“After the city’s big data analysis, you may have been to the new origin wholesale market after May 30 (inclusive) …” With the new origin market source is locked, in recent days, big data screening, has become a hot topic in the circle of friends of many Beijing residents a set of data data show that, as of June 17, in the same course of action, the use of big data analysis related to the risk of the population location and path, Beijing spent just a few days, “find” more than 300,000 people to test acid.
Compared with the data analysis population flow in the early stage of the wuhan outbreak at the beginning of the outbreak, the “big data screening” in Beijing undoubtedly reflects the higher technical content, and better timeliness, and plays an important role in the handling of the outbreak.
The images show people visiting the new origins from May 29 to June 12, and 2,430 people are seen visiting the new market and leaving Beijing, 91 of them in Shanghai. The chart also details other cities visited by more than 2,000 people, including Langfang, Baoding and Tianjin. (Picture from the internet)
Three ways to lock in new contacts
Since June 15, many Beijing residents who have passed or have been to new places have received short interest or community calls to confirm that respondents have recently visited or passed the new origin market, requested to fill in information truthfully, and to conduct nucleic acid testing as soon as possible.
So, what is “big data screening”? How does big data find new passers-by? What role did big data play in the prevention and control of the epidemic?
Big data, as the name implies, is actually a large number of data, this data comes from the data produced at any time, and big data is divided into narrow and broad two kinds, narrow big data includes personal personal information, shopping habits, reading habits and other personal portraits, and the broad sense of big data is for the community or enterprises, such as e-commerce using big data analytics customer shopping habits, do a good job of demand forecasting, layout warehouse storage in advance and so on.
It is clear that the new “big data screening” is an organic fusion of broad and narrow big data, and a good use of mass storage and fast retrieval technology.
Although the official did not announce the specific method of big data screening, but the Chinese science sugon big data chief engineer chief scientist, storage products division deputy general manager Dr. Weiming Song analysis that Beijing can achieve the use of big data to quickly screen new visitors, there are three technical paths can be achieved.
First of all, based on mobile phone data to determine location information, also known as the base source positioning method, this is the most commonly used method, but also the new big data screening, the most efficient means: but the base source is not GPS, but through the mobile phone base station, and GPS use only open different, the mobile phone will automatically connect to the nearest signal tower, all mobile phone activities, can be through the signaling data signal cell containing base station information screening back, which is to track the user’s location and path tracking, Provides true and accurate first-hand data.
Second, through social communication information analysis, this is not through social software information judgment, but combined with existing data, by telephone survey, groping visits and other ways, and eventually form a relatively reliable data information, but also in a short period of time to filter out who work in the new place, who has been to the new place, they are in close contact these days who and so on.
The third method is that the new location screening process, in addition to the screening of pass-throughs, close contacts, but also checked a number of items and goods, in this process, through the specific carrying of viral items of the path and contact tracing, can also be used as a troubleshooting to find the new location of close contacts one of the basis. But Mr. Song stressed that the data on such screening methods may not be complete, and that it is not entirely certain whether the new sites are really using the method of checking to find contacts.
In addition to the official response, there was a rumor circulating online that “Alipay and WeChat provide data, lock 350,000 people and help screen the virus” but the news was quickly dismissed by both sides.
In this regard, Song Huaiming believes that through the two-dimensional code to obtain transaction stakes, you can determine the transaction user location. But for transaction users to track the path of action, neither Alipay nor WeChat can be achieved. In addition, the new origin as a bulk wholesale market for agricultural products, there are many other ways to deal through online transfer or cash, so Alipay WeChat data, at most, can only play a role in big data screening.
Big Data Helps Epidemic Accuracy And Control
In addition to screening visitors, what role does big data play in this new outbreak? Wu Zunyou, chief expert of the China Center for Disease Control and Prevention, told the Beijing Science and Technology Daily that, in his view, big data played at least two roles in the new crown outbreak in Beijing: first, to lock early cases accurately into the new market, to find the source of infection in a timely manner, for disease control has won valuable time.
The second is to understand the understanding of people who have been to high-risk areas after the discovery of the outbreak, “including exposure to the environment, contact with people, and close contacts, the distribution in Beijing, as well as the situation in Beijing, for the detection of potential infections, blocking transmission, played a very large role.” “
In fact, not only the new birthplace in Beijing, in the process of the new crown pneumonia outbreak, especially at the beginning of the Wuhan outbreak, big data screening and analysis, for disease prevention and control has played a very important role.
Beijing this time to achieve accurate grading, there is no ‘one-size-fits-all seal city’, and the street as a unit to divide the risk level, graded control, big data played a key role
After the outbreak, several technology Internet companies through data and technical capabilities, to provide a large number of data support to the whole society, such as Baidu’s migration data, accurate lying out of The number of people leaving Wuhan and stranded in Wuhan, for the government to provide a decision-making reference;
In addition, the use of big data technology to achieve information sharing, rapid query, many media platforms and Internet platforms have opened up a new crown pneumonia dynamic update, epidemic display and rumor-mongering function, users in the fish and dragon mixed information to return to rationality, so that authoritative information “run” in front of rumors, timely calm the public mood, from another level “suppressed” the spread of the virus.
At the prevention level, for personnel gathering can be early warning, in terms of the source of proliferation, the mathematical model and the social characteristics of personnel combined, can be a good analysis of diffusion path and speed, the development of more targeted countermeasures and measures”: “Beijing this time to achieve accurate classification, there is no ‘one-size-fits-all sealed city’, but to the street as a unit to divide the risk level, graded control. “It’s all big data that plays an important role, ” Says Mr. Song.
Compared with domestic, in the big data prediction and analysis of epidemics, foreign countries have a more mature exploration and practice, as early as 2008, Google released “Google Flu Trends” (Google flu trends), using keyword tracking technology to collect data, if in a certain period of time in a certain region, there are a large number of searches for influenza, fever, colds and other keywords, indicating that there are potential infected people, need to attract the attention of relevant departments.
Google has developed software that uses big data analytics to analyze flu trends, but ultimately fails (image from the web)
In 2009, an outbreak of swine flu in Mexico, researchers also used communications data to monitor the public’s response to government-issued health warnings to guide authorities to better adjust their policies;
It is not difficult to find that with big data and artificial intelligence to support the public health field: on the one hand, higher efficiency of action, effectively slow the spread and spread of infectious diseases, on the other hand, can also play an important role in providing prediction and analysis.
How are big data applications “higher, faster, stronger”?
After the outbreak of the new crown outbreak, big data in the epidemic detection and other aspects of rapid application, domestic fields, industries, institutions, departments have used big data technology, strengthen connectivity, accelerate the integration of the whole social forces, the outbreak of the treatment has played an important role.
But big data applications are not perfect, and as the outbreak has deepened, it has also exposed a lot of short boards, and still need to improve the perfect place.
The first is the accuracy problem, from the current technical level, most of the city’s big data applications, focusing on urban daily life management scenarios, basic security scenarios, such as the financial sector, security field, traffic planning field, etc. ;
For example, in the course of this new epidemic prevention, because big data information can not accurately distinguish between “go to” and “passing” the difference between the new origin market, coupled with the short operating time, and finally appeared a “one-size-fits-all” situation, some people who take public transport routes to the new origin, also received a request for nucleic acid testing of the text message sms or notifications, people are quite surprised.
In this regard, Wu Zunyou believes that the big data screening process, due to the short time, limited energy, there are indeed some misjudgments, some people who are not exposed to danger, but also asked to fill in the information to detect nucleic acids “but the number is only a small part, the current priority is to control the epidemic, there is room for improvement in the future. “
Song Also believes that, in addition to texting, screening methods also include phone calls, door-to-door visits and self-reporting, etc. , in order to minimize the inaccuracies and uncertainty of big data applications in sudden public health incidents.
Second, big data decision-making, Song Huaiming said, from the actual effect, the current role of big data, more still remain in analysis and auxiliary decision-making, only a small number of automatic decision-making “from a data point of view, such an approach is more scientific, but from the point of view of time and efficiency, such a means still have a greater space to improve. “
For the need for prevention and control, many people’s personal information is “exposed” in the APP, small program or registration form, record book, which is reasonable collection, which belongs to excessive collection, if personal information is disclosed how to do? It’s still open to discussion (image from the internet)
In terms of data legislation, data security, the relevant laws and regulations are not sound enough: reporters learned that the national level has not yet issued laws and regulations for public data management, the provincial and municipal level is basically in a situation of separate war, some places have introduced laws and regulations, some places have only introduced regulations, and some places have not legislated on this.
This invisibly to data security and personal privacy, bring uncertainty – during the outbreak, there are many personal privacy leakage incidents, causing public concern; It’s still open to discussion,
In fact, strengthening information sharing, eliminating information silos, and protecting personal privacy and data security are not only essential to the current fight against the epidemic, but also a huge role in achieving scientific government decision-making, precision of social governance and efficient public service.
“In the future, we should focus on regulating the ownership, use and use of data, and protect the privacy and data security of the public.” Song Huaiming stressed that the relevant departments should not only grasp the public’s right to know, and protect the relationship between public privacy”, but also as far as possible to the public concern of the data comprehensive, timely and accurate release, and fully mobilize social forces to actively participate in the formation of big data sharing.