Skip to content

Prevalence Estimator Data Export

Deployed

The Prevalence Estimator Data Export is the second of three models used after sampling has occurred and no positive cases are found to estimate the latent prevalence of CWD.

The Prevalence Estimator Data Export allows users to pre-process CWD Data Warehouse sample data for upload and use in the SpeedGoat Estimation Tool. Of particular interest is the upper bound of the credible interval, which means there is, for example, a 95% probability that true prevalence is at or below the reported level given your sampling effort.

Unlike the Simple Undetected Prevalence Estimator, which does not use any auxiliary information for prevalence estimation, or the Probability Disease Freedom Using Clustering Model which considers host clustering in prevalence estimation, the SpeedGoat Estimation Tool uses prior distributions to estimate prevalence. Only certain prior distributions are accommodated, so sample data depicting select species or sources may not be considered.

Geographical Scale

  • Administrative area, subdivided into a sub-administrative areas

Required Data

  • Sample data that includes age, sex, species, and sample source

User Inputs

  • Cervid species
  • Season-year

Outputs

  • A downloadable file of processed sample data for batch upload in the SpeedGoat Estimation Tool

More Information

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

Code and Docker Image

To view the code, go to the GitHub Repository: Prevalence Estimator Data Export. To view the docker image, go to the Docker Hub: cwhl/prevalence-estimator-data-export-v2.

Citations