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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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A comparative dataset on public perceptions of multiple risks during the COVID-19 pandemic in Italy and Sweden

Authors: orcid bw Elena Mondino;
Elena Mondino
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orcid bw Giuliano Di Baldassarre;
Giuliano Di Baldassarre
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orcid bw Johanna Mård;
Johanna Mård
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Johanna Mård in OpenAIRE
orcid bw Elena Ridolfi;
Elena Ridolfi
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Elena Ridolfi in OpenAIRE
orcid bw Maria Rusca;
Maria Rusca
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Maria Rusca in OpenAIRE
orcid bw Raffetti, Elena;
Raffetti, Elena
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Raffetti, Elena in OpenAIRE
Del Giudice, Emanuele; +1 Authors

A comparative dataset on public perceptions of multiple risks during the COVID-19 pandemic in Italy and Sweden

Abstract

These datasets are the result of two nation-wide surveys conducted in Italy and Sweden in August 2020 and in november 2020. The surveys (which are identical in the two rounds) explore the respondents' risk perception, preparedness, knowledge, and experience regarding a set of hazards, namely: epidemics, floods, droughts, earthquakes, wildfires, terror attacks, domestic violence, economic crises, and climate change. The data files include the questionnaire survey (the Italian and Swedish versions as well as the English translation) and the two datasets of all the answers to the two surveys. Each column in the dataset refers to an item in the survey (e.g. a question or a sub-question), and each row represents a single respondent. For additional information on the August 2020 dataset, see Mondino et al. (2020).

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Keywords

knowledge, domestic violence, drought, flood, economic crisis, epidemic, wildfire, preparedness, climate change, experience, terror attack, risk perception, earthquake, survey

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