Published on in Vol 16, No 10 (2014): October

A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives

A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives

A Case Study of the New York City 2012-2013 Influenza Season With Daily Geocoded Twitter Data From Temporal and Spatiotemporal Perspectives

Ruchit Nagar   1, 2 ;   Qingyu Yuan   1, 3 , PhD ;   Clark C Freifeld   4 , PhD ;   Mauricio Santillana   1, 5, 6 , PhD ;   Aaron Nojima   1, 7 ;   Rumi Chunara   1, 8 , PhD ;   John S Brownstein   1, 6, 8 , PhD

1 Children's Hospital Informatics Program, Boston Children's Hospital, Boston, MA, United States

2 Yale University, New Haven, CT, United States

3 Management School, University of Chinese Academy of Sciences, Beijing, China

4 Boston University, Biomedical Engineering Department, Boston, MA, United States

5 Harvard University, School of Engineering and Applied Sciences, Cambridge, MA, United States

6 Harvard University, School of Public Health, Boston, MA, United States

7 Massachusetts Institute of Technology, Cambridge, MA, United States

8 Department of Pediatrics, Harvard Medical School, Boston, MA, United States

Corresponding Author:

  • Ruchit Nagar
  • Children's Hospital Informatics Program
  • Boston Children's Hospital
  • 1 Autumn Street
  • Boston, MA
  • United States
  • Phone: 1 2817258062
  • Fax: 1 6177300267
  • Email: ruchit.nagar@yale.edu