Planning to celebrate in a group? Tool can help you calculate COVID-19 risk

If you are planning to be around a group of people, there is a tool that can help you determine the risk of coming into contact with someone with COVID-19.The tool was created by the Georgia Institute of Technology and shows you, based on where you are and how many people are there, what the odds are you will be in contact with someone with COVID-19. CLICK HERE TO SEE THE MAP AND CALCULATE THE RISK The tool is called the COVID-19 Event Risk Assessment Planning Tool. It shows the risk level of attending an event, given the event size and location.”The risk level is the estimated chance (0-100%) that at least 1 COVID-19 positive individual will be present at an event in a county, given the size of the event,” the webpage says. “Based on seroprevalence data and increases in testing, by default we assume there are five times more cases than are being reported (5:1 ascertainment bias). In places with less testing availability, that bias may be higher. We are evaluating the inclusion of lower ascertainment biases based on increased testing.”For example, there is a 37% chance that at least one person attending a 10-person gathering in Greenville will have COVID-19.

GREENVILLE, S.C. —

If you are planning to be around a group of people, there is a tool that can help you determine the risk of coming into contact with someone with COVID-19.

The tool was created by the Georgia Institute of Technology and shows you, based on where you are and how many people are there, what the odds are you will be in contact with someone with COVID-19.

CLICK HERE TO SEE THE MAP AND CALCULATE THE RISK

The tool is called the COVID-19 Event Risk Assessment Planning Tool. It shows the risk level of attending an event, given the event size and location.

“The risk level is the estimated chance (0-100%) that at least 1 COVID-19 positive individual will be present at an event in a county, given the size of the event,” the webpage says. “Based on seroprevalence data and increases in testing, by default we assume there are five times more cases than are being reported (5:1 ascertainment bias). In places with less testing availability, that bias may be higher. We are evaluating the inclusion of lower ascertainment biases based on increased testing.”

For example, there is a 37% chance that at least one person attending a 10-person gathering in Greenville will have COVID-19.