The response to Covid-19 and preventing future pandemics has brought an intense focus on the collection, aggregation and analysis of large data sets. Linking genomes with vaccine status, clinical data with consumer and mobility data, wastewater-based epidemiology with internet searches--the list is long and evolving. The integration of these data have both improved basic scientific understanding of epidemiology and also informed public health decision making during the pandemic. However, the use of data from communities and individuals to guide public health decisions has raised challenges throughout history and across pandemics--from HIV to tuberculosis to Ebola. The future use of "big data" to predict and contain outbreaks is no exception, and raises yet more issues which must be addressed for global early warning systems to be a reality. In this talk, I will discuss how the Rockefeller Foundation's Pandemic Prevention Institute is building a collaborative, global network that will ensure data are translated into public health action and pathogen containment.

Speaker

Samuel V. Scarpino, PhD
Managing Director, Pathogen Surveillance, The Rockefeller Foundation
External Faculty, Santa Fe Institute Vermont Complex Systems Center
Affiliate Assistant Professor, Northeastern University
Co-Founder, Global.health

When

February 22, 2022
2PM ET

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