How New York City Could Reopen Its Economy, Neighborhood by Neighborhood
A geographically targeted approach to reopening could be less costly than blanket alternatives.
How New York City Could Reopen Its Economy, Neighborhood by NeighborhoodData on population movements can be helpful in designing targeted policy responses to curb epidemic spread. We study a spatial epidemic model, which explicitly accounts for population movements, and propose an optimization framework for obtaining targeted policies that restrict economic activity in different neighborhoods of a city at different levels. We focus on COVID-19 and calibrate our model using the mobile phone data that capture individuals’ movements within New York City (NYC). We show that appropriate targeting achieves a reduction in infections in all neighborhoods while resuming 23.1%–42.4% of the baseline non-teleworkable employment in NYC. By contrast, uniform (city-wide) restriction policies that achieve the same policy goal permit 3.92 to 6.25 times less non-teleworkable employment. Our targeting framework gives policy makers an approach for curbing the spread of epidemics while limiting unemployment.
A geographically targeted approach to reopening could be less costly than blanket alternatives.
How New York City Could Reopen Its Economy, Neighborhood by Neighborhood