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

Special Issue (2017) "Mining Online Health Reports" (Guest Editor: Collier, Cox, Limsopatham, Lampos, Culotta, Conway) (5) Infodemiology and Infoveillance (1005) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1273) Infectious Diseases (non-STD/STI) (1224) Influenza and Influenza-Like-Illness (ILI) Surveillance (86) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (822) Mass Media/Social Media Communication and Campaigns (401) Vaccination and Immunization in the Digital Age (263)

Published on in Vol 19 , No 12 (2017) :December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/8184, first published .
Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content

Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content

Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content

Authors of this article:

Moritz Wagner 1, 2, 3 Author Orcid Image ;   Vasileios Lampos 4 Author Orcid Image ;   Elad Yom-Tov 5 Author Orcid Image ;   Richard Pebody 3 Author Orcid Image ;   Ingemar J Cox 4, 6 Author Orcid Image
Article Authors Cited by (11) Tweetations (25) Metrics
Moritz Wagner 1, 2, 3 * , MMath ;   Vasileios Lampos 4 * , MSc, PhD ;   Elad Yom-Tov 5 , BSc, MSc, PhD ;   Richard Pebody 3 , MBChB, PhD ;   Ingemar J Cox 4, 6 , BSc, PhD

1 Malawi Epidemiology and Intervention Research Unit , London School of Hygiene and Tropical Medicine , London , GB

2 University College London , London , GB

3 Public Health England , London , GB

4 Department of Computer Science , University College London , London , GB

5 Microsoft Research , Herzliya , IL

6 Department of Computer Science , University of Copenhagen , Copenhagen , DK

*these authors contributed equally

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