Computational Model Library

INOvCWD (1.1.1)

INOvCWD is a spatially-explicit, agent-based model designed to simulate the spread of chronic wasting disease (CWD) in Indiana’s white-tailed deer populations.

CWD landscape month 12.png

Release Notes

Updated for NetLogo 6.4.0

Associated Publications

INOvCWD 1.1.1

Submitted by Aniruddha Belsare Published Jul 10, 2024 Last modified Dec 05, 2024

INOvCWD is a spatially-explicit, agent-based model designed to simulate the spread of chronic wasting disease (CWD) in Indiana’s white-tailed deer populations.

Release Notes

Updated for NetLogo 6.4.0

Cite this Model

Aniruddha Belsare (2024, July 10). “INOvCWD” (Version 1.1.1). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/5b8ed3c8-d34e-44c0-b373-84ec43984279/releases/1.1.1/

Replication of a previously described model

Yes.
Aniruddha Belsare (2019, December 13). “MIOvCWD” (Version 1.0.0). CoMSES Computational Model Library. Retrieved from: https://doi.org/10.25937/6qeq-1c13

Create an Open Code Badge that links to this model more info

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You can use the following HTML or Markdown code to create an Open Code Badge that links to version 1.1.1 of this computational model. 

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[![Open Code Badge](https://miracle.comses.net/static/images/icons/open-code-badge.svg)](https://www.comses.net/codebases/5b8ed3c8-d34e-44c0-b373-84ec43984279/releases/1.1.1/)
Contributors
Aniruddha Belsare
DOI

This DOI is for the parent Codebase and always points at the most recent published version of this model. 10.25937/4sxq-6c04

Model Version
1.1.1
License
CC-BY-NC-4.0
Programming Language
Netlogo 6.4.0
Software Framework
Netlogo 6.4.0
Operating System
Windows
Publish Date
Wednesday, July 10, 2024
Last Updated
Wednesday, July 10, 2024
Downloads 64
This release has not been reviewed but a different version has passed peer review.
Version Submitter First published Last modified Status
1.1.1 Aniruddha Belsare Wed Jul 10 00:59:03 2024 Wed Jul 10 00:59:03 2024 Published
1.0.0 Aniruddha Belsare Wed Jun 1 13:19:48 2022 Tue Jun 7 02:49:47 2022 Published Peer Reviewed DOI: 10.25937/wx4k-wv30

Discussion

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