Published on in Vol 4, No 1 (2018): Jan-Mar

Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis

Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis

Accurate Influenza Monitoring and Forecasting Using Novel Internet Data Streams: A Case Study in the Boston Metropolis

Fred Sun Lu   1 , AB ;   Suqin Hou   2 , MS ;   Kristin Baltrusaitis   3 , MS ;   Manan Shah   4 ;   Jure Leskovec   4, 5 , PhD ;   Rok Sosic   4 , PhD ;   Jared Hawkins   1, 6 , MMSc, PhD ;   John Brownstein   1, 6 , PhD ;   Giuseppe Conidi   7 , MPH ;   Julia Gunn   7 , RN, MPH ;   Josh Gray   8 , MBA ;   Anna Zink   8 , BA ;   Mauricio Santillana   1, 6 , MS, PhD

1 Computational Health Informatics Program, Boston Children’s Hospital, Boston, MA, United States

2 Harvard Chan School of Public Health, Harvard University, Boston, MA, United States

3 Department of Biostatistics, Boston University School of Public Health, Boston, MA, United States

4 Computer Science Department, Stanford University, Stanford, CA, United States

5 Chan Zuckerberg Biohub, San Francisco, CA, United States

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

7 Boston Public Health Commission, Boston, MA, United States

8 athenaResearch, athenahealth, Watertown, MA, United States

Corresponding Author:

  • Mauricio Santillana, MS, PhD
  • Computational Health Informatics Program
  • Boston Children’s Hospital
  • 1 Autumn St
  • Boston, MA, 02215
  • United States
  • Phone: 1 617-919-1795
  • Email: msantill@fas.harvard.edu