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Statistics and Modeling with Novel Data Streams
July 19 @ 11:00 am - July 21 @ 2:00 pm
This three-day program will feature Mauricio Santillana and be hosed by the University of Washington. It is the 12th module of the university’s 13th Annual Summer Institute in Statistics and Modeling in Infectious Diseases. A fee is required to attend and increases after the early registration period ends on June 18, 2021.
About this module:
This module focuses on digital data sources and novel data streams such as geo-localized population and mobility data, wearable devices, web participatory platforms and web search data or social media updates. We will provide an introduction to different digital data sources and technical challenges in their collection, storage, and analysis. We will review the integration of digital data sources with statistical and mechanistic modeling of infectious diseases. The course will provide an introduction to the use of novel data streams time series for epidemic forecasting. We will describe the construction of synthetic populations and the calibration of highly detailed individual based models.
This module assumes knowledge of the material in Module 1: Probability and Statistical Inference, though not necessarily from taking that module. This module assumes knowledge of the material in Module 2: Mathematical Models of Infectious Diseases, though not necessarily from taking that module. Familiarity with a programming language is expected (Python, R, Matlab or other).
About the full program:
The Summer Institute in Statistics and Modeling in Infectious Diseases (SISMID) is designed to introduce infectious disease researchers to modern methods of statistical analysis and mathematical modeling and to introduce statisticians and mathematical modelers to the statistical and dynamic problems posed by modern infectious disease data. M. Elizabeth Halloran serves as the Director of SISMID. Most participants take two-to-three modules of this program, each of which is two-and-a-half days long, and receive a certificate of completion at the end.