inst/About.md
In appliedbinf/c19r-app: COVID-19 Event Risk Assessment Planning Tool
About
This site provides interactive context to assess the risk that one or more individuals infected with COVID-19 are present in an event of various sizes. The model is simple, intentionally so, and provided some context for the rationale to halt large gatherings in early-mid March and newly relevant context for considering when and how to re-open. Precisely because of under-testing and the risk of exposure and infection, these risk calculations provide further support for the ongoing need for social distancing and protective measures. Such precautions are still needed even in small events, given the large number of circulating cases.
Contributors:
Conceptual Development
- Joshua Weitz (Georgia Institute of Technology, Biological Sciences, GT-BIOS)
Website and Dashboard Development
- Aroon T. Chande (GT-BIOS and Applied Bioinformatics Laboratory)
- Lavanya Rishishwar (GT-BIOS and Applied Bioinformatics Laboratory)
- Walker Gussler
- Mallory Harris (Stanford Biology)
- Stephen Beckett (GT-BIOS)
- Quan Nguyen (GT-BIOS)
- Seohla Lee (Friendly Cities Lab at GT)
- Clio M. Andris (Friendly Cities Lab at GT)
- I. King Jordan (GT-BIOS)
Risk Expansion Development
- Emily Norris (Applied Bioinformatics Laboratory)
- Freyja A. Brandel-Tanis (Friendly Cities Lab at GT)
- Audra Davidson (GT-BIOS)
- Allie Sinclair (Duke University)
- Morgan Taylor (Duke University)
- R. Alison Adcock (Duke University)
- Gregory Samanez-Larkin (Duke University)
Funding
- Ongoing support for the project is via the Centers for Disease Control and Prevention (75D30121P10600)
- Initial funding for the project made possible by support from the Simons Foundation 329108, Army Research Office W911NF1910384, National Institutes of Health 1R01AI46592-01, National Science Foundation 1806606, 1829636 and 2032084).
- Additional support of the project from the Charities in Aid Foundation and The Marier Cunningham Foundation.
Institutional Review Board (IRB)
The Institutional Review Board (IRB) at Georga Tech and Duke
University have reviewed the protocol for collecting user data from
this site via surveys and risk prediction quizzes. Approvals were
granted effective August 27, 2021 and classified as 'Minimal risk
research qualified for exemption status'. For more information please
contact the Office of Research Integrity Assurance, Georgia Institute of Technology, irb.gatech.edu.
Acknowledgements
The team thanks Richard Lenski, Lauren Meyers, and Jonathan Dushoff for input on concept development.
International Collaborations
Italy: http://datainterfaces.org/projects/covid19eventi/
Spain: https://eventosycovid19.es
How to cite
Chande, A., Lee, S., Harris, M. et al. Real-time, interactive website for US-county-level COVID-19 event risk assessment. Nat Hum Behav (2020). https://doi.org/10.1038/s41562-020-01000-9
Chande, A.T., Gussler, W., Harris, M., Lee, S., Rishishwar, L., Hilley, T., Jordan, I.K., Andris, C.M., and Weitz, J.S. 'Interactive COVID-19 Event Risk Assessment Planning Tool', URL http://covid19risk.biosci.gatech.edu/
Weitz, J.S., Harris, M., Chande, A.T., Gussler, J.W., Rishishwar, L. and Jordan, I.K. (2020) Online COVID-19 Dashboard Calculates How Risky Reopenings and Gatherings Can Be. Sci Am. https://blogs.scientificamerican.com/observations/online-covid-19-dashboard-calculates-how-risky-reopenings-and-gatherings-can-be/
Code and model:
https://github.com/jsweitz/covid-19-event-risk-planner
https://github.com/appliedbinf/covid19-event-risk-planner
https://figshare.com/articles/COVID-19_Event_Risk_Assessment_Planner/11965533
March 10, Tweet Thread:
https://twitter.com/joshuasweitz/status/1237556232304508928?s=20
Op-Ed (w/Richard Lenski, Lauren A. Meyers, and Jonathan Dushoff):
appliedbinf/c19r-app documentation built on April 27, 2023, 11:54 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
About
This site provides interactive context to assess the risk that one or more individuals infected with COVID-19 are present in an event of various sizes. The model is simple, intentionally so, and provided some context for the rationale to halt large gatherings in early-mid March and newly relevant context for considering when and how to re-open. Precisely because of under-testing and the risk of exposure and infection, these risk calculations provide further support for the ongoing need for social distancing and protective measures. Such precautions are still needed even in small events, given the large number of circulating cases.
Contributors:
Conceptual Development
- Joshua Weitz (Georgia Institute of Technology, Biological Sciences, GT-BIOS)
Website and Dashboard Development
- Aroon T. Chande (GT-BIOS and Applied Bioinformatics Laboratory)
- Lavanya Rishishwar (GT-BIOS and Applied Bioinformatics Laboratory)
- Walker Gussler
- Mallory Harris (Stanford Biology)
- Stephen Beckett (GT-BIOS)
- Quan Nguyen (GT-BIOS)
- Seohla Lee (Friendly Cities Lab at GT)
- Clio M. Andris (Friendly Cities Lab at GT)
- I. King Jordan (GT-BIOS)
Risk Expansion Development
- Emily Norris (Applied Bioinformatics Laboratory)
- Freyja A. Brandel-Tanis (Friendly Cities Lab at GT)
- Audra Davidson (GT-BIOS)
- Allie Sinclair (Duke University)
- Morgan Taylor (Duke University)
- R. Alison Adcock (Duke University)
- Gregory Samanez-Larkin (Duke University)
Funding
- Ongoing support for the project is via the Centers for Disease Control and Prevention (75D30121P10600)
- Initial funding for the project made possible by support from the Simons Foundation 329108, Army Research Office W911NF1910384, National Institutes of Health 1R01AI46592-01, National Science Foundation 1806606, 1829636 and 2032084).
- Additional support of the project from the Charities in Aid Foundation and The Marier Cunningham Foundation.
Institutional Review Board (IRB)
The Institutional Review Board (IRB) at Georga Tech and Duke University have reviewed the protocol for collecting user data from this site via surveys and risk prediction quizzes. Approvals were granted effective August 27, 2021 and classified as 'Minimal risk research qualified for exemption status'. For more information please contact the Office of Research Integrity Assurance, Georgia Institute of Technology, irb.gatech.edu.
Acknowledgements
The team thanks Richard Lenski, Lauren Meyers, and Jonathan Dushoff for input on concept development.
International Collaborations
Italy: http://datainterfaces.org/projects/covid19eventi/ Spain: https://eventosycovid19.es
How to cite
Chande, A., Lee, S., Harris, M. et al. Real-time, interactive website for US-county-level COVID-19 event risk assessment. Nat Hum Behav (2020). https://doi.org/10.1038/s41562-020-01000-9
Chande, A.T., Gussler, W., Harris, M., Lee, S., Rishishwar, L., Hilley, T., Jordan, I.K., Andris, C.M., and Weitz, J.S. 'Interactive COVID-19 Event Risk Assessment Planning Tool', URL http://covid19risk.biosci.gatech.edu/
Weitz, J.S., Harris, M., Chande, A.T., Gussler, J.W., Rishishwar, L. and Jordan, I.K. (2020) Online COVID-19 Dashboard Calculates How Risky Reopenings and Gatherings Can Be. Sci Am. https://blogs.scientificamerican.com/observations/online-covid-19-dashboard-calculates-how-risky-reopenings-and-gatherings-can-be/
Code and model:
https://github.com/jsweitz/covid-19-event-risk-planner https://github.com/appliedbinf/covid19-event-risk-planner https://figshare.com/articles/COVID-19_Event_Risk_Assessment_Planner/11965533
March 10, Tweet Thread:
https://twitter.com/joshuasweitz/status/1237556232304508928?s=20
Op-Ed (w/Richard Lenski, Lauren A. Meyers, and Jonathan Dushoff):
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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