Cargando…
Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content
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 influe...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6257312/ https://www.ncbi.nlm.nih.gov/pubmed/29269339 http://dx.doi.org/10.2196/jmir.8184 |
_version_ | 1783374297378586624 |
---|---|
author | Wagner, Moritz Lampos, Vasileios Yom-Tov, Elad Pebody, Richard Cox, Ingemar J |
author_facet | Wagner, Moritz Lampos, Vasileios Yom-Tov, Elad Pebody, Richard Cox, Ingemar J |
author_sort | Wagner, Moritz |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6257312 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-62573122018-12-28 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 J J Med Internet Res Original Paper 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. JMIR Publications 2017-12-21 /pmc/articles/PMC6257312/ /pubmed/29269339 http://dx.doi.org/10.2196/jmir.8184 Text en ©Moritz Wagner, Vasileios Lampos, Elad Yom-Tov, Richard Pebody, Ingemar J Cox. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 21.12.2017. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Wagner, Moritz Lampos, Vasileios Yom-Tov, Elad Pebody, Richard Cox, Ingemar J Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content |
title | Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content |
title_full | Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content |
title_fullStr | Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content |
title_full_unstemmed | Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content |
title_short | Estimating the Population Impact of a New Pediatric Influenza Vaccination Program in England Using Social Media Content |
title_sort | estimating the population impact of a new pediatric influenza vaccination program in england using social media content |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6257312/ https://www.ncbi.nlm.nih.gov/pubmed/29269339 http://dx.doi.org/10.2196/jmir.8184 |
work_keys_str_mv | AT wagnermoritz estimatingthepopulationimpactofanewpediatricinfluenzavaccinationprograminenglandusingsocialmediacontent AT lamposvasileios estimatingthepopulationimpactofanewpediatricinfluenzavaccinationprograminenglandusingsocialmediacontent AT yomtovelad estimatingthepopulationimpactofanewpediatricinfluenzavaccinationprograminenglandusingsocialmediacontent AT pebodyrichard estimatingthepopulationimpactofanewpediatricinfluenzavaccinationprograminenglandusingsocialmediacontent AT coxingemarj estimatingthepopulationimpactofanewpediatricinfluenzavaccinationprograminenglandusingsocialmediacontent |