How does national big data push epidemic prevention?

National big data uses data statistics for scientific epidemic prevention.

Such as health codes, travel cards, etc. Can also be used to promote epidemic prevention.

In the face of public health emergencies and multi-source massive data, how to combine the government and enterprises, scientifically use big data technology, provide more complete, continuous, accurate and timely epidemic prevention information for the public, provide experts with methods to trace the source of diseases, and provide decision makers with the development trend of infectious diseases are the three important tasks of big data application in epidemic prevention.

You can analyze the activity trajectory of "epidemic related" personnel. Big data can analyze the trajectory of personnel flow by integrating the information of telecom operators, Internet companies, transportation departments and other units. Specifically, using data analysis, data mining and other technologies, on the one hand, the patient's action trajectory can be obtained through data analysis including time stamp information such as geographical location and mobile phone signaling; On the other hand, according to the trajectory of the patient's action some time before the date of diagnosis and the accompanying staff who accompany the patient for a long time, big data can infer the close contacts of the patient. Comprehensive analysis of the trajectories of confirmed patients, suspected patients and related contacts can accurately describe the flow of different types of people who overflow across regions, which not only provides strong guidance for precise treatment, but also provides strong basis for predicting high-risk areas and potential high-risk areas.

Tracing the source of infectious diseases, using emerging technologies such as artificial intelligence and deep learning, combined with a large number of data such as travel trajectory traffic information, social information, consumption data and exposure history. Scientific modeling can locate the time-space collision point according to the diagnosis order of patients, close contacts and other information, and then it is expected to calculate the transmission path of diseases, providing theoretical basis for the traceability analysis of infectious diseases.

Predict the epidemic development trend through the movement of high-risk groups, that is, confirmed patients and close contacts of patients. Combined with the number of newly diagnosed, suspected, dead and cured cases of the epidemic, with the help of big data models and technologies such as transmission dynamics model, dynamic infection model and regression model, we can not only analyze and display the distribution of incidence heat and risk heat of close contacts, but also predict important information such as the inflection point of the epidemic peak. According to the predicted epidemic situation, the health department can strengthen the health measures in key areas according to the distribution of disease and heat; According to the thermal distribution of risks, arrange epidemic prevention and control resources in advance in areas that may spread to avoid secondary outbreaks, local outbreaks and multi-point outbreaks. At the same time, the forecast of epidemic development trend will play an important role in determining the time for government departments to resume work, introducing public management and promoting economic development measures. Whether for decision makers or ordinary people, only by having a "number" in mind can we arrange in advance and prevent problems before they happen.