International News

New interactive map shows the risk of contracting coronavirus at events anywhere in the US


Scientists have developed a new interactive map that shows the risk of contracting coronavirus anywhere in the US in real-time.

The COVID-19 Event Risk Assessment Planning Tool tells Americans their odds of encountering at least one person with the virus in every county at an event with a crowd size ranging from 10 people to 5,000 people.

This means you can assess the risk of one coronavirus-positive individual being at a 10-person dinner party, a Thanksgiving gathering with 25 guests, a 100-person wedding or a concert with 1,000 attendees. 

Researchers at the Georgia Institute of Technology says the tool can help individuals understand the potential dangers and help policy makers institute orders, such as mask mandates or occupancy limits, to control the spread of the virus in hard-hit areas.

EVENTS WITH 10 PEOPLE: The COVID-19 Risk Assessment Planning Tool was created by a team at the Georgia Institute of Technology to show users the risk of coronavirus at events in every county. This map shows the risk of interacting with a person infected with COVID-19 at an event with 10 people

EVENTS WITH 25 PEOPLE: Users can pick a crowd size ranging from 10 people to 5,000 people and then hover their cursor over a county to assess their risk. This map shows the risk of interacting with a person infected with COVID-19 at an event with 50 people

EVENTS WITH 100 PEOPLE: Researchers say the tool can be used by individuals thinking of traveling for Thanksgiving or by health officials deciding whether or not institute measures such as occupancy limits. This map shows the risk of interacting with a person infected with COVID-19 at an event with 100 people

‘Large events and gatherings, particularly those taking place indoors, have been linked to multi-transmission events that have accelerated the pandemic spread of [coronavirus],’ the team wrote in the journal Nature

‘To provide real-time, geolocalized risk information, we developed an interactive online dashboard that estimates the risk that at least one individual with SARS-CoV-2 is present in gatherings of different sizes in the United States.’

The idea of the map, which has been peer-reviewed, was first conceived in March by Dr Joshua Weitz, a quantitative biologist at Georgia Tech.

He told the Los Angeles Times he wanted to develop a tool that could quantify the risk of going to various events of different sizes in different regions. 

The first version was a graph that looked at the number of infections per capita in any county and assessed risk by correlating that figure with the size of any prospective event.

The current version is now overlaid on a map to make it user-friendly.

The map is updated everyday when counties update their daily infection and death totals so users can examine their risk in real-time.

‘In a way, it’s like a weather map,’ Dr Clio Andris, a professor of city and regional planning and interactive computing at Georgia Tech, who helped build the tool, told the Times.

‘It can tell you what the risk is that it will rain, but it can’t tell you if you’ll get wet. That depends on if you carry an umbrella, or if you choose not to go outside at all.’  

To use the tool, users move the slider on the bottom left corner of the map to the number of people they expect to attend an event.

Next, they hover their cursor over the county their event will be held in.

Additionally, the map assumes the true number of COVID-19 infections is five or 10 times higher than official counts because not all cases are recorded.   

CALIFORNIA: There are also state-wide projections on the website. This chart of California shows a 1.7% risk of coming into contact with someone with COVID-19 at a 10-person dinner party and a 15.77% chance at a 100-person wedding receptio

NORTH DAKOTA: In North Dakota, experiencing the worst outbreak in the US, there is 17.9% of interacting with coronavirus-positive individual at 10-person dinner and 86.1% risk at a 100-person wedding

So, for example, as of Friday, attending a 10-person dinner party held in Los Angeles County has a nine percent risk of interacting with a coronavirus-infected person 

But how about other events? 

A Thanksgiving gathering with 25 guests in Dallas, Texas, has a 38 percent risk.

Attending a church service with with 50 parishioners in Cook County, Illinois – where Chicago is located – comes with an 85 percent risk.

And going to 100-person wedding in New York City has a 48 percent risk.

There is also a section in which users can analyze the risk of attending gatherings in each state.

In California, for example, the chart shows a 1.7 percent risk of coming into contact with a COVID-19-positive individual at a 10-person dinner party and a 15.77 percent chance at a 100-person wedding reception.

In North Dakota, which is currently experiencing the worst outbreak of any US state, there is a 17.9 percent risk and an 86.1 percent risk, respectively, for the same events. 

Researchers told the Times that the tool went live in July and, since then, two million people have visited the website. 

In fact, Andris told the Times that she used the tool herself to make a decision on whether or not to go to an election-watching party with four friends last week.

The map indicated that there was four percent risk one of the five people at the party would be infected with COVID-19. 

While Andris said she wished the risk was lower, she contemplated that the other four people were – like her -professors who mostly lived alone and so she decided to attend.  

She added that she hopes people use the tool so that can decide if attending an event, especially over the upcoming holiday season, is worth the risk.  

‘I can see a lot of people saying: “It’s been a hard year, and we really need to be with friends and family,”‘ Andris told the newspaper. 

‘I get that, and I hear that, but it’s going to have consequences.’

Women reveal the biggest mistakes that men make in the bedroom

Previous article

Slain couple uncovered by snowplow in California identified as husband and wife

Next article

You may also like


Leave a Reply