A Bayesian model for multi-feature contact matrices that uses tensor structures and contingency table theory to satisfy structural constraints and impute missing contact features, validated on simulations and US/German survey data.
Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
5 Pith papers cite this work. Polarity classification is still indexing.
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A stratification method adds socio-demographic factors to age contact matrices for epidemic models, substantially altering reproduction numbers and final sizes in projections for New Zealand's age-ethnic structure.
Embedding selection mechanisms into generative simulators enables amortized Bayesian inference to produce debiased, well-calibrated posteriors without tractable likelihoods.
A Dutch population-scale actor model on registry-derived contact networks shows western urban municipalities as key drivers of novel respiratory pathogen spread and quantifies effects of symptomatic isolation and travel restrictions.
A review of data sources, uncertainty incorporation methods, and open challenges in constructing contact matrices for infectious disease epidemiology.
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Constructing Contact and Connectivity Matrices for Infectious Disease Modelling
A review of data sources, uncertainty incorporation methods, and open challenges in constructing contact matrices for infectious disease epidemiology.