Data Sharing in The Epidemic of New Coronavirus Pneumonia

Source: Internet
Author: User
Keywords covid-19 new coronavirus pneumonia new coronavirus infected pneumonia novel coronavirus 2019-ncov prediction
In order to give full play to the role of informatization, by collecting, analyzing, and monitoring the relevant resource data of key medical material companies, the efficiency of emergency resource supply has been improved;Due to the epidemic of new coronavirus pneumonia, a telecommunications big data analysis platform has been established, and mobile phone positioning information can be used to count personnel movements and track back diagnosed patients.

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At present, the situation of the national epidemic prevention and control is positive and positive, but the epidemic situation in Hubei Province, especially Wuhan is still complicated and severe. In order to give full play to the role of informatization, the Ministry of Industry and Information Technology has organized the construction of a national key medical material security dispatching platform, which collects, analyzes, and monitors the relevant resource data of key medical material enterprises to improve the efficiency of emergency resource supply; a telecommunications big data analysis platform Relying on mobile phone positioning information, you can count the movement of personnel, and trace the travel of diagnosed patients. During the anti-coronavirus process, the value of the big data war "epidemic" was highly valued and applied, but it also made the industry fully realize that there are still many deficiencies in China's data sharing and data governance.

Data sharing issues highlighted in new coronavirus pneumonia epidemic

Data collection efficiency is low. During the epidemic period, key information such as personnel and materials were acquired. Vertical reporting mostly used local to central reporting methods. The reporting time was long and the data content was repeated. There was no specific platform entrance for horizontal publishing. The transmission channels were chaotic and the data sources were mixed, which directly affected The nationwide coordinated development of epidemic prevention and control and rescue work. For example, in some areas, emergency health data reporting, emergency response bureaus, government offices, county party committees, women's federations, education bureaus, and agricultural and rural bureaus have carried out emergency data reporting. Many of them use manual reporting, which is inefficient and has multiple forms of submission, which is extremely detrimental to effective information integration . With Wuhan and hospitals all over the world asking for help from the public, countless "donor groups" have emerged across the country, such as Baidu Tieba Wuhan Station's top post on "Combating the Epidemic, Crowdfunding Donations", and the Douban Epidemic Information Release Platform Team Inside, more than 13,000 members gathered.

Response to Epidemic Needs to Improve Data Sharing Ability

The key to the collection of data collected from multiple entrances lies in a unified and standardized data model. The standardization of epidemic information data collection is an important basis for the realization of national personnel control and joint prevention and control in various regions. It is necessary to establish a standardized description method of personal health information data, unify the data format of data items, and build an open and universal data collection interface. In order to grasp the city-wide epidemic data, Jiangmen City, Guangdong Province, formulated data collection technical standards, and integrated standardized data into the large-scale data center for municipal affairs, realizing a unified dispatch and use mechanism for people to report at once and synchronize multiple systems to achieve "Guangdong Province" and "Guangdong Exchange and aggregation of epidemic information data on different platforms such as Shangtong. As of February 23, more than 1.2 million pieces of health declaration data for epidemic prevention and control have been gathered in the city, more than 800 pieces of data on epidemic clues have been reported, and 41,000 pieces of "Guangdong Provincial Affairs" and "Guangdong Business Link" return data.


The key to the interaction of multi-platform stored data is to build a data query mechanism. Data flowing between multiple platforms is an important prerequisite for further exerting the value of government data on institutional tasks and public interests. With unique identification, cross-platform data extraction and data traceability can be established to solve the data interaction scale and discoverability during multi-platform data fusion. And accessibility issues. At present, the Beijing-Tianjin-Hebei Health and Health Commission, the Sichuan-Chongqing Development and Reform Commission and other departments have gradually established a cross-regional joint prevention and control mechanism, and 28 provinces, autonomous regions and municipalities across the country have launched a "digital epidemic prevention system" in cooperation with Ali. The national government service platform launched the "epidemic prevention health information code", which enables the public to know the personal health risks of epidemic prevention and realize the mutual recognition of the health of personnel across provinces. China Academy of Information and Communications Technology and the three major operators launched the "Communication Big Data Itinerary Card", which provides 1.6 billion mobile phone users across the country with free information about their visits within 14 days.

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