The person in charge of the municipal big data center organized a special meeting on big data analysis for epidemic prevention and control.
With the release of the official information of "1 confirmed case of new coronavirus reported in Yuhu District of Xiangtan City" on July 30, a faster, stricter and more solid epidemic prevention and control battle has begun. In the face of the epidemic test, the Xiangtan Big Data and Industrial Innovation and Development Center responded quickly and relied on the help of big data to establish the "strongest brain" to win the battle against the epidemic.
Fast anti-epidemic "nerve center" efficient operation
At 2:00 a.m., the office area on the 8th floor of the Municipal University Data Center was still brightly lit, with the sound of rapid footsteps, fierce discussions, and non-stop keyboards... More than 10 technical specialists worked all night. This is the epitome of the work of the back-end support group of the epidemic prevention and control big data platform of the municipal big data center in the prevention and control of the epidemic.
"Since July 30, our group of more than a dozen people has been working continuously, some members sleep directly in the office, and when the data of the epidemic prevention headquarters comes, we will deal with it whenever it comes." Peng An, director of the Big Data Operation Management Center, said.
In order to compete with the virus for time and speed, cut off the transmission chain before the further spread of the epidemic, and curb the spread of the epidemic, the municipal big data center responded urgently, and on July 30, 2 business backbones were urgently dispatched to the city's epidemic prevention and control data research and judgment team.
"Before 3 p.m. every day, it is necessary to achieve zero epidemic-related data, that is, to coordinate with public security, disease control and other departments to implement verification and verification of people from medium- and high-risk areas who come to Tantan, red code personnel, entry personnel, and possible epidemic-related personnel." This is the requirement of Li Yi, deputy director of the Municipal Big Data Center and head of the Municipal Epidemic Prevention and Control Data Research and Judgment Group, for the research and adjudication team.
At the same time, relying on the technical team of the information sharing and exchange platform, the municipal big data center has set up a back-end support group for the epidemic prevention and control big data platform on the spot, integrated the epidemic data, and compared, supplemented and deduplicationded with the basic population database.
The application of big data analysis technology to screen key personnel involved in the epidemic in the whole process can save a lot of time and manpower for community visits and investigations, and provide "acceleration" for epidemic prevention and control.
Precise epidemic control "early warning device" is sensitive to operation
On August 2, Xiangtan City reported a new confirmed case of new coronavirus, and at the same time, the main activity trajectory of the confirmed case was officially announced.
In three days, the confirmed cases took nine buses, involving a large number of people. Under the support of big data technology, only eight hours later, all the data of the people in the same car were found.
In the face of the movement of people throughout the city, the data is massive. Peng An said: "The team members are all on duty, everyone does not dare to slacken off, and strives to process data in a timely and accurate manner." ”
"Hello! Big data shows that you have recently been to high school risk areas or areas with local case reports..." Recently, many Xiangtan citizens received such text messages, and some citizens were puzzled: "I just passed around the blocked community and left in a few minutes, how can I still send me a text message?" ”
Through big data analysis, screening citizens who may have contact with new crown pneumonia cases or asymptomatic infected people, and then cooperating with the three major operators of mobile, Unicom and Telecom, and finally sending health reminder information in a timely manner by each operator, so that data can run ahead of the spread of the epidemic, which is the data power to win the battle of epidemic prevention and control.
Since the outbreak of the new crown pneumonia epidemic, big data has played an important role in epidemic research, accurate prevention and control, transmission path analysis and follow-up governance.
From the real epidemic prevention, the "protective net" is firmly woven
"This wave of viruses spread faster, spread more widely, and make data screening more difficult." Li Liang, liaison officer of the municipal data research and judgment group, said. Time is tight, the scope is wide, and the task is heavy, which is a grim situation facing data research and judgment.
According to the requirements of "six grasps and six precisions", Jiang Wenwu, secretary of the party group and director of the municipal big data center, made a statement: "The city big data center must respond quickly, quickly deduplication, and quick distribution, accurately identify, accurately locate, and accurately reach the household, efficiently serve the overall situation of epidemic prevention and control in the city, and go all out to curb the spread of the epidemic." ”
"No one leaks the pipe, no one leaks the control, and truly prevents external input and internal proliferation, and our citizens can go out of their homes to play with peace of mind, which is the effect we want to achieve." Li Yi said.
As of August 10, the back-end support team of the epidemic prevention and control big data platform of the municipal big data center has cumulatively feedback more than 2 million pieces of data to the municipal epidemic prevention and control data research and judgment group, providing strong big data support for accurate data comparison, dynamic monitoring of epidemic prevention and control, correspondence of people numbers, and accurate and effective personnel addresses. (Correspondents Ge Yafen, Liang Shuang, Long Qixuan)