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Risk-Weighted Surveillance Quotas Model

Deployed

The Risk-Weighted Surveillance Quotas Model incorporates risk factors for CWD, including anthropogenic (human-related) and demographic (host population) forces to calculate surveillance quotas per sub-administrative area. Surveillance targets can be used by agencies to plan upcoming surveillance across a region, state, province, or nation.

Geographical Scale

  • Administrative area, subdivided into a sub-administrative areas

Required Data

  • Deer demography data

Suggested Data

  • Cervid facility data
  • Taxidermist data
  • Meat processor data

User Inputs

  • The number of surveillance points achievable for the entire administrative area
  • Surveillance categories for each sub-administrative area

Outputs

  • Surveillance quotas by sub-administrative area
  • Comparative maps of quotas by surveillance category
  • Risk profiles of each sub-administrative area
  • Charts and comparative tables of quotas and risks

Risk-Weighted Surveillance Quotas Model output map

A map showing mock surveillance quotas produced by the Risk-Weighted Surveillance Quotas Model

Risk Weighted Surveillance Quotas Model output data

Mock risk scoring and sampling quotas produced by the Risk Weighted Surveillance Quotas Model

More Information

For more information, go to the CWD Data Warehouse User Manual: Risk-Weighted Surveillance Quotas Model.

Code

To view the code, go to the GitHub Repository: Risk-Weighted Surveillance Quotas Model.

Citation

  • Schuler KL, Hollingshead NA, Heerkens S, Kelly JD, Hurst J, Abbott RC, Hanley BJ, Collins E, Hynes KP. A “hazard model” using risk-weighted surveillance for first detection of chronic wasting disease. In peer revision.