CapOvCWD is an agent-based model that simulates a captive cervid herd composed of adults and fawns. The model deer population is initialized using data on herd size and composition from captive facility records. Individual deer domiciliary history and annual CWD testing records inform the herd size and sample size (for CWD testing), respectively. The model can be used to iteratively estimate the facility level annual CWD detection probability. Detection probability estimates can be further refined by incorporating multiyear CWD testing data. This approach can be particularly useful for interpreting negative test results from a subset of the captive herd. Facility level detection probability estimates provide a comprehensive and standardized risk metric that reflects the likelihood of undetected CWD in the facility.

The Archaeological Sampling Experimental Laboratory (tASEL) is an interactive tool for setting up and conducting experiments about sampling strategies for archaeological excavation, survey, and prospection.

MIOvPOPsurveillance is set up to simulate harvest-based chronic wasting disease (CWD) surveillance of white-tailed deer (Odocoileus virginianus) populations in select Michigan Counties. New regions can be readily added, also the model can be readily adapted for other disease systems and used for informed-decision making during planning and implementation stages of disease surveillance in wildlife and free-ranging species.

MOOvPOP is designed to simulate population dynamics (abundance, sex-age composition and distribution in the landscape) of white-tailed deer (Odocoileus virginianus) for a selected sampling region.

MOOvPOPsurveillance was developed as a tool for wildlife agencies to guide collection and analysis of disease surveillance data that relies on non-probabilistic methods like harvest-based sampling.