Commuters alight at Admiralty MTR station on August 19. Tracking human mobility and combining that data with epidemiological evidence can help cities pinpoint areas at risk of super-spreading events without having to shut down the entire city and its economy. Photo: Nora Tam
Commuters alight at Admiralty MTR station on August 19. Tracking human mobility and combining that data with epidemiological evidence can help cities pinpoint areas at risk of super-spreading events without having to shut down the entire city and its economy. Photo: Nora Tam
Sun Sun Lim
Opinion

Opinion

Sun Sun Lim and Roland Bouffanais

How cities can avoid costly lockdowns with smart use of big data

  • Instead of locking down an entire city, officials can shut down or reconfigure specific locations with a high potential to trigger outbreaks by tapping big data
  • As lockdowns can be devastating for businesses, a robust, data-grounded approach can help governments justify tough decisions

Commuters alight at Admiralty MTR station on August 19. Tracking human mobility and combining that data with epidemiological evidence can help cities pinpoint areas at risk of super-spreading events without having to shut down the entire city and its economy. Photo: Nora Tam
Commuters alight at Admiralty MTR station on August 19. Tracking human mobility and combining that data with epidemiological evidence can help cities pinpoint areas at risk of super-spreading events without having to shut down the entire city and its economy. Photo: Nora Tam
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