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

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Estimating vaccination uptake is an integral part of ensuring public
health. It was recently shown that vaccination uptake can be
estimated automatically from web data, instead of slowly collected
clinical records or population surveys [2]. All prior work in this
area assumes that features of vaccination uptake collected from
the web are temporally regular. We present the first ever method
to remove this assumption from vaccination uptake estimation:
our method dynamically adapts to temporal fluctuations in time
series web data used to estimate vaccination uptake. We show
our method to outperform the state of the art compared to
competitive baselines that use not only web data but also curated
clinical data. This performance improvement is more pronounced
for vaccines whose uptake has been irregular due to negative
media attention (HPV-1 and HPV-2), problems in vaccine supply
(DiTeKiPol), and targeted at children of 12 years old (whose
vaccination is more irregular compared to younger children).
Original languageEnglish
Title of host publicationProceedings of the 26th International Conference on World Wide Web Companion
PublisherInternational World Wide Web Conferences Steering Committee
Publication date2017
ISBN (Print)978-1-4503-4914-7
Publication statusPublished - 2017
Event26th International Conference on World Wide Web Companion - Perth, Australia
Duration: 3 Apr 20177 Apr 2017


Conference26th International Conference on World Wide Web Companion

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ID: 197766822