Although visual depictions of epidemiological data are not new in public health, the US public saw more of them during the COVID-19 pandemic than ever before. In this study, we considered visualizations of forecasts (i.e. predictions of how a disaster will unfold over time) formatted as line charts. We investigated how two choices scientists make when creating a forecast visual - the outcome of focus (cases or deaths) and the amount of data provided (more or less data) about the past or the potential future - shape behavioral intentions via risk-related appraisals (e.g. threat and efficacy). In an online experiment, participants (
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Smith et al. (2024) studied this question.
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