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Unrealistic assumptions (baseline scenario: random disease distribution, random sampling) overestimate the detection probability (~ confidence in detecting #CWD). Agent-based framework for wildlife disease surveillance Belsare et. al ow.ly/6U7M30mQFTc #bioRxiv #gganimate
The model was simulated for Franklin County Missouri deer population. Alternate scenario simulates clustering of cases and non-random sampling. Very low prevalence thresholds reflect recent CWD introduction. User-friendly-sliders to set age-sex class specific harvest and testing. 
Can be used to calculate region-specific sample sizes for efficient and sustainable CWD surveillance. Also facilitates inferring negative surveillance outcomes. #AdaptiveManagementApproach
