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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 automaticallyfrom web data, instead of slowly collected clinical records or populationsurveys. All prior work in this area assumes that features of vaccinationuptake collected from the web are temporally regular. We present the first evermethod to remove this assumption from vaccination uptake estimation: our methoddynamically adapts to temporal fluctuations in time series web data used toestimate vaccination uptake. We show our method to outperform the state of theart compared to competitive baselines that use not only web data but alsocurated clinical data. This performance improvement is more pronounced forvaccines whose uptake has been irregular due to negative media attention (HPV-1and HPV-2), problems in vaccine supply (DiTeKiPol), and targeted at children of12 years old (whose vaccination is more irregular compared to youngerchildren).

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