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.
SOCRATES: an online tool leveraging a social contact data sharing initiative to assess mitigation strategies for COVID-19
2 Pith papers cite this work, alongside 111 external citations. Polarity classification is still indexing.
2
Pith papers citing it
111
external citations · OpenAlex
years
2026 2verdicts
UNVERDICTED 2representative citing papers
A review of data sources, uncertainty incorporation methods, and open challenges in constructing contact matrices for infectious disease epidemiology.
citing papers explorer
-
Bayesian Modeling and Prediction of Generalized Contact Matrices
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.
-
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.