Big data helps epidemic prevention and control (disappointing with true feelings)

The Malaysian Ministry of Health has developed an early warning system named "Dynamic Participation Hotspot Identification System" to help epidemic prevention and control.

The system is calculated by means of data information such as population density, spatial limit and air circulation. It is predicted which places may become a "hot spot" and release reminders to the people to assist the Government more precise to curb the epidemic. Malaysia Science, Process and Innovation Minister Jia Mi Le Ding said that the early warning system uses large data and artificial intelligence to track close contact, and the risk of viral communication is calculated from specific locations, so that relevant institutions take targeted precautions, including through an anti-prevention mobile phone application software Send notifications, strictly control the traffic flow of related places, prevent high-risk groups from visits. With this early warning system, the Malaysian government has released 151 potential infections of "hotspots", 66 of which are listed in Kuala Lumpur and many large shopping malls.

These venues are announced to close 3 days. Jia Milein said that the early warning system is a pre-targeted intervention tool for the Ministry of Health and the central government, and the Ministry of Health will predict the highly propagated risk of high risk within 7 days. The government hopes that the potential infection "hotspot" in time is to take active interventions to reduce the risk of population infection; while contributing to the public to release travel reminders to help people plan the trip to reduce infection.

(This newspaper Bangkok on May 24th).

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