Health
Northwestern University research links the spread of COVID to restaurants and gyms
In Chicago, for example, the model in this study predicted that if a restaurant were reopened at full capacity, it would have about 600,000 new infections, three times more than in other categories. the study, Published on Tuesday Nature also found that about 10% of the sites surveyed accounted for 85% of the predicted infections.
This type of highly detailed data “indicates where the vulnerabilities are,” said Eric Topol of the Scripps Research Translational Institute, who was not involved in the investigation. “Then all you need to do is focus on the glowing area.”
In a consensus article published in Nature, Marc Lipsitch and Kevin Ma of the Harvard School of Public Health write that epidemiological data on how interventions control infection are limited. They said such a model could serve as a starting point for guiding policy decisions regarding resumption.
The model created in the study reported on Tuesday also suggested that a full-scale blockade was not necessary to keep the virus away. Masks, social distances, and diminished abilities can all play a major role in managing things.
Limiting the Chicago metropolitan area location occupancy to 20% reduced the new infections predicted by the study by more than 80%. Also, the restaurant lost only 42% of its total patrons, as the occupancy cap only affects the number of visits that occur during peak hours.
Studies have shown that reducing maximum occupancy may be more effective than more targeted measures to control the virus while providing economic benefits.
Resumption strategy
“We need to think about strategies for resuming the economy,” said Jure Rescobeck, a computer scientist and lead author of the paper at Stanford University. “This allows us to test different restart scenarios and evaluate how they affect the spread of the virus.”
They predicted that one-third of the population could be infected with the virus without virus mitigation measures, he said. Researchers have found that adapting the model to published data on the number of infections per day can more accurately predict epidemic trajectories than other models.
The model also suggests how effective blockade measures are possible in public spaces by focusing on infections and the use of those spaces over time as cities carry out blockades. ..
In Miami, for example, hotel-modeled infectious diseases peaked, and the headlines of the spring break wild beach parties that were prevalent despite the pandemic became a hot topic in the city. However, these forecasts shrank significantly as the blockade was implemented.
Income inequality
The study also predicted disparities in infectious diseases between income groups. We have found that low-income earners are more likely to become infected because they are more likely to visit smaller, more crowded areas and are less likely to reduce overall mobility.
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