Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries. / Dalum Hansen, Niels; Mølbak, Kåre; Cox, Ingemar J.; Lioma, Christina.

Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee, 2017. s. 773-774.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Dalum Hansen, N, Mølbak, K, Cox, IJ & Lioma, C 2017, Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries. i Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee, s. 773-774, 26th International Conference on World Wide Web Companion, Perth, Australien, 03/04/2017. https://doi.org/10.1145/3041021.3054251

APA

Dalum Hansen, N., Mølbak, K., Cox, I. J., & Lioma, C. (2017). Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries. I Proceedings of the 26th International Conference on World Wide Web Companion (s. 773-774). International World Wide Web Conferences Steering Committee. https://doi.org/10.1145/3041021.3054251

Vancouver

Dalum Hansen N, Mølbak K, Cox IJ, Lioma C. Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries. I Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee. 2017. s. 773-774 https://doi.org/10.1145/3041021.3054251

Author

Dalum Hansen, Niels ; Mølbak, Kåre ; Cox, Ingemar J. ; Lioma, Christina. / Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries. Proceedings of the 26th International Conference on World Wide Web Companion. International World Wide Web Conferences Steering Committee, 2017. s. 773-774

Bibtex

@inproceedings{36e12e1bee0747688bd2684271b5d141,
title = "Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries",
abstract = "Estimating vaccination uptake is an integral part of ensuring publichealth. It was recently shown that vaccination uptake can beestimated automatically from web data, instead of slowly collectedclinical records or population surveys [2]. All prior work in thisarea assumes that features of vaccination uptake collected fromthe web are temporally regular. We present the first ever methodto remove this assumption from vaccination uptake estimation:our method dynamically adapts to temporal fluctuations in timeseries web data used to estimate vaccination uptake. We showour method to outperform the state of the art compared tocompetitive baselines that use not only web data but also curatedclinical data. This performance improvement is more pronouncedfor vaccines whose uptake has been irregular due to negativemedia attention (HPV-1 and HPV-2), problems in vaccine supply(DiTeKiPol), and targeted at children of 12 years old (whosevaccination is more irregular compared to younger children).",
author = "{Dalum Hansen}, Niels and K{\aa}re M{\o}lbak and Cox, {Ingemar J.} and Christina Lioma",
year = "2017",
doi = "10.1145/3041021.3054251",
language = "English",
isbn = "978-1-4503-4914-7",
pages = "773--774",
booktitle = "Proceedings of the 26th International Conference on World Wide Web Companion",
publisher = "International World Wide Web Conferences Steering Committee",

}

RIS

TY - GEN

T1 - Time-Series Adaptive Estimation of Vaccination Uptake Using Web Search Queries

AU - Dalum Hansen, Niels

AU - Mølbak, Kåre

AU - Cox, Ingemar J.

AU - Lioma, Christina

PY - 2017

Y1 - 2017

N2 - Estimating vaccination uptake is an integral part of ensuring publichealth. It was recently shown that vaccination uptake can beestimated automatically from web data, instead of slowly collectedclinical records or population surveys [2]. All prior work in thisarea assumes that features of vaccination uptake collected fromthe web are temporally regular. We present the first ever methodto remove this assumption from vaccination uptake estimation:our method dynamically adapts to temporal fluctuations in timeseries web data used to estimate vaccination uptake. We showour method to outperform the state of the art compared tocompetitive baselines that use not only web data but also curatedclinical data. This performance improvement is more pronouncedfor vaccines whose uptake has been irregular due to negativemedia attention (HPV-1 and HPV-2), problems in vaccine supply(DiTeKiPol), and targeted at children of 12 years old (whosevaccination is more irregular compared to younger children).

AB - Estimating vaccination uptake is an integral part of ensuring publichealth. It was recently shown that vaccination uptake can beestimated automatically from web data, instead of slowly collectedclinical records or population surveys [2]. All prior work in thisarea assumes that features of vaccination uptake collected fromthe web are temporally regular. We present the first ever methodto remove this assumption from vaccination uptake estimation:our method dynamically adapts to temporal fluctuations in timeseries web data used to estimate vaccination uptake. We showour method to outperform the state of the art compared tocompetitive baselines that use not only web data but also curatedclinical data. This performance improvement is more pronouncedfor vaccines whose uptake has been irregular due to negativemedia attention (HPV-1 and HPV-2), problems in vaccine supply(DiTeKiPol), and targeted at children of 12 years old (whosevaccination is more irregular compared to younger children).

U2 - 10.1145/3041021.3054251

DO - 10.1145/3041021.3054251

M3 - Article in proceedings

SN - 978-1-4503-4914-7

SP - 773

EP - 774

BT - Proceedings of the 26th International Conference on World Wide Web Companion

PB - International World Wide Web Conferences Steering Committee

ER -

ID: 197766822