Data underlying the article: "How do citizens weigh societal impacts of a pandemic when it transitions into an endemic? The results of a discrete choice experiment in the Netherlands"

doi: 10.4121/35e50f3e-7ee9-4ea0-afd1-bb1b84eab3b8.v1
The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/35e50f3e-7ee9-4ea0-afd1-bb1b84eab3b8
Datacite citation style:
Mouter, Niek; Geijsen, Tom; Munyasya, Aylin; Hernández, José Ignacio; Korthals, Daniel et. al. (2023): Data underlying the article: "How do citizens weigh societal impacts of a pandemic when it transitions into an endemic? The results of a discrete choice experiment in the Netherlands". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/35e50f3e-7ee9-4ea0-afd1-bb1b84eab3b8.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset

This dataset comprises the responses of a discrete choice experiment to elicit the Dutch citizens' preferences for policy packages to curb the spread of COVID-19 during its endemic phase. Each policy package is characterised by six attributes: COVID-19 deaths, physical injuries, mental health problems, severe income problems, delay of surgeries and the stringency of the COVID-19 measures.

history
  • 2023-08-25 first online, published, posted
publisher
4TU.ResearchData
format
application/zip
organizations
TU Delft, Faculty of Technology, Policy and Management, Department of Engineering Systems and Services, Transport and Logistics Group, Delft, The Netherlands;
National Institute for Public Health and the Environment of the Netherlands (RIVM), Bilthoven, The Netherlands; Populytics, Research Agency, Leiden, The Netherlands.

DATA

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