International datasets behavior effects COVID-19

This dataset stems from the project ‘Beprepared’: (https://be-prepared-consortium.nl/) which aims to provide in-depth analyses of mixed-method behavioural science data collected throughout the unprecedented COVID-19 pandemic and inform preparedness strategies for future outbreaks. In approaching the research from a behavioural and social science perspective, researchers focus on four main themes: · Prevention behaviour, psychosocial and contextual determinants, and (communication) interventions · Resilience and engagement of citizens, communities and organisations · Research methodology and preparedness · Effective and integrated policy advice This resource links to the theme ‘research methodology’ and provides an overview of datasets that have been used internationally to study the behavioral effects of the Covid-19 pandemic. These datasources can be used to study how people behave in a variety of settings during the Covid pandemic and so to inform policy-makers, but also to study the effects of behavioral interventions. It includes datasources that for example study mobility behavior at a regional or national level, physical distancing in public, health adherence behaviors (like handwashing, mask wearing), social contacts on- and offline, purchasing behaviors (shopping) etc. The resource consists of two datasets: 1. A dataset (in .xlsx and .csv format) of the search strategy used to come to the list of datasources called “search strategy” 2. A dataset (in .xslx and .csv format) of the results of the search, called “search results” 3. A dataset (in .xslx and .csv format) of a step where duplicate studies are identified 4. A dataset (in .xslx and .csv format) where for 131 studies the data quality was assessed本数据集源自“Beprepared”项目（https://be-prepared-consortium.nl/），该项目旨在对史无前例的新冠疫情期间收集的混合方法行为科学数据开展深度分析，并为未来疫情的防控筹备策略提供科学参考。研究团队从行为科学与社会科学视角出发，聚焦四大核心研究主题： · 预防行为、社会心理与情境影响因素，以及（传播）干预手段 · 公民、社区与组织的韧性与参与度 · 研究方法论与疫情防控筹备 · 高效一体化的政策咨询建议 本资源对应“研究方法论”这一主题，梳理了国际上用于探究新冠疫情行为影响的各类数据集。这些数据源既可用于分析新冠疫情期间不同场景下的民众行为，为政策制定者提供决策依据，也可用于研究各类行为干预措施的实施效果。其涵盖的数据源包括区域或国家级移动出行行为、公共场所社交距离遵守情况、手部清洁、佩戴口罩等健康依从行为、线上线下社交接触、购物消费行为等诸多类别。 本资源共包含四类数据集： 1. 名为“检索策略”的数据集（格式为.xlsx与.csv），记录了用于生成数据源清单的检索方案 2. 名为“检索结果”的数据集（格式为.xlsx与.csv），收录了本次检索的最终成果 3. 名为“重复研究识别”的数据集（格式为.xlsx与.csv），涵盖重复研究识别环节的全部相关数据 4. 针对131项研究开展数据质量评估的数据集（格式为.xlsx与.csv）