Disease Ecologist. Disease Modeler. Wildlife Veterinarian. Focus on diseases that have conservation and/or public health implications. He/Him.
Jan 30, 2022 β’ 7 tweets β’ 5 min read
ππ·CWD (πΆπ ππππππππ πππππππππππ Chronic Wasting Disease) agent-based modeling framework is now available for ππ§ππ’ππ§π! ππ·CWD models are portable and customizable, Missouri & Michigan versions were published in 2020. (1/7) @coatiwhisperer, Josh Millspaugh, & @anyadoc developed the ππ·CWD framework with the overarching objective of providing a collaborative, decision-making tool to inform the design of rational, locally relevant CWD surveillance & control strategies: ow.ly/cst050HHuJS (2/7)
1) Media reports of domestic elephants and cattle dying of βrabiesβ in Kaziranga. Based on info I was able to gather, the rabies diagnosis is based only on clinical symptoms exhibited by affected animals. @abi_vanak@greenchough@sumitdookia@VetSree@DiegoMontecinoL2) Lab confirmation of rabies should be the first priority. If already done, then the following info would be crucial: Number of animals sampled, tissues used for testing, tests used for rabies diagnosis. WGS should be the next step (different strain of rabies virus?)
Dec 3, 2018 β’ 6 tweets β’ 4 min read
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.