Since the "New Ten Measures" for the Prevention and Control of COVID-19 on the 7th of this month, local governments across the country have successively issued specific implementation measures, and the mandatory testing of universal nucleic acids for three years will become history. After canceling the nucleic acid test for , it is difficult to obtain quantitative national epidemic data. At this time, the power of big data in the Internet era is fully demonstrated. What channels of big data can be used to understand the epidemic trends and when will your hometown reach the peak of the epidemic? This article will tell you the answer.
01 Maize City Database
This database data is obtained through Baidu epidemic search index, combined with huge algorithms, etc. However, it is more intuitive than index data. Through big data trend analysis, the development of the epidemic across the country is quantified, and the peak arrival date and end date of the epidemic in major cities across the country are evaluated and specific data are given.
The following figure is the Qingdao epidemic forecast trend chart, including the arrival day of the first wave of infection peak and the end day of the first wave of infection peak, which is very clear and intuitive. It can be seen from the figure that Qingdao City had 353,000 new infections yesterday, accounting for 3.5% of the total population, and the cumulative number of infections on that day accounted for more than 10% of the total population. Similarly, it can be seen from the curve that the current epidemic in Qingdao is in a stage of rapid and straight upward trend, reaching the peak of infection in almost a week.
Qingdao epidemic big data
02 Baidu epidemic index
Baidu epidemic index includes the national epidemic index and the epidemic index of major cities. It has many sets of very typical big data and has very high reference value. Many so-called big data and analyses in other channels are basically based on the specific analysis of Baidu Index big data and the expression of various analytical or quantitative data.
Baidu National Epidemic Index
This index is relatively authoritative and comprehensive, but it does not have specific quantification. You can only see the direction and trend, and judge the changes in the epidemic situation in the city through curve charts and percentages. From the figure below, it can be clearly seen that Beijing and Wuhan should have passed the peak period of the epidemic, the epidemic index has declined significantly, Zhengzhou has stabilized, and the number of infections in Hefei is rising rapidly.
The epidemic index changes in major cities
03 National epidemic prevention hot search list
This set of data is also from Baidu search, which describes the symptoms of new crown , the attention to epidemic prevention materials and the search data. These data are of great reference value for the epidemic prevention department to prepare epidemic prevention materials for symptoms and for individuals and families to prepare relevant new crown drugs.
is the hot search list of symptoms. From the chart, it can be seen that the most obvious symptoms of COVID-19 infection are fever, followed by cough, sputum, nasal congestion and runny nose. Among them, fever is the most typical and most prominent.
National Hot Search List for Epidemic Prevention (Symptoms)
The following figure is the hot search list for Epidemic Prevention materials on the Hot Search List, ibuprofen , antigen , and masks rank in the top three. Ibuprofen is a typical antipyretic drug, which corresponds to the most typical symptom of COVID-19, which ranks first on the hot search list. The accuracy of data trends is confirmed through the forward and back echo and coincidence of big data.
National Hot Search List for Epidemic Prevention (Materials)
04 Correctly understand Big Data role in epidemic prevention and control
In the three years of fighting the epidemic, the Internet has brought me great convenience, making it possible to not contact and carry out comprehensive and precise prevention and control. The health code is a very typical product that combines big data tracking and nucleic acid testing. With our three years, with the gradual cancellation of nucleic acid testing, the health code should soon withdraw from the historical stage of COVID-19 prevention and control, but the huge power and role of the health code in precise prevention and control and precise epidemic management will remain in history.
Big data is a product of the Internet age. After the nucleic acid detection is gradually cancelled, there is no specific quantitative data for the detection, and the epidemic is analyzed through the big data of people's daily behavior and the big data expressing trends is also a powerful basis for our precise prevention and control and early prevention.
Big data helps epidemic prevention and control
Everything must be viewed in two parts.The epidemic prevention and control is carried out through data models such as big data, provided that the authority and reliability of big data are the authoritative and reliable. Whether it is Baidu Index or Maize Big Data, they are not official authoritative data and are for reference only. Data from the past was the basis of big data, and real data is the cornerstone of big data. Three years have shown that the several mutations of the new coronavirus show that the trend of virus is uncontrollable and unpredictable. The rapid development of the virus recently shows that while the toxicity continues to weaken, its transmission is rapidly increasing, which can easily lead to inaccurate judgments on data trends such as peak periods of the epidemic.
Refer to the epidemic big data, take personal protection, abide by epidemic prevention policies and rules, strive to avoid the first round of peaks, and achieve the final victory in the fight against the epidemic.
