Characterizing and discovering spatiotemporal social contact patterns for healthcare
During an epidemic, the spatial, temporal and demographic patterns of disease transmission
are determined by multiple factors. In addition to the physiological properties of the …
are determined by multiple factors. In addition to the physiological properties of the …
Revealing latent factors of temporal networks for mesoscale intervention in epidemic spread
The customary perspective to reason about epidemic mitigation in temporal networks hinges
on the identification of nodes with specific features or network roles. The ensuing individual …
on the identification of nodes with specific features or network roles. The ensuing individual …
Stelar: Spatio-temporal tensor factorization with latent epidemiological regularization
Accurate prediction of the transmission of epidemic diseases such as COVID-19 is crucial for
implementing effective mitigation measures. In this work, we develop a tensor method to …
implementing effective mitigation measures. In this work, we develop a tensor method to …
Estimating the outcome of spreading processes on networks with incomplete information: A dimensionality reduction approach
Recent advances in data collection have facilitated the access to time-resolved human
proximity data that can conveniently be represented as temporal networks of contacts …
proximity data that can conveniently be represented as temporal networks of contacts …
Evaluating the dynamic interplay of social distancing policies regarding airborne pathogens through a temporal interaction-driven model that uses real-world and …
Abstract Objective: The recent SARS-CoV-2 pandemic has exhibited diverse patterns of
spread across countries and communities, emphasizing the need to consider the underlying …
spread across countries and communities, emphasizing the need to consider the underlying …
Tensor decomposition for infectious disease incidence data
H Korevaar, CJ Metcalf… - Methods in ecology and …, 2020 - Wiley Online Library
Many demographic and ecological processes generate seasonal and other periodicities.
Seasonality in infectious disease transmission can result from climatic forces such as …
Seasonality in infectious disease transmission can result from climatic forces such as …
Epidemic spreading in trajectory networks
Epidemics of infectious diseases, such as the one caused by the rapid spread of the
coronavirus disease 2019 (COVID-19), have tested the world's more advanced health …
coronavirus disease 2019 (COVID-19), have tested the world's more advanced health …
COVID-19 dynamics across the US: A deep learning study of human mobility and social behavior
This paper presents a deep learning framework for epidemiology system identification from
noisy and sparse observations with quantified uncertainty. The proposed approach employs …
noisy and sparse observations with quantified uncertainty. The proposed approach employs …
Multitype branching and graph product theory of infectious disease outbreaks
A Vazquez - Physical Review E, 2021 - APS
The heterogeneity of human populations is a challenge to mathematical descriptions of
epidemic outbreaks. Numerical simulations are deployed to account for the many factors …
epidemic outbreaks. Numerical simulations are deployed to account for the many factors …
Dimensionality reduction in epidemic spreading models
Complex dynamical systems often exhibit collective dynamics that are well described by a
reduced set of key variables in a low-dimensional space. Such a low-dimensional …
reduced set of key variables in a low-dimensional space. Such a low-dimensional …