*This is a remote viewing opportunity at VBI's CRC location.
Sam Scarpino of the Santa Fe Institute, will lead a discussion about Data Blindspots: High-tech Disease Surveillance Misses the Poor. This discussion is part of an ongoing series of talks targeted toward and given by members of the MISSION 2.0 (MIDAS Software Sharing and Information Outreach Network) group.
Title: Data Blindspots: High-tech Disease Surveillance Misses the Poor
Abstract: Individuals in low socioeconomic brackets are considered at-risk for developing influenza-related complications and exhibit higher than average influenza-related hospitalization rates. This disparity has been attributed to various factors, including poor access to preventative and therapeutic healthcare, limited sick leave, amd household structure. Adequate influenza surveillance in these at-risk populations is a critical precursor to accurate risk assessments and effective intervention. However, the United States of America's primary national influenza surveillance system (ILINet) monitors outpatient healthcare providers that may be largely inaccessible to lower socioeconomic populations. Recent initiatives to incorporate internet-source and hospital electronic medical records (EMR) data into surveillance systems seek to improve the timeliness, coverage, and accuracy of outbreak detection and situational awareness. Here, we use a flexible statistical framework for integrating multiple surveillance data sources to evaluate the adequacy of traditional (ILINet) and next generation (Biosense 2.0 and Google Flu Trends) data for situational awareness of influenza, across poverty levels. We find that zip codes in the highest poverty quartile are a critical blind-spot for ILINet that the integration of next generation data fails to ameliorate.
Videos of previous MISSON 2.0 Seminars and other materials are available at our YouTube channel at: