Sensitivity analysis of disease-information coupling propagation dynamics model parameters

• Published in: PloS one Vol. 17; no. 3; p. e0265273
• Main Authors: Yang, Yang, Liu, Haiyan
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 25.03.2022; Public Library of Science (PLoS)
• Subjects: Algorithms; Care and treatment; Communicable diseases; Communicable Diseases - epidemiology; Computer and Information Sciences; Coupling; Density; Diagnosis; Disease control; Disease transmission; Dynamics; Epidemics; Humans; Infectious diseases; Information Dissemination; Interaction parameters; Mathematical models; Medicine and Health Sciences; Methods; Modelling; Nodes; Parameter identification; Parameter sensitivity; Physical Sciences; Prevention; Probability; Propagation; Quantitative analysis; Random variables; Recovery; Research and Analysis Methods; Risk factors; Sensitivity analysis; Stochastic models; China; Beijing China

The disease-information coupling propagation dynamics model is a widely used model for studying the spread of infectious diseases in society, but the parameter settings and sensitivity are often overlooked, which leads to enlarged errors in the results. Exploring the influencing factors of the disea...