Just ten days later, however, the same thing happened again when a critically ill patient and his family in Shenyang suffered an information leak and received hundreds of unfamiliar phone calls and text messages every day. It was only when the police announced that they had arrested several people for maliciously exposing people’s personal information and spreading rumors that the matter slowly subsided. I try not to read the negative comments on the internet, but I keep getting people texting me and personally attacking me.”Ī police cordon has been erected outside the playhouse bar where Zhao used to visit | Sina “After my identity was revealed, people called me every day, as many as six calls a minute, and outbreak prevention and control staff called and occupied the line. Moral criticism and online violence soon began, with her personal information and photos being circulated with unconfirmed “inside information” and a constant barrage of verbal violence and humiliation. During the epidemic, many confirmed patients’ personal information files, including names, photos, jobs, schools, home addresses, and mobile phone numbers, were leaked on public platforms, causing great distress to patients’ lives, with many receiving harassing phone calls and insulting messages.2020 On 8 December 2020, One of the confirmed cases was found to have visited four bars in one night, and information was soon leaked about a 20-year-old woman who was currently unemployed. ![]() ![]() With the overlay of electronic data, people are often exposed to the risk of inadequate privacy protection and leakage of personal information. Then, the efficiency and convenience of the management model that data has given rise to have also brought with it side effects that cannot be ignored. At the same time, several mapping application platforms exited the “Epidemic Map Display” and “Peer Information Search” functions and launched the “Community Epidemic Map” on 6 February 2020.” The “Community Epidemic Map” was launched on 6 February 2020 and covered more than 200 cities and their surrounding towns within six days, providing real-time population flow and density to help residents decide on their travel routes. Specifically, on the one hand, data containing information on geographical location and time points, such as mobile phone signals, were used to capture the movement trajectories of individuals on the other hand, people in close contact with confirmed patients were identified based on these data, and thus high-risk areas and potentially high-risk areas were predicted. ![]() By pooling data from telecom operators, internet companies, transport departments, and other entities, the movement of people has been analyzed. According to the report published by CAICT, the first case appeared in Wuhan on 28 December 2019, and in the two months since then, China has built up a vast system of data to prevent the epidemic. There is no denying that data has played an undeniably positive role in China’s fight against the epidemic. ![]() It will show the countries and regions visited by the user in the past 14 days and any locations where the user stayed for more than a few hours. Green is safe, yellow requires home isolation and red is for confirmed, suspected, and febrile cases with a higher level of crisis.Ģ) Communication Big Data Trip Card: By locating the user’s mobile phone number, the user’s travel record within 14 days can be checked. Green means you’re healthy, orange means you are suspected or in quarantine, and red means you are a confirmed COVID-19 patient | Returning to China Travel Guidelineġ) Health code: Based on the positioning of the mobile phone number, as well as the consumption records under the ID number, traffic records, etc., to determine the user’s risk of infection.
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