The COVID-19 outbreak and the ensuing confinement measures are expected to bear a significant psychological impact on the affected populations. To date, all available studies designed to investigate the psychological effects of this unprecedented global crisis are based on cross-sectional surveys that do not capture emotional variations over time. Here, we present the data from CoVidAffect, a nationwide citizen science project aimed to provide longitudinal data of mood changes following the COVID-19 outbreak in the spanish territory. Spain is among the most affected countries by the pandemic, with one of the most restrictive and prolonged lockdowns worldwide. The project also collected a baseline of demographic and socioeconomic data. These data can be further analyzed to quantify emotional responses to specific measures and policies, and to understand the effect of context variables on psychological resilience. Importantly, to our knowledge this is the first dataset that offers the opportunity to study the behavior of emotion dynamics in a prolonged lockdown situation. Measurement(s) Emotion • arousal domain measurement • mood change measurement Technology Type(s) questionnaire Factor Type(s) emotion dynamics during lockdown Sample Characteristic – Organism Homo sapiens Sample Characteristic – Location Kingdom of Spain Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12948677
【저자키워드】 Human behaviour, databases, 【초록키워드】 pandemic, lockdown, knowledge, technology, Variation, COVID-19 outbreak, response, psychological Impact, Metadata, Spain, location, dataset, Psychological, emotion, change, questionnaire, cross-sectional survey, emotional, Longitudinal data, Factor, domain, Kingdom, measure, psychological resilience, offer, variable, Effect, populations, country, analyzed, affected, collected, Sample, reported, expected, baseline, Homo sapien, 【제목키워드】 Variation, COVID-19 outbreak, Spain, Real-time monitoring,