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 (1274) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Infectious Diseases (non-STD/STI) (1485) Influenza and Influenza-Like-Illness (ILI) Surveillance (203) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1013) Mass Media/Social Media Communication and Campaigns (448) Vaccination and Immunization in the Digital Age (346)

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 Wagner1, 2, 3 Author Orcid Image ;   Vasileios Lampos4 Author Orcid Image ;   Elad Yom-Tov5 Author Orcid Image ;   Richard Pebody1 Author Orcid Image ;   Ingemar J Cox4, 6 Author Orcid Image
Article Authors Cited by (12) Tweetations (25) Metrics

Moritz Wagner   1, 2, 3 * , MMath ;   Vasileios Lampos   4 * , MSc, PhD ;   Elad Yom-Tov   5 , BSc, MSc, PhD ;   Richard Pebody   1 , MBChB, PhD ;   Ingemar J Cox   4, 6 , BSc, PhD

1 Public Health England, London, United Kingdom

2 University College London, London, United Kingdom

3 Malawi Epidemiology and Intervention Research Unit, London School of Hygiene and Tropical Medicine, London, United Kingdom

4 Department of Computer Science, University College London, London, United Kingdom

5 Microsoft Research, Herzliya, Israel

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

*these authors contributed equally

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