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Accepted for/Published in: Journal of Medical Internet Research

Date Submitted: Jun 15, 2017
Date Accepted: Oct 2, 2017
(closed for review but you can still tweet)

The final, peer-reviewed published version of this preprint can be found here:

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

Wagner M, Lampos V, Yom-Tov E, Pebody R, Cox IJ

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

J Med Internet Res 2017;19(12):e416

DOI: 10.2196/jmir.8184

PMID: 29269339

PMCID: 6257312

Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.

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

  • Moritz Wagner; 
  • Vasileios Lampos; 
  • Elad Yom-Tov; 
  • Richard Pebody; 
  • Ingemar J Cox

Background:

The rollout of a new childhood live attenuated influenza vaccine program was launched in England in 2013, which consisted of a national campaign for all 2 and 3 year olds and several pilot locations offering the vaccine to primary school-age children (4-11 years of age) during the influenza season. The 2014/2015 influenza season saw the national program extended to include additional pilot regions, some of which offered the vaccine to secondary school children (11-13 years of age) as well.

Objective:

We utilized social media content to obtain a complementary assessment of the population impact of the programs that were launched in England during the 2013/2014 and 2014/2015 flu seasons. The overall community-wide impact on transmission in pilot areas was estimated for the different age groups that were targeted for vaccination.

Methods:

A previously developed statistical framework was applied, which consisted of a nonlinear regression model that was trained to infer influenza-like illness (ILI) rates from Twitter posts originating in pilot (school-age vaccinated) and control (unvaccinated) areas. The control areas were then used to estimate ILI rates in pilot areas, had the intervention not taken place. These predictions were compared with their corresponding Twitter-based ILI estimates.

Results:

Results suggest a reduction in ILI rates of 14% (1-25%) and 17% (2-30%) across all ages in only the primary school-age vaccine pilot areas during the 2013/2014 and 2014/2015 influenza seasons, respectively. No significant impact was observed in areas where two age cohorts of secondary school children were vaccinated.

Conclusions:

These findings corroborate independent assessments from traditional surveillance data, thereby supporting the ongoing rollout of the program to primary school-age children and providing evidence of the value of social media content as an additional syndromic surveillance tool.


 Citation

Please cite as:

Wagner M, Lampos V, Yom-Tov E, Pebody R, Cox IJ

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

J Med Internet Res 2017;19(12):e416

DOI: 10.2196/jmir.8184

PMID: 29269339

PMCID: 6257312

Per the author's request the PDF is not available.