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.

本数据集包含基于SEIR模型与人工智能（Artificial Intelligence, AI）模型的新冠疫情趋势预测相关数据与代码。其中数据涵盖中国各省（不含香港、澳门及台湾地区）的新冠确诊病例数、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迁出人口数据。代码部分包含用于疫情趋势预测的SEIR模型、深度神经网络（Deep Neural Network, DNN）与循环神经网络（Recurrent Neural Network, RNN）。