Kyushu University, Fukuoka, Japan.
Catholic University of Croatia, Zagreb, Croatia.
Sci Data. 2021 Jan 4;8(1):3. doi: 10.1038/s41597-020-00784-9.
This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey - an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.
这是一个 N = 173,426 的社会科学数据集,通过合作 COVIDiSTRESS 全球调查收集而来,这是一项开放科学的努力,旨在增进对 2020 年 3 月 30 日至 5 月 30 日期间人类经历 2019 年冠状病毒病大流行的理解。该数据集允许对冠状病毒大流行和相关政府措施(如取消公共活动和居家令)的心理和行为反应进行跨文化研究,这些措施在许多国家实施。该数据集包含人口统计学背景变量以及亚洲疾病问题、感知压力 (PSS-10)、社会供应品的可用性 (SPS-10)、对各种当局的信任、对政府遏制病毒措施的信任 (经合组织信任)、人格特质 (BFF-15)、信息行为、对政府干预程度的认同以及对预防措施的遵守情况,以及丰富的探索性变量和书面经验。来自 39 个国家和地区的全球联盟共同努力,用具有共同利益的变量构建和翻译了一份调查,并以 47 种语言和方言招募参与者。原始加清理后的数据和动态可视化结果均可获得。