Data-driven tool for making wise decisions about social distancing
© 2022 Gwen Dewar, all rights reserved
Wish y'all knew the run a risk of contagion at local venues and events? This online tool — created by bioinformatics researchers — can assist.
Yous want to grocery shopping. You'll exist one of approximately 50 shoppers inside the store. What'southward the take chances that at to the lowest degree one of these people will be COVID-19 positive?
Information technology depends on the details, of course. Where is the grocery store? What's the virtually current, local rate of infection? And so y'all need to crunch the numbers.
Information technology's the sort of task I'd like to delegate to the family droid. Except I don't take a family droid.
So I'chiliad happy to have discovered the side by side, best matter — the "COVID-19 Effect Risk Assessment Planning Tool." Information technology helps translate vague perceptions of risk into concrete — and sobering — probabilities.
The tool was created by a group of researchers from the Georgia Institute of Technology, the Applied Bioinformatics Laboratory, and Stanford University. And information technology'southward easy to use.
Navigate to opens in a new windowthis webpage at the Georgia Institute of Technology, and and then locate your county on the map.
And then select the "effect size" you wish to investigate — the number of people in the crowd.
For example, on Nov 20, 2020, I checked the run a risk level in Washtenaw county, Michigan.
Co-ordinate to the tool, there is a 62% hazard that at to the lowest degree one person positive for COVID-19 would be present in a random grouping of 50 people.
The tool provides estimates for counties throughout the United States. Information technology also covers counties and regions in the Britain, French republic, Spain, Italy, Switzerland, Austria, and the Czech Republic.
How are the estimates calculated?
The tool gets official reports of COVID-xix cases for each canton (updated daily). And the tool makes the default assumption that actual rates are 5 times higher than the official reports indicate. The researchers say this supposition is justified past data obtained from antibody testing.
And the purpose of the tool? The researchers want to "…help individuals and policy makers brand prudent decisions (for case, increasing mask-wearing compliance and avoiding larger gatherings) that could aid control the spread of SARS-CoV-2, particularly in hard-hit regions" (Chande et al 2020).
For more data, you tin can read the researchers' peer-reviewed paper for the journal Nature:
Chande A, Lee South, Harris Grand, Nguyen Q, Beckett SJ, Hilley T, Andris C, and Wietz JS. 2020. Real-time, interactive website for Usa-county-level COVID-nineteen upshot gamble assessment.Nat Hum Behav: https://doi.org/ten.1038/s41562-020-01000-nine.
Be safe!
Content last modified 11/twenty/2020
image of shoppers standing in line by Jennifer M. Mason / shutterstock
Source: https://parentingscience.com/tool-for-making-wise-decisions-about-social-distancing/
0 Response to "Data-driven tool for making wise decisions about social distancing"
Postar um comentário