iodine-netsci.github.io - Integration of empirical data in network epidemiology (iodine)

Description: Conference description

Example domain paragraphs

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 issue

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

April 02, 2018: Acceptance Notifications

Links to iodine-netsci.github.io (2)