PHDL Seminar

Real-Time Social Internet Data to Guide Disease Forecasting Models



Date
September 11, 2017
Time
12:00 PM - 1:00 PM
Speaker(s)
Sara Del Valle, PhD
Scientist, Los Alamos National Laboratory, Information Systems & Modeling
Location
Pitt Public Health, A521 Crabtree Hall
Category
Pitt Public Health
Contact
Sharon Crow
Project Coordinator


412-624-5438
swc3@pitt.edu
Description

Globalization has created complex problems that can no longer be adequately forecasted and mitigated using traditional data analysis techniques and data sources. Disease spread is a major health concern around the world and is compounded by the increasing globalization of our society. As such, epidemiological modeling approaches need to account for rapid changes in human behavior and community perceptions. Social media has recently played a crucial role in informing and changing the response of people to the spread of infectious diseases. Recent events, such as the 2014-2015 Ebola epidemic and the 2015-2016 Zika virus epidemic, have highlighted the importance of reliable disease forecasting for decision support. This talk will discuss a framework that combines clinical surveillance data with social Internet data and mathematical models to provide probabilistic forecasts of disease incidence and will demonstrate the value of Internet data and the real-time utility of our approach.