On the Structure of Changes in Dynamic Contact Networks

2012 ◽  
Author(s):  
V. Neiger ◽  
C. Crespelle ◽  
E. Fleury
Keyword(s):  
Dynamic Contact ◽  
Contact Networks

scholarly journals Transmission on empirical dynamic contact networks is influenced by data processing decisions

Epidemics ◽  
2019 ◽  
Vol 26 ◽  
pp. 32-42 ◽  
Author(s):  
Daniel E. Dawson ◽  
Trevor S. Farthing ◽  
Michael W. Sanderson ◽  
Cristina Lanzas
Keyword(s):  
Data Processing ◽  
Dynamic Contact ◽  
Contact Networks

scholarly journals Automated identification of functional dynamic contact networks from X-ray crystallography

2013 ◽  
Vol 10 (9) ◽  
pp. 896-902 ◽  
Author(s):  
Henry van den Bedem ◽  
Gira Bhabha ◽  
Kun Yang ◽  
Peter E Wright ◽  
James S Fraser
Keyword(s):  
Dynamic Contact ◽  
Automated Identification ◽  
Contact Networks ◽  
X Ray ◽  
X Ray Crystallography

scholarly journals Correction for Volz and Meyers, Susceptible-infected-recovered epidemics in dynamic contact networks

2008 ◽  
Vol 275 (1653) ◽  
pp. 2898-2898
Author(s):  
Erik Volz ◽  
Lauren Ancel Meyers
Keyword(s):  
Dynamic Contact ◽  
Contact Networks ◽  
Related Article ◽  
Link Type ◽  
Article Type

Correction for ‘Susceptible-infected-recovered epidemics in dynamic contact networks’ by Erik Volz and Lauren Ancel Meyers (Proc. R. Soc. B 274 , 2925–2933. (doi: 10.1098/rspb.2007.1159 )). On p. 2928, equations (2.17), (2.18) and table 4 were presented incorrectly.

scholarly journals Individual-based approach to epidemic processes on arbitrary dynamic contact networks

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Luis E. C. Rocha ◽  
Naoki Masuda
Keyword(s):  
Dynamic Contact ◽  
Contact Networks

scholarly journals Pruning Digital Contact Networks for Meso-scale Epidemic Surveillance Using Foursquare Data

2021 ◽  
Author(s):  
Sofia Hurtado ◽  
Radu Marculescu ◽  
Justin A. Drake ◽  
Ravi Srinivasan
Keyword(s):  
New York ◽  
Human Mobility ◽  
Smart Phone ◽  
Population Level ◽  
Dynamic Contact ◽  
Contact Tracing ◽  
Contact Networks ◽  
Individual Level ◽  
The Individual ◽  
Meso Scale

AbstractWith the recent boom in human sensing, the push to incorporate human mobility tracking with epidemic modeling highlights the lack of groundwork at the meso-scale (e.g., city-level) for both contact tracing and transmission dynamics. Although GPS data has been used to study city-level outbreaks, current approaches fail to capture the path of infection at the individual level. Consequently, in this paper, we extend the usefulness of epidemics prediction from estimating the size of an outbreak at the population level to estimating the individuals who may likely get infected within a finite period of time. To this end, we propose a network-based method to first build and then prune the dynamic contact networks for recurring interactions; these networks can serve as the backbone topology for mechanistic epidemics modeling. We test our method using Foursquare’s Points of Interest (POI) smart-phone geolocation data from over 1.3 million devices and show that we can recreate the COVID-19 infection curves for two major (yet very different) US cities (i.e., Austin and New York City) while maintaining the granularity of individual transmissions and reducing model uncertainty. Our method provides a foundation for building a disease prediction framework at the meso-scale that can help both policy makers and individuals of their estimated state of health and help with pandemic planning.

Dynamic contact networks of swine movement in Manitoba, Canada: Characterization and implications for infectious disease spread

2019 ◽  
Vol 66 (5) ◽  
pp. 1910-1919 ◽  
Author(s):  
Carolyn Augusta ◽  
Graham W. Taylor ◽  
Rob Deardon
Keyword(s):  
Infectious Disease ◽  
Dynamic Contact ◽  
Disease Spread ◽  
Contact Networks

scholarly journals Susceptible–infected–recovered epidemics in dynamic contact networks

2007 ◽  
Vol 274 (1628) ◽  
pp. 2925-2934 ◽  
Author(s):  
Erik Volz ◽  
Lauren Ancel Meyers
Keyword(s):  
Dynamic Contact ◽  
Contact Networks

scholarly journals Dynamic contact networks of patients and MRSA spread in hospitals

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Luis E. C. Rocha ◽  
Vikramjit Singh ◽  
Markus Esch ◽  
Tom Lenaerts ◽  
Fredrik Liljeros ◽  
...  
Keyword(s):  
Dynamic Contact ◽  
Contact Networks
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