Big data - the needle of disease

At a recent opening session of the Big Data Conference of China, Dr. Gao Fu of the Chinese Center for Disease Control and Prevention made a hypothesis before his speech. "If Baidu's search engine was as developed as it is in 2003 when SARS prevailed, let us know in advance Guangzhou, Hong Kong SARS virus infection has begun to take place, then the rest of the area by the risk of SARS will become smaller?

In fact, this issue has also exposed our country's traditional disease prevention and control of the lack of ways, the biggest is that in real time, the prevention of disease is to be detected as early as possible, as early as possible control. Google has set a precedent in disease prevention and control, so let's take a look at the work of Google Flu Trends (GFT) and compare with Baidu to peek at the future of big data in China's CDC.

China CDC big data direction

The CDC and Baidu in-depth cooperation, not only using Baidu's data technology to control the spread of disease, but also come up with official monitoring data and Baidu in-depth analysis and the establishment of models. The following is a big data, disease control can do the following.

1, to determine a certain size of the unknown disease in advance, gain control over the epidemic. Neither traditional nor big data can detect any cases without clinical symptoms, all of which are 0 in the hospital's clinical experience. However, big data can do one thing. Through the hospital's shared information and Baidu's frequent search of monitored users in designated areas, it can be detected that some areas such as unexplained pneumonia have occurred. Vomiting and diarrhea and other abnormalities appear ...

And then through the virus control database with the Center for Disease Control virus analysis, looking for anastomosis of the virus, the comparison analysis and then find out, to determine the time to win the disease. In other words, with big data, disease prevention can really determine the source of the outbreak as soon as possible and gain time for control.

Another point to note is that with the current technology, the outbreak of the epidemic is beyond anyone's control. The only thing we can control now is the extent to stop the spread of the disease in a timely manner, and big data is the only and best way.

2, to determine the flow of personnel to control the epidemic. After the outbreak, although the country can control the local outbreak as soon as possible, the movement of personnel is beyond control. Now using Baidu's technology can be done, such as A sudden outbreak of infectious diseases, but at this time under the monitoring of Baidu's big data will be able to monitor the source of infection in the main flow direction is B and C, so CDC Take out the corresponding medical technology and the corresponding treatment drugs and vaccines to prevent and control, the first time arrived at B and C, all the drugs ready and vaccination for the locals, thus reducing the blind spread The overall layout of the network, through the flow of data provided by Baidu, so that control of the epidemic significantly improved in efficiency.

3, the rapid development of drugs and vaccines. The most important thing after the outbreak is the development of the corresponding drugs. The traditional practice is a small area of ​​research and development, and then use the traditional exchange, but with big data can not be the same. During the patient's treatment, all medication usage data as well as the patient's condition data are fully networked. When the machine detects the patient's condition found by reading a certain medication (by reading the entered medication data) (by reading the patient's health record After the key index data) part of the effect, will be quickly included in the research and development decision-making, research and development departments to provide a useful reference for the development of anti-epidemic drugs and vaccines to prevent outbreaks, providing big data network-wide support.

4, propagation dynamics model established. The epidemiological model of epidemic has many academic achievements, but these academic studies are hard to come by. As the theory of social problems mentioned in Anti-Fragility wants to be established, it is a misunderstanding from academia to practice , The real theory is always set to practice and then academic and then continue to fine-tune. Now that we have full monitoring of big data, CDCs have more practical support to start the real dynamics of communication through the establishment of a complex dynamic network of outbreaks.

At present, CDC brings data from monitoring points, data from townships to hospitals, and big data already existing in Baidu. Combined with Baidu's stronger analytical capabilities, it draws a model of communication for the future Outbreak control work to do more information.

5, establish a national early warning mechanism. The high academicians have a vision and hope that the future warning of big data disease prevention and control will not only be received by the decision-makers they sit in the office, but also hope that all citizens can enjoy such benefits to ensure the safety of more people. For example, when you go on business, Baidu will notify you in advance on your mobile phone. You are going to the area where there are food safety issues. For example, the first time you are informed that there is a large influx of people in your area with influenza. Timely prevention and vaccination and so on.

In this regard, I think not far away, I believe in the near future can do it.

Conclusion: Prior to the Ministry of Communications and Baidu's cooperation, coupled with the current CDC and Baidu's cooperation let us see the big data generated by the Internet has entered the national policy-making level. The government of the future will also rely more on the support of these big data for decision-making, and we will also use these shared and open data together for our own use.