About - Version 2 Run model (link)
- An interactive user-friendly simulation tool
- Evaluate impact of combinations of social distancing, contact tracing and testing, and universal testing - for New York.
- Conduct comparative analyses of muliple alternative decision scenarios
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Click on run model link to open in Google Colab - you will have to log in to your google account for the code to work. The simulation model is built in Python, if you run it in Colab, no software installation is needed.
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In Google Colab, click on 'Runtime-->Run all'. Follow instructions given by the model to enter decisons you would like to evaluate
- Model on GitHub
- Methodology
- Sample run Sample user-entered decision- Corresponding results Compares 2 scenarios:
a) Maximum contact reduction (only essential services open)
b) Phasing out social distancing, while combining with increased contact tracing and testing.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Citing instructions Xinmeng Zhao, Hanisha Tatapudi, Sonza Singh, Shifali Bansal, Seyedeh Nazanin Khatami, & Chaitra Gopalappa. (2020). COVID-19 simulation (v2)- An Interactive Tool for Analyses of Phased Reopening Decisions (v2.0). Zenodo. https://doi.org/10.5281/zenodo.3902751 \
CONTACT
For questions, comments, or interests in collaborations please contact the corresponding author.
Corresponding author contact: Dr. Chaitra Gopalappa; email: chaitrag@umass.edu \ Disease Modeling Lab, University of Massachusetts Amherst
Acknowledgments: NSF #1915481