From the real-time reports of epidemic prevention and control in recent days, new technologies represented by big data and artificial intelligence are gradually being applied to the front line of the fight against the epidemic. Keeping abreast of the development of the epidemic is the key.
Big data plays an important role in epidemic prevention and control
Monitoring the flow of personnel, potentially infecting people, and cutting off the source of infection are all issues that need to be solved urgently in this “war epidemic”. Although the epidemic is more contagious, there are more novel technologies to deal with now than in 2003. In the fight against this epidemic, the Internet, especially big data, the technical means behind it, is playing an important role.
In the past period of time, several Internet companies have provided a large amount of data support to the relevant departments through their own data and technical capabilities, and made great contributions to the screening, tracking, control and isolation of the source of infection, such as the release of the latest epidemic information , experts from all walks of life to answer questions, patient help and certification on social media, multi-platform live broadcast of epidemic prevention science, etc. In addition, you can also collect materials and meet needs through the Internet.
It is very urgent to strengthen data sharing. It is necessary to open up data between provinces and cities, between local and local, between enterprises and governments, between domestic and international, and establish a smooth data channel around epidemic prevention and control shared data. After the establishment of this channel, the overall prevention and control capabilities of the whole country can be improved, and there is no longer a fight for each other.
Contact tracing using cell phone signals
The three major mobile phone operators in China hold the mobile signaling data, of which China Mobile holds 70%, and China Telecom and China Unicom each hold 15%. With these data, we can fully grasp the recent flow and distribution of China’s population, especially for a certain region.
The epidemic first occurred in Wuhan City, Hubei Province. Most of the cases had a history of living or traveling in Wuhan or Hubei. The main purpose of Wuhan’s “closure” measures on January 23 was to cut off the route of infection. Monitoring the movement information of mobile phone numbers in Wuhan and Hubei to the outside world can well grasp the outflow of people from Wuhan and Hubei, and connect the local list of confirmed cases and suspected cases. The government, public security and other relevant departments protect personal privacy. Analyze and screen the travel history of personnel, and screen the visited areas, so as to focus on observation and disinfection of these areas. At the same time, post-event contact tracing of close contacts can also be performed.
Mathematical model predicts epidemic development
Dr. Hu Yanqing, a computer expert from Sun Yat-Sen University in China, and others used the big data of popular search trends such as Baidu and Google to analyze the outbreak in Wuhan through a mathematical model of infectious disease dynamics SEIR (susceptibility-latent-infection-isolation) with a control intervention mechanism. The new coronavirus (2019-nCoV) infection trend is predicted.
Mathematical model is a kind of simulation, which is an abstract and concise characterization of the essential properties of practical problems using mathematical symbols, mathematical formulas, programs, graphics, etc.; it can explain some objective phenomena, or can predict future development laws. Or it can provide an optimal strategy or a better strategy in a certain sense for controlling the development of a certain phenomenon. Predicting the development of the epidemic will help to take preventive and control measures in advance. On the basis of the existing big data analysis, the use of infectious disease mathematical models to predict the development of the epidemic can provide a reference for epidemic prevention and control.
Infrared body temperature monitor to screen people with abnormal body temperature
“5G + Infrared”: Guangdong Mobile innovatively launched the “5G + Infrared” temperature measurement information application, which can perform long-term continuous body temperature screening with high accuracy and strong safety in various places with dense crowds, effectively reducing the temperature caused by contact temperature measurement. The risk of cross-infection will help to hold the first pass of epidemic prevention and control. The “5G+infrared” temperature measurement application can scan multiple people at the same time. The infrared precision temperature detector starts to detect at a distance of 10 meters. It can record the head picture of the person being measured and the corresponding body temperature, and realize 24-hour all-weather monitoring. Personnel in charge of monitoring can conduct temperature screening remotely, detect individuals with abnormal body temperature in time, and achieve early detection and early isolation.
“UAV + Infrared”: DJI in China has also recently tried to use “UAV + infrared” to screen suspicious patients. It is understood that due to its portability, high flight stability, and its own thermal imaging lens and microphone accessories, the DJI Royal 2 industry dual-light version is used by many communities and road checkpoints for remote body temperature detection.
“Robot + Infrared”: At present, in hospitals, airports, stations, parks and other public areas with relatively large crowds of people and large mobility, mobile temperature measurement equipment is simpler to deploy, does not require special care, and is more applicable than fixed thermometers. Flexible. For example, Gosuncn has launched a 5G temperature measurement patrol robot; Mushi Technology and Orion Star have also added temperature measurement functions to the original robots.
Artificial intelligence diagnosis quickly analyzes the genes of suspected cases
The new coronavirus is one of the viruses with the longest genome sequence. It is very difficult to quickly detect the “full picture” of its genome, and accurate clinical diagnosis relies more on this genetic information. The medical AI team of Ali Dharma Academy can analyze and compare the whole genome sequence of virus samples through the Zhejiang whole genome detection and analysis platform, which can effectively prevent the missed detection of virus mutation and reduce the whole gene analysis process that originally took several hours to half. hours, greatly improving the speed and accuracy of the diagnosis of cases.
YITU has developed the “New Coronary Pneumonia Intelligent Evaluation System” based on CT medical images, which can perform rapid diagnosis of new coronavirus-infected pneumonia (severity of patients) and intelligent analysis of curative effects. In the past, the traditional method of manually delineating ROI for quantitative evaluation often required 5-6 hours, which was inefficient and difficult to clinically promote. However, this new AI system can automatically detect the lesion area within 2-3 seconds. Complete quantitative analysis, greatly improving the efficiency of accurate quantitative analysis.
The application of big data and artificial intelligence to the prevention and control of sudden acute infectious disease epidemics is in its infancy in my country, but this epidemic has pushed it to the front line of protection, allowing the majority of people to understand this concept, and I believe that its broad application prospects will be beneficial for human beings. The epidemic prevention and control of infectious diseases and other fields have brought breakthrough progress, which deserves further in-depth study.