(Interview between the two sessions) Preventing the epidemic from coming back Academician Cheng Jing proposed to create a smart epidemic monitoring system

  China News Service, Beijing, May 21 Question: Preventing the epidemic from making a comeback Academician Cheng Jing proposed to create a smart epidemic monitoring system

  China News Agency reporter Wang Enbo

  The new coronary pneumonia epidemic has not dissipated. How to create an early warning system for preventing the next major outbreak has become a representative of the National People's Congress, an academician of the Chinese Academy of Engineering, a chair professor of the Department of Biomedical Engineering of Tsinghua University School of Medicine, and National Engineering Research of Biochip Center Director Cheng Jing's thinking.

  In recent years, animal-derived infectious diseases have been on an upward trend globally, which is highlighted by the continuous occurrence of new infectious diseases related to animals. The frequency of epidemics or outbreaks has greatly increased, seriously threatening human health. Highly pathogenic avian influenza (HPAI), severe acute respiratory syndrome (SARS), Middle East respiratory syndrome (MERS), new coronavirus pneumonia and other new infectious diseases of zoonotic diseases have appeared one after another in the world.

  Cheng Jing, who had been involved in the fight against SARS as early as 17 years ago, is now at the forefront of fighting the new coronary pneumonia epidemic.

  He led the teams of Tsinghua University and Beijing National Engineering Research Center of Biochip (Jibo Bio Group Co., Ltd.), and the West China Hospital of Sichuan University in a week to successfully develop the world ’s first 1.5-hour test that can detect new coronaviruses. "Six Respiratory Virus Nucleic Acid Test Kits" to help achieve accurate diagnosis and precise treatment. After the kit was approved, it donated more than 5 million yuan worth of chips and testing reagents to Wuhan overnight for clinical diagnosis and treatment.

  This sudden outbreak has had a huge impact on China's economy, society, and people's livelihood. Although the national epidemic prevention and control blockade has achieved major strategic results, Cheng Jing has not relaxed his vigilance.

  In order to cope with the possible new epidemic and sudden infectious disease outbreaks in the future, he suggested that relevant parties should further establish early risk assessment and early warning plans for epidemic prevention and control, so that decision-makers can control every possible key to epidemic prevention and control. "Turning point", take effective response measures in a timely manner.

  Specifically, it can build an automatic epidemic monitoring report system covering all provinces, cities, and counties. Through the combination of new pathogen detection technology with 5G communication, big data, and artificial intelligence technology, it can realize networked, real-time, and automated epidemic monitoring. Direct reporting system.

  Cheng Jing said that the key to this system is to ensure "two ones", that is, first-hand data networking and first-time reporting, so that decision-makers can keep abreast of the development of the epidemic until the end of the epidemic, and form a fully covered smart epidemic surveillance. network".

  In fact, from health codes to public health data query services, in China's epidemic prevention and control and orderly resumption of production, some digital technologies and intelligent scenarios have been tested. In Cheng Jing's view, in order to finally realize the nation-wide global early warning and real-time monitoring of major epidemics, three core systems need to be built first.

  One is to establish an Internet of Things system for pathogen detection equipment for major outbreaks, to realize the interconnection of pathogen detection equipment across the country and to establish a "pathogen detection equipment cluster"; second, to establish a "province-city-county" for emerging and sudden infectious diseases A three-level pathogen detection system for major outbreaks, establishing an accurate, rapid, and multi-index pathogen detection technology platform and real-time automatic direct reporting of data; the third is to establish a major epidemic risk assessment and early warning system to use "provincial-city" two-level big data centers As a skeleton, establish an intelligent risk assessment and early warning system for major epidemics based on big data and artificial intelligence to significantly enhance the government's ability to prevent and respond to major epidemics.

  "In this way, when the country is faced with an epidemic, it can take timely and leisurely measures to prevent and control it, and minimize the losses it brings to people's lives and safety and the national economy." Cheng Jing said. (Finish)