Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model.

Estimating fine age structure and time trends in human contact patterns from coarse contact data: The Bayesian rate consistency model.

Since the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), large-scale social contact surveys are now longitudinally measuring the fundamental changes in human interactions in the face of the pandemic and non-pharmaceutical interventions. Here, we present a model-based Baye...

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Bibliographic Details
Main Authors: Shozen Dan, Yu Chen, Yining Chen, Melodie Monod, Veronika K Jaeger, Samir Bhatt, André Karch, Oliver Ratmann, Machine Learning & Global Health network
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-06-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1011191

Internet

https://doi.org/10.1371/journal.pcbi.1011191

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