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Opportunities and risks of big data in disease surveillance.

on YouTube 01h 19m
Talkat CPDP 2015 · 2015-01-21..01-23· [privacy-and-compliance, data-science]

speakers

name:Tim Eckmanns
links:none on file
name:Leon Hempel
links:none on file
name:Ciro Cattuto
links:none on file
name:Jennifer Cole
links:none on file
name:Martin French
links:none on file
name:Edward Velasco
links:none on file

resources

video:https://youtu.be/4ETK1F06j5g
slides:none on file

summary

Panel argues big data can shorten detection by days but often fails to give earlier warning in practice; examples include global pandemic models built from NASA/IATA mobility + stochastic SIR models (2009 H1N1 sometimes predicts arrival week), hospital proximity sensors that map contact networks for nosocomial outbreak control, and mining web searches/Wikipedia or HealthMap with machine learning/NLP. Airtel handing over mobile phone traces in Senegal enables rapid contact tracing; participatory platform reaches 50,000 volunteers. Major risks: reidentification, legal limits (GDPR tensions) and unresolved governance.

AI-written summary · about

chapters (6)

  1. 0:00Session introduction
  2. 3:34Organizational perspective
  3. 17:35Technological innovation
  4. 35:31Legal and ethical issues
  5. 49:45Sociological perspectives
  6. 1:03:14Panel discussion and Q&A

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