Pull together in times of trouble, we should emphasize the importance of strengthening the analysis and application of big data to win the epidemic prevention and control. We must implement the general requirements of general secretary Xi Jinpings firm confidence, joint efforts, scientific prevention and control, precise implementation, and further strengthen the epidemic prevention and control of big data system, and work hard to form a closed loop of data collection, analysis, judgement, push, check, feedback. Turn big data into scenario application in epidemic prevention and control, realize number war and number decision in full application, further improve the accuracy and effectiveness of prevention and control, and promote more scientific, refined and intelligent epidemic prevention and control.
Epidemic prevention and control data information system is an important weapon
It should be noted that building and making good use of the big data system of epidemic prevention and control is not only the concrete embodiment of scientific prevention and control, precise implementation of policies, but also an important aspect of improving the urban governance system and capacity.
With the continuous deepening of epidemic prevention and control, it is difficult to keep up with the overall prevention and control needs only by human sea tactics such as large-scale screening. The data information system of epidemic prevention and control based on big data is an important weapon for us to win the fight against epidemic prevention and control.
In recent years, relying on the public security big data platform, Wuhan municipal Party committee and municipal government have rapidly built a big data system for epidemic prevention and control, which has achieved initial results in operation and made solid steps in the construction of closed-loop data information. We should continue to strengthen the construction of big data system, and promote the application of big data analysis to epidemic prevention and control work faster and better.
Ensure data authority and accuracy, be responsible for facts and history
The authenticity and accuracy of basic data is the primary premise for big data system to play its role, and also an important basis for research and decision-making. Ying Yong stressed that Wuhan is the main battlefield to win the prevention and control of epidemic situation. We should speed up the collection of multiple data and information, achieve multiple sources and one export, ensure the authority and accuracy, be responsible for the facts and history.
Relying on the public security big data platform, we should coordinate the resources of public security, health, civil affairs and other departments, and form a special work class to achieve demand sharing, platform co construction and achievement sharing.
Big data focuses on application. Through the collection, analysis and application of data, the big data system is continuously improved in the work, realizing point-to-point, uninterrupted, rolling dynamic management and timely data update, forming information closed-loop, and promoting more accurate and effective data.
All units shall feed back the treatment situation of the day to the big data platform in time, so as to achieve daily clearance and daily clearance, and always ensure that the community is clean and the social surface is clean.
Strengthen the leading role of big data system in epidemic prevention and control
It should be stressed that construction is for better application. We should continue to expand and improve the functions of big data system, enrich the application scenarios, and improve the use efficiency.
Ying Yong presided over the meeting of the Standing Committee of the CPC Provincial Committee
Yingyong, Secretary of the provincial Party committee of Hubei Province
Yingyong, Secretary of Hubei provincial Party committee, made a comment: in the most arduous critical stage of epidemic prevention and control, such serious violations of the control of the channel from Han to Hubei should not be allowed.