Infectious Disease Modelling, Journal Year: 2024, Volume and Issue: 10(1), P. 302 - 324
Published: Nov. 12, 2024
Human behaviour significantly affects the dynamics of infectious disease transmission as people adjust their behavior in response to outbreak intensity, thereby impacting spread and control efforts. In recent years, there have been efforts incorporate behavioural change into spatio-temporal individual-level models within a Bayesian MCMC framework. this past work, parametric spatial risk functions were employed, depending on strong underlying assumptions regarding mechanisms population. However, selecting appropriate can be challenging real-world scenarios, incorrect may lead erroneous conclusions. As an alternative, non-parametric approaches offer greater flexibility. The goal study is investigate utilization semi-parametric for transmission, integrating "alarm function" account based infection prevalence over time paper, we discuss findings from both simulated real-life epidemics, focusing constant piecewise distance with fixed points. We also demonstrate selection points using Deviance Information Criteria (DIC).
Language: Английский