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AI to help accurate epidemic prevention, control

wuzhenwic.org Updated: 2021-04-06

Program to promote the roles of artificial intelligence (AI) and big data in regular and accurate prevention and control of severe epidemics is now underway in South China's Guangdong Province.

Southern University of Science and Technology, the Shenzhen Center for Disease Control and Prevention and Smartcity Tech are now developing a system consisting of an APP on a mobile terminal and a big data and AI-based epidemic transmission simulation deduction platform.

Song Xuan, a researcher of the program, introduced that the APP can provide a real-time epidemic illness risk by collecting and analyzing data of users' contacts with other people and of the environment in various cities.

According to the data collected by the APP, the deduction platform can provide visual predictions and simulation deductions based on fine grain modeling and an iterative algorithm of epidemic transmission and infected people.

Song said that the core algorithm modeling is completely driven by data and the model calibration and adjustment are done by AI technology.

It's quite a reassuring system as multiple advanced technologies are used to protect users' privacy.

To improve robustness and accuracy of the model, two spatial interaction experiments are included in the program for data collection.

The first experiment was carried out in late January using volunteers from Southern University of Science and Technology, and the second will start soon. Volunteers of the upcoming one will include people in the whole city of Shenzhen.

Song added that the algorithm model verified by the experiment is expected to be used in research of economic, scientific and accurate epidemic control and prevention.


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