activity
20242026
collaborators

7 papers

physics.soc-ph2026

Integrating adaptive human behavior into epidemic models with large language models

Yicheng Mao, Haoyang Li, Rob Deardon +1

Infectious disease transmission is shaped by patterns of human interaction, which adapt as epidemic conditions change. Capturing these context-dependent behaviors remains a fundame…

stat.ME2026

Heterogeneous behavioral mechanisms in epidemiological models

Jessica Pavani, Rob Deardon, Alexandra M. Schmidt

Traditional epidemic models frequently assume behavioral homogeneity. The susceptible-infected-recovered model provides a robust foundation for characterizing disease transmission,…

stat.CO2026

Neural Posterior Estimation for Spatial Individual-Level Epidemic Models

Yicheng Mao, Rob Deardon

Spatial individual-level models (ILMs) provide a flexible framework for modeling infectious disease transmission across populations with known locations. Bayesian inference for the…

stat.AP2026

Hidden Markov Individual-level Models of Infectious Disease Transmission

Dirk Douwes-Schultz, Rob Deardon, Alexandra M. Schmidt

Individual-level epidemic models are increasingly being used to help understand the transmission dynamics of various infectious diseases. However, fitting such models to individual…

stat.AP2025

Bayesian compartmental modelling of MRSA transmission within hospitals in Edmonton, Canada

Ruoyu Li, Rob Deardon, Na Li +2

Methicillin-resistant Staphylococcus aureus (MRSA) is a bacterium that leads to severe infections in hospitalized patients. Previous epidemiological research has focused on MRSA tr…

stat.CO2024

Conditional logistic individual-level models of spatial infectious disease dynamics

Tahmina Akter, Rob Deardon

Here, we introduce a novel framework for modelling the spatiotemporal dynamics of disease spread known as conditional logistic individual-level models (CL-ILM's). This framework al…

stat.CO2024

Individual-level models of disease transmission incorporating piecewise spatial risk functions

Chinmoy Roy Rahul, Rob Deardon

Modelling epidemics is crucial for understanding the emergence, transmission, impact and control of diseases. Spatial individual-level models (ILMs) that account for population het…