Deep learning models for hepatitis E incidence prediction leveraging Baidu index.

Background: Infectious diseases are major medical and social challenges of the 21 century. Accurately predicting incidence is of great significance for public health organizations to prevent the spread of diseases. Internet search engine data, like Baidu search index, may be useful for analyzing epidemics and improving prediction.

Deep learning models for hepatitis E incidence prediction leveraging meteorological factors.

Background: Infectious diseases are a major threat to public health, causing serious medical consumption and casualties. Accurate prediction of infectious diseases incidence is of great significance for public health organizations to prevent the spread of diseases. However, only using historical incidence data for prediction can not get good results.