Estimating the population impact of a new pediatric influenza vaccination program in England using social media content

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Estimating the population impact of a new pediatric influenza vaccination program in England using social media content. / Wagner, Moritz; Lampos, Vasileios; Yom-Tov, Elad; Pebody, Richard; Cox, Ingemar Johansson.

I: Journal of Medical Internet Research, Bind 19, Nr. 12, e416, 21.12.2017.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningfagfællebedømt

Harvard

Wagner, M, Lampos, V, Yom-Tov, E, Pebody, R & Cox, IJ 2017, 'Estimating the population impact of a new pediatric influenza vaccination program in England using social media content', Journal of Medical Internet Research, bind 19, nr. 12, e416. https://doi.org/10.2196/jmir.8184

APA

Wagner, M., Lampos, V., Yom-Tov, E., Pebody, R., & Cox, I. J. (2017). Estimating the population impact of a new pediatric influenza vaccination program in England using social media content. Journal of Medical Internet Research, 19(12), [e416]. https://doi.org/10.2196/jmir.8184

Vancouver

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. Journal of Medical Internet Research. 2017 dec 21;19(12). e416. https://doi.org/10.2196/jmir.8184

Author

Wagner, Moritz ; Lampos, Vasileios ; Yom-Tov, Elad ; Pebody, Richard ; Cox, Ingemar Johansson. / Estimating the population impact of a new pediatric influenza vaccination program in England using social media content. I: Journal of Medical Internet Research. 2017 ; Bind 19, Nr. 12.

Bibtex

@article{74cc2e7e607c45baa52eb9f925702592,
title = "Estimating the population impact of a new pediatric influenza vaccination program in England using social media content",
abstract = "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.",
keywords = "Health intervention, Influenza, Social media, Twitter, Vaccination",
author = "Moritz Wagner and Vasileios Lampos and Elad Yom-Tov and Richard Pebody and Cox, {Ingemar Johansson}",
year = "2017",
month = dec,
day = "21",
doi = "10.2196/jmir.8184",
language = "English",
volume = "19",
journal = "Journal of Medical Internet Research",
issn = "1439-4456",
publisher = "JMIR Publications",
number = "12",

}

RIS

TY - JOUR

T1 - Estimating the population impact of a new pediatric influenza vaccination program in England using social media content

AU - Wagner, Moritz

AU - Lampos, Vasileios

AU - Yom-Tov, Elad

AU - Pebody, Richard

AU - Cox, Ingemar Johansson

PY - 2017/12/21

Y1 - 2017/12/21

N2 - 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.

AB - 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.

KW - Health intervention

KW - Influenza

KW - Social media

KW - Twitter

KW - Vaccination

UR - http://www.scopus.com/inward/record.url?scp=85038945569&partnerID=8YFLogxK

U2 - 10.2196/jmir.8184

DO - 10.2196/jmir.8184

M3 - Journal article

C2 - 29269339

AN - SCOPUS:85038945569

VL - 19

JO - Journal of Medical Internet Research

JF - Journal of Medical Internet Research

SN - 1439-4456

IS - 12

M1 - e416

ER -

ID: 188266915