This paper is in the following e-collection/theme issue:

Infodemiology and Infoveillance (1455) Infectious Diseases (non-STD/STI) (1657) Influenza and Influenza-Like-Illness (ILI) Surveillance (225) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1087)

Published on in Vol 18, No 7 (2016): July

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea

Authors of this article:

Hyekyung Woo1 Author Orcid Image ;   Youngtae Cho1 Author Orcid Image ;   Eunyoung Shim1 Author Orcid Image ;   Jong-Koo Lee2 Author Orcid Image ;   Chang-Gun Lee3 Author Orcid Image ;   Seong Hwan Kim4 Author Orcid Image
Article Authors Cited by (64) Tweetations (5) Metrics

Hyekyung Woo   1 , MPH, PhD ;   Youngtae Cho   1 , PhD ;   Eunyoung Shim   1 , MPH, PhD ;   Jong-Koo Lee   2 , MD, PhD ;   Chang-Gun Lee   3 , PhD ;   Seong Hwan Kim   4 , PhD (Eng)

1 Department of Health Science and Service, School of Public Health, Seoul National University, Seoul, Republic of Korea

2 Global Medical Center, School of Medicine, Seoul National University, Seoul, Republic of Korea

3 Real-time Ubiquitous System Laboratory, Department of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea

4 Search SU, Datamining Team, Daum Kakao Incorporated, Seoul, Republic of Korea

Corresponding Author:

  • Youngtae Cho, PhD
  • Department of Health Science and Service
  • School of Public Health
  • Seoul National University
  • 1 Kwanakro
  • Kwanakgu
  • Seoul, 151-172
  • Republic of Korea
  • Phone: 82 10-7135-4610
  • Fax: 82 2-762-9105
  • Email: youngtae@snu.ac.kr