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Contact networks between individuals fundamentally shape the course of disease outbreaks, modulating both the risk and speed of outbreak emergence. To understand these risks in a real world population, one must first construct an empirically derived contact network model. However, integrating empirical data with network models of infectious disease spread provides many challenges. Novel data streams and estimation methods offer potential avenues to overcome these challenges, but have brought about new issues, such as balancing big data complexity with simplistic and generalizable disease predictions. Our satellite will focus on these challenges in utilizing empirical data in network epidemiology


Time Slot Description
14h15 Introduction -
14h16 Ewan Colman Ewan Colman Only time will tell: the things we learn from integrating temporal network data into disease models
14h28 Narimane Nekkab Narimane Nekkab Assessing the role of a patient transfer network in the spread of carbapenemase-producing Enterobacteriaceae: the case of France between 2012 and 2015
14h41 Laura Ozella Laura Ozella Animal social networks relevant to disease transmission among free-roaming dogs in Chad
14h54 Samuel Jenness Samuel Jenness Validation of Network Data for Dynamic Network Models of HIV/STI Transmission
15h07 Michele Tizzoni Michele Tizzoni Measuring household contacts in Africa with wearable proximity sensors: recent progresses and challenges
15h20 Trevor Farthing Trevor Farthing Infected by Friend or Foe? Analyzing Empirical Contact Networks in Feedlot Cattle to Illuminate Effects of Social Structure on Transmission Dynamics
15h27 Grant Rosensteel Grant Rosensteel Defining an Epidemiological Geography of the United States Using Time Series Similarity Networks
15h34 Kelsey Spence Kelsey Spence Using longitudinal questionnaire data to create networks of horse movements in Ontario, Canada
15h41 Pietro Coletti Pietro Coletti Regular school closure & influenza epidemics: a data-driven spatial transmission model for Belgium
15h48 Sophie Meakin Sophie Meakin Correlations between stochastic epidemics in interacting populations
15h55 Dr. Meggan Craft Infectious disease dynamics on wild animal contact networks
16h20 Break
16h45 Dr. Cristina Lanzas Dynamic high resolution networks for disease transmission
17h11 Casey Zipfel Casey Zipfel Infection-induced behavior change: impact on epidemiological prediction & inference
17h24 Rachael M. Milwid Rachael M. Milwid From network analysis to network models: comparing the epidemiological outcomes from 4 equine facilities in Ontario
17h37 Livio Bioglio Livio Bioglio Use of face-to-face interactions data for increasing realism in modeling epidemics
17h50 Abigail Jacobs Abigail Jacobs Geographic variability and diffusion in the opioid epidemic: Putting families in context
18h03 Dr. Simon Frost TBA

Invited Speakers


March 16, 2018 (Extended to March 23): Satellite abstract submission deadline

April 02, 2018: Acceptance Notifications

May, 2018: NetSci2018 early Registration deadline

June 12, 2018: Satellite Symposium

Network Epidemiology

Network epidemiology is a rapidly growing network science field. This year at the NetSci there will be 4 complementary half day network epidemiology satellite symposia. The other satellites can be found by following these links:




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