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Original Article

Investigating an Issue–Attention–Action Cycle: A Case Study on the Chronology of Media Attention, Public Attention, and Actual Vaccination Behavior during the 2019 Measles Outbreak in Austria

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Figures & data

Fig. 1. Media attention, public attention (Google searches), and the number of vaccinations during the measles outbreak in Austria in 2019. The observation period is N = 51 days (Day 1 = January 1 to Day 51 = February 20). The figure provides untransformed raw data. For vaccinations, there were no data on some days (see the methods section); the graph connects adjacent points.

Fig. 1. Media attention, public attention (Google searches), and the number of vaccinations during the measles outbreak in Austria in 2019. The observation period is N = 51 days (Day 1 = January 1 to Day 51 = February 20). The figure provides untransformed raw data. For vaccinations, there were no data on some days (see the methods section); the graph connects adjacent points.

Fig. 2. Fitted lognormal distribution functions of a measles outbreak’s effect on media attention, public attention (Google searches), and vaccinations. The vertical dashed lines represent the geometric mean. The dotted curves indicate the confidence band (95%) of the fitted lognormal distribution function.

Note. The observation period in this Figure is N = 23 days (Day 0 = January 28 [i.e., the last day before the sharp increase in public attention] to Day 23 = February 20). Goodness of fit: Media attention (R2 = .94, df = 21), public attention (R2 = .95, df = 21), vaccinations (R2 = .22, df = 16). Full models can be obtained upon request.
Fig. 2. Fitted lognormal distribution functions of a measles outbreak’s effect on media attention, public attention (Google searches), and vaccinations. The vertical dashed lines represent the geometric mean. The dotted curves indicate the confidence band (95%) of the fitted lognormal distribution function.