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Letters | Coronavirus outbreak: how Hong Kong can use big data analysis to reduce public panic
- The Hong Kong government’s interactive map detailing new infection cases is a step in the right direction. Next, it could follow Macau’s example and publish mask availability figures
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During the outbreak of the novel coronavirus, information technology can play a major role not only in reducing public panic but also in forecasting trends in the epidemic through big data analysis.
The recent launch of an interactive map titled “Latest Situation of Novel Coronavirus Infection in Hong Kong”, which represents the joint efforts of the government’s various bureaus and departments to integrate data, is most welcome. A prominent feature of the interactive map, whether in the desktop or mobile phone version, is how it reflects the latest information on the advance of the epidemic in Hong Kong in real time.
The launch of the dashboard allows people to grasp the changing situation at a glance and can have a calming effect. Another way to help reduce public panic is to follow the Macau government’s example and publish and continually update mask availability figures at designated pharmacies across the territory.
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It would be even better if we could predict what will happen next.

In fact, machine learning and predictive analysis tools have been applied to understand and monitor other health risks. Unlike in 2003, more use of advanced data analysis and predictive models is being made in fights against outbreaks nowadays.
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