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      Reflection and Foresight on Personal Information Protection and Optimization in Public Health Emergencies in China—From the Perspective of Personal Information Collection during the Period of China’s Dynamic-Zero COVID-19 Prevention and Control Policy

      International Journal of Environmental Research and Public Health
      MDPI AG

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          Abstract

          Public health emergencies threaten the overall public health security of the country. Based on the need to control the ways of infection, the collection and processing of personal information by the government have become an important part of epidemic prevention and control. However, personal information related to the epidemic is highly sensitive, which contains other personal information and even private information in addition to information on personal health. In the early days of China’s response to the public health emergency of COVID-19, a great deal of non-desensitized information was transmitted in an unaccredited manner. With the implementation of epidemic prevention and control measures, the collection and processing of personal information in China have gradually transited from the initial disorder and chaos to the current orderly, legal, and effective situation, continuously optimizing the processing paths of personal information. Serious summary and reflection on the optimization path of China’s epidemic-related information collection and processing methods by looking for a border at which the way and scope of personal information disclosure in future major public health emergencies are compatible with its purpose and role may help to improve the development of China’s personal information protection legal system from a long-term perspective.

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          Information Technology–Based Tracing Strategy in Response to COVID-19 in South Korea—Privacy Controversies

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            COVID-19 Contact Tracing and Data Protection Can Go Together

            We discuss the implementation of app-based contact tracing to control the coronavirus disease (COVID-19) pandemic and discuss its data protection and user acceptability aspects.
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              Application of Big Data Technology for COVID-19 Prevention and Control in China: Lessons and Recommendations

              Background In the prevention and control of infectious diseases, previous research on the application of big data technology has mainly focused on the early warning and early monitoring of infectious diseases. Although the application of big data technology for COVID-19 warning and monitoring remain important tasks, prevention of the disease’s rapid spread and reduction of its impact on society are currently the most pressing challenges for the application of big data technology during the COVID-19 pandemic. After the outbreak of COVID-19 in Wuhan, the Chinese government and nongovernmental organizations actively used big data technology to prevent, contain, and control the spread of COVID-19. Objective The aim of this study is to discuss the application of big data technology to prevent, contain, and control COVID-19 in China; draw lessons; and make recommendations. Methods We discuss the data collection methods and key data information that existed in China before the outbreak of COVID-19 and how these data contributed to the prevention and control of COVID-19. Next, we discuss China’s new data collection methods and new information assembled after the outbreak of COVID-19. Based on the data and information collected in China, we analyzed the application of big data technology from the perspectives of data sources, data application logic, data application level, and application results. In addition, we analyzed the issues, challenges, and responses encountered by China in the application of big data technology from four perspectives: data access, data use, data sharing, and data protection. Suggestions for improvements are made for data collection, data circulation, data innovation, and data security to help understand China’s response to the epidemic and to provide lessons for other countries’ prevention and control of COVID-19. Results In the process of the prevention and control of COVID-19 in China, big data technology has played an important role in personal tracking, surveillance and early warning, tracking of the virus’s sources, drug screening, medical treatment, resource allocation, and production recovery. The data used included location and travel data, medical and health data, news media data, government data, online consumption data, data collected by intelligent equipment, and epidemic prevention data. We identified a number of big data problems including low efficiency of data collection, difficulty in guaranteeing data quality, low efficiency of data use, lack of timely data sharing, and data privacy protection issues. To address these problems, we suggest unified data collection standards, innovative use of data, accelerated exchange and circulation of data, and a detailed and rigorous data protection system. Conclusions China has used big data technology to prevent and control COVID-19 in a timely manner. To prevent and control infectious diseases, countries must collect, clean, and integrate data from a wide range of sources; use big data technology to analyze a wide range of big data; create platforms for data analyses and sharing; and address privacy issues in the collection and use of big data.
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                Author and article information

                Journal
                IJERGQ
                International Journal of Environmental Research and Public Health
                IJERPH
                MDPI AG
                1660-4601
                January 2023
                January 11 2023
                : 20
                : 2
                : 1290
                Article
                10.3390/ijerph20021290
                36674045
                a5653a08-a7e1-4ae1-8c32-8c4c6204d158
                © 2023

                https://creativecommons.org/licenses/by/4.0/

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