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COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43670%2F22%3A43922034" target="_blank" >RIV/62156489:43670/22:43922034 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216224:14210/22:00126071

  • Result on the web

    <a href="https://doi.org/10.1038/s41597-022-01383-6" target="_blank" >https://doi.org/10.1038/s41597-022-01383-6</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1038/s41597-022-01383-6" target="_blank" >10.1038/s41597-022-01383-6</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    COVIDiSTRESS diverse dataset on psychological and behavioural outcomes one year into the COVID-19 pandemic

  • Original language description

    During the onset of the COVID-19 pandemic, the COVIDiSTRESS Consortium launched an open-access global survey to understand and improve individuals&apos; experiences related to the crisis. A year later, we extended this line of research by launching a new survey to address the dynamic landscape of the pandemic. This survey was released with the goal of addressing diversity, equity, and inclusion by working with over 150 researchers across the globe who collected data in 48 languages and dialects across 137 countries. The resulting cleaned dataset described here includes 15,740 of over 20,000 responses. The dataset allows cross-cultural study of psychological wellbeing and behaviours a year into the pandemic. It includes measures of stress, resilience, vaccine attitudes, trust in government and scientists, compliance, and information acquisition and misperceptions regarding COVID-19. Open-access raw and cleaned datasets with computed scores are available. Just as our initial COVIDiSTRESS dataset has facilitated government policy decisions regarding health crises, this dataset can be used by researchers and policy makers to inform research, decisions, and policy.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50101 - Psychology (including human - machine relations)

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2022

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Scientific Data

  • ISSN

    2052-4463

  • e-ISSN

    2052-4463

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    21 June

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    25

  • Pages from-to

    331

  • UT code for WoS article

    000814276800004

  • EID of the result in the Scopus database

    2-s2.0-85132297882