Networks and the epidemiology of infectious disease
The science of networks has revolutionised research into the dynamics of interacting
elements. It could be argued that epidemiology in particular has embraced the potential of …
elements. It could be argued that epidemiology in particular has embraced the potential of …
Network structure inference, a survey: Motivations, methods, and applications
Networks represent relationships between entities in many complex systems, spanning from
online social interactions to biological cell development and brain connectivity. In many …
online social interactions to biological cell development and brain connectivity. In many …
Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions
INTRODUCTION When faced with the outbreak of a novel epidemic such as coronavirus
disease 2019 (COVID-19), rapid response measures are required by individuals, as well as …
disease 2019 (COVID-19), rapid response measures are required by individuals, as well as …
[图书][B] Statistical analysis of network data with R
ED Kolaczyk, G Csárdi - 2014 - Springer
Networks and network analysis are arguably one of the largest growth areas of the early
twenty-first century in the quantitative sciences. Despite roots in social network analysis …
twenty-first century in the quantitative sciences. Despite roots in social network analysis …
Network theory and SARS: predicting outbreak diversity
Many infectious diseases spread through populations via the networks formed by physical
contacts among individuals. The patterns of these contacts tend to be highly heterogeneous …
contacts among individuals. The patterns of these contacts tend to be highly heterogeneous …
Contact network epidemiology: Bond percolation applied to infectious disease prediction and control
L Meyers - Bulletin of the American Mathematical Society, 2007 - ams.org
Mathematics has long been an important tool in infectious disease epidemiology. I will
provide a brief overview of compartmental models, the dominant framework for modeling …
provide a brief overview of compartmental models, the dominant framework for modeling …
[PDF][PDF] Research article summary: Inferring COVID-19 spreading rates and potential change points for case number forecasts
Results. In Germany, political interventions to contain the outbreak were implemented in
three steps over three weeks: Around March 9, large public events like soccer matches were …
three steps over three weeks: Around March 9, large public events like soccer matches were …
A tutorial introduction to Bayesian inference for stochastic epidemic models using Approximate Bayesian Computation
Likelihood-based inference for disease outbreak data can be very challenging due to the
inherent dependence of the data and the fact that they are usually incomplete. In this paper …
inherent dependence of the data and the fact that they are usually incomplete. In this paper …
Modeling and pricing cyber insurance: Idiosyncratic, systematic, and systemic risks
K Awiszus, T Knispel, I Penner, G Svindland… - European Actuarial …, 2023 - Springer
The paper provides a comprehensive overview of modeling and pricing cyber insurance and
includes clear and easily understandable explanations of the underlying mathematical …
includes clear and easily understandable explanations of the underlying mathematical …
Epidemic models on social networks—With inference
T Britton - Statistica Neerlandica, 2020 - Wiley Online Library
This article considers stochastic models for the spread of an infection in a structured
community, where this structured community is itself described by a random network model …
community, where this structured community is itself described by a random network model …