![]() We can fix this issue by using mobility data,” says John Birge of the University of Chicago. Doing so leads to potentially ineffective solutions where individuals who live in high disease prevalence neighborhoods could spread the disease to other locations, e.g., when traveling for work or leisure. “The existing approaches ignored individual mobility and focused only on disease prevalence in a neighborhood. This helps reduce the spread of the virus while limiting economic impacts because smaller areas are placed on lockdown one at a time, rather than an entire city. Data also suggest that doing so is a big improvement over uniform (nontargeted) closure policies. Using cell phone data, the research finds that NYC’s targeted closures can be further refined. Spatial targeting recently employed in New York City tracks population movements and areas in need of lockdowns to reduce the spread of COVID-19. The targeted closure policies have the potential of reaching the same goals as uniform closure policies, in terms of epidemic control, but at substantially lower economic costs (due to unemployment).īALTIMORE, MD, J– New research in the INFORMS journal Management Science identifies a new method of implementing pandemic lockdowns that decreases infection rates while also limiting negative economic impacts. ![]() Using cell phone data to appropriately target lockdown locations reduces virus infections and lowers economic hardships by 23%-42%.INFORMS Journal Management Science New Study Key Takeaways:
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