The global epidemic forecasting system of Lanzhou University is based on the SIR epidemic model to forecast the epidemic situation. The global epidemic forecast system of Lanzhou University, the forecast data is still very accurate.
Global Epidemic Prediction System of Lanzhou University The global epidemic prediction system of Lanzhou University was successfully developed by Professor Huang Jianping, director of the Collaborative Innovation Center of the Western Ecological Security Department of Lanzhou University. The global epidemic forecasting system of Lanzhou University not only predicted the epidemic situation in China, but also predicted the epidemic situation in more than 90 countries around the world/kloc-0.
The global epidemic forecasting system of Lanzhou University is based on the SIR epidemic model, and the parameters are optimized to achieve the purpose of forecasting the epidemic. The global epidemic forecasting system of Lanzhou University is very close to the actual situation in Hebei. So the accuracy of this system is still very reliable.
The role of big data SIR infectious disease model is actually a very common infectious disease model, which has many variants. In fact, for the prediction of infectious diseases, if we can get enough real data, we can predict the epidemic trend. The difficulty here is the accuracy of big data.
If the data is not accurate enough, even if the model parameters are optimized, the trend predicted by the forecasting system is wrong.
Ladies and gentlemen, if you have any different views on the accuracy of the global epidemic prediction system of Lanzhou University, you can speak freely in the comments section.