Data and Code for Prediction of the COVID-19 Epidemic Trends Based on SEIR and AI Models

Data and Code for Prediction of the COVID-19 Epidemic Trends Based on SEIR and AI Models.Data include the number of confirmed cases of COVID-19, local population density, capital GDP, distance to Wuhan, average annual temperature, average annual rainfall of Chinese provinces (Except for Hong Kong, Macao and Taiwan) and migration population in Wuhan. Code include SEIR, DNN, RNN for prediction.基于SEIR模型与人工智能（Artificial Intelligence）的COVID-19疫情趋势预测数据及代码。数据集涵盖中国各省（香港、澳门、台湾地区除外）的COVID-19确诊病例数、本地人口密度、省会城市GDP、至武汉的距离、年平均气温、年平均降水量，以及武汉的迁入人口规模。配套代码包含用于疫情趋势预测的SEIR模型、深度神经网络（Deep Neural Network, DNN）、循环神经网络（Recurrent Neural Network, RNN）。