Risk tracking in a short time. When the epidemic first appeared, there was no big data on epidemic prevention and control. People can only rely on health cards issued by local communities, and the use period of health cards may be as long as one month, which is obviously unscientific. With the emergence of big data, people need to use mobile phone scanning code to register. Once an epidemic occurs in a certain area, the relevant government departments can use big data to conduct risk investigation at the first time, and track and notify all the secret-related personnel in place and isolate them at the first time, which plays a very key role in epidemic prevention and control.
Big data won't miss anyone. Once a high-risk or medium-risk area appears in a certain area, all personnel will be arranged for nucleic acid testing, but if large-scale nucleic acid testing is to be carried out in a big city, it needs strong mobilization ability. At this time, big data still plays a key role. If individuals do not participate in the specified nucleic acid testing, the big data system will automatically turn these people's health codes into yellow. Once the health code appears yellow, it is very difficult to go out to work or do other things. In addition, in the usual daily scan code registration work, big data already has its own registered mobile phone number, and government departments can directly call individuals to question.
Big data will record everyone's migration. Every holiday is a great test of epidemic prevention and control, and many public shopping malls and public stations have registered health codes. For example, after the outbreak in which province, the staff will use the heat map of big data to show who went to which areas in the past 14 days and how long they stayed in which areas. These can be investigated.
In general, the Internet era has played a great role in epidemic prevention and control, especially big data, which has a very good side for large-scale personnel transfer and population survey.