Dazhou: Information sharing runs out of precise epidemic prevention "acceleration"

Since the occurrence of this round of epidemic, in the face of the pressure of surge in the epidemic data, Dazhou has integrated multi -party data resources through big data informatization methods, using big data analysis results, and accurately pushing information to provide strong data support for epidemic prevention work.

Fu Xiahuan, deputy director of Xiaobei Street Community, Xicheng Street, Tongchuan District: Hello, I am the staff of the Xiaobei Street community. From Chengdu Chenghua District, in accordance with the requirements of the epidemic prevention and control, it returned from Chengdu's low risk (region). The health code, nucleic acid test report, itinerary code, and the temperature of the afternoon every day to our staff.

In the Xiaobei Street community in Xicheng Street, Tongchuan District, the staff is investigating personnel information based on the background of "Dazhou City (Return) Reporting System".

Fu Xiahuan, deputy director of Xiaobei Street Community, Xicheng Street, Tongchuan District: We can report to the system through Dazhou City (Return) personnel to report to the system to return to the high -risk (region) to return to the daimers. Control.

During the period of social epidemic control, community workers are limited. It is necessary to assist in handling nucleic acid testing, community inspection, and material guarantee of tens of thousands or even tens of thousands of people at the same time, which is undoubtedly a great challenge for the community. Dazhou City (Return) Da Da reporting system can push the front -end information to the local community (village) in a timely manner. Staff can inquire in real time through the background system to query the field (return) to the personnel to reduce the close contact between the investigators and the risk personnel. It provided support and supplemented for offline precise investigation.

Since this round of epidemic, Dazhou has continued to use independent development of epidemic prevention data sharing platforms and (returning) personnel to report systems to widely collect data sources such as the provincial headquarters, provincial management bureaus, public security technical investigation, communication signaling, and other data sources. Analysis and processing of epidemic data, silently performed a big data war.

Li Na, head of the Data Resources Section of Digital Economic Bureau of Dazhou: From September 1st, a single -day processing of the epidemic data has reached more than 80,000. After our technical processing, it has reduced 80 % of duplicate data and effectively improved the data. The precision also reduces the burden of inspection at the grassroots level. As of September 5, we have accumulated more than 200,000 epidemic data.

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