Computational Model Library

MIOvCWD (1.0.0)

MIOvCWD is a spatially-explicit, agent-based model designed to simulate the spread of chronic wasting disease (CWD) in Michigan’s white-tailed deer populations. CWD is an emerging prion disease of North American cervids (white-tailed deer Odocoileus virginianus, mule deer Odocoileus hemionus, and elk Cervus elaphus) that is being actively managed by wildlife agencies in most states and provinces in North America, including Michigan. MIOvCWD incorporates features like deer population structure, social organization and behavior that are particularly useful to simulate CWD dynamics in regional deer populations.

MIOvCWD_v2.2.1 interface.png

Release Notes

Version 2.2.1
Requires a .csv file that provides the dynamic contact structure for the white-tailed deer population. This file can be modified by the user.

Associated Publications

Belsare, A. V. and Stewart, C. M. OvCWD: An agent-based modeling framework for informing chronic wasting disease management in white-tailed deer populations. EcolSolutEvidence. 2020; e12017. https://doi.org/10.1002/2688-8319.12017

MIOvCWD 1.0.0

MIOvCWD is a spatially-explicit, agent-based model designed to simulate the spread of chronic wasting disease (CWD) in Michigan’s white-tailed deer populations. CWD is an emerging prion disease of North American cervids (white-tailed deer Odocoileus virginianus, mule deer Odocoileus hemionus, and elk Cervus elaphus) that is being actively managed by wildlife agencies in most states and provinces in North America, including Michigan. MIOvCWD incorporates features like deer population structure, social organization and behavior that are particularly useful to simulate CWD dynamics in regional deer populations.

Release Notes

Version 2.2.1
Requires a .csv file that provides the dynamic contact structure for the white-tailed deer population. This file can be modified by the user.

Version Submitter First published Last modified Status
1.0.0 Aniruddha Belsare Fri Dec 13 20:24:03 2019 Wed Jan 15 04:40:06 2020 Published Peer Reviewed DOI: 10.25937/6qeq-1c13

Discussion

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