevalence estimation, or the Probability Disease Freedom Using Clustering Model which considers host clustering in prevalence estimation, the Simple Undetected Prevalence Estimator does not require prior knowledge about surveillance weights or host population structure. Rather, the Simple Undetected Prevalence Estimator simply estimates prevalence given the sheer number of negatives recorded.

Geographical Scale

  • Administrative area, subdivided into a sub-administrative areas

Required Data

  • Sample data

User Inputs

  • Cervid species
  • Season-year

Outputs

  • An estimate of the underlying prevalence based on a single year of sampling intensity

More Information

For more information, go to the CWD Data Warehouse User Manual: Simple Undetected Prevalence Estimator.

Code

To view the code once deployed, go to the GitHub Repository: Simple Undetected Prevalence Estimator.