Propagation analysis and prediction of the COVID-19
Lixiang Li, Zihang Yang, Zhongkai Dang, Meng Cui, Jingze Huang, Haotian Meng, Deyu Wang, Guanhua Chen, Jiaxuan Zhang, Haipeng Peng, Yiming Shao
Abstract
Based on the official data modeling, this paper studies the transmission process of the Corona Virus Disease 2019 (COVID-19). The error between the model and the official data curve is quite small. At the same time, it realized forward prediction and backward inference of the epidemic situation, and the relevant analysis help relevant countries to make decisions.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)EconometricsInferenceSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Statistics2019-20 coronavirus outbreakTransmission (telecommunications)Process (computing)Computer scienceGeographyMathematicsArtificial intelligenceTelecommunicationsVirologyDiseaseInfectious disease (medical specialty)MedicineOutbreakOperating systemPathologyCOVID-19 epidemiological studiesCOVID-19 diagnosis using AISARS-CoV-2 and COVID-19 Research