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According to the analysis of cell phone data in 10 U.S. cities, restaurants are by far the places most at risk for coronavirus (Covid-19) cases. Hotels follow restaurants, which are about four times as risky as gyms and cafes.
According to a new coronavirus study, crowded restaurants, gyms, cafes and other indoor venues caused about 8 out of 10 new infections in the early months of the coronavirus outbreak in the United States, according to New York Times news. The study, which used cell phone mobility data from 10 U.S. cities from March to May, also revealed why many low-income neighborhoods were most affected.
10 CITIES IN THE USA LOOK
The research data, published in the journal Nature, came from metropolitan areas of Atlanta, Chicago, Dallas, Houston, Los Angeles, Miami, New York, Philadelphia, San Francisco, and Washington DC.
The new analysis provides more accurate estimates of how much space each type contributed to urban epidemics by monitoring hourly movements and taking into account reductions in mobility caused by curfew restrictions or other changes that occurred in those early months. On the other hand, an infection model was not created in schools or offices.
OPEN RESTAURANTS ARE THE MOST RISKY PLACES
“Restaurants were by far the riskiest places, nearly four times as risky as gyms and cafes, followed by hotels,” Jure Leskovec, a computer scientist at Stanford University and senior author of the new report, said in a lecture.
With coronavirus infections on the rise in recent weeks, public officials across Europe and parts of the United States have initiated partial closures of restaurants and bars or limited internal hours.
INFECTION IS GREATER IN LOW-INCOME REGIONS
The new study suggests these measures are particularly important in low-income regions. Stating that infections erupted in crowded communities last spring, it was noted that local places tend to be busier than other places, according to this new model.
The researchers looked closely at the grocery stores to understand the differences between high- and low-income communities. As a result, the transmission rate is twice as high in eight out of 10 cities as in low-income regions. According to the study, nearly 60% more people in grocery stores in low-income neighborhoods indicate that mobility data points to a cause; It has also been noted that shoppers tend to stay there longer.
On the other hand, local residents spend less time at home. Serina Chang, one of the Stanford writers, said: “We think a big reason for this is because the employees are at work, not working from home.”
LIMITING RESTAURANT FILLING TO ONE FIVE OF CAPACITY REDUCES NEW INFECTIONS BY 80 PERCENTAGE
In the analysis, the research team mapped the hourly mobility of approximately 98 million people to indoor public spaces such as grocery stores, churches, hotels and bars. He calculated the traffic of each location, how long people stayed on average for a day. According to estimates, the behavior of communities changed dramatically from March 1 to May 2 due to their decision to stay home. In Chicago, for example, new infections occurring in only 10 percent of interior spaces accounted for 85 percent of predicted infections. The analysis found that the reopening of only full-service restaurants would result in an additional 600,000 new infections by the end of May.
By focusing on enclosed public spaces, researchers can also model the effect of partial restrictions. For example, limiting a restaurant occupancy to one fifth of capacity preserves about 60% of customers and reduces new infections by 80%.
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