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, US

2 Yale University , New Haven, CT, US

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

4 Boston University, Biomedical Engineering Department , Boston, MA, US

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

6 Harvard University, School of Public Health , Boston, MA, US

7 Massachusetts Institute of Technology , Cambridge, MA, US

8 Department of Pediatrics, Harvard Medical School , Boston, MA, US

Corresponding Author: