A structured open dataset of government interventions in response to COVID-19

Lade...
Vorschaubild
Dateien
Desvars_Larrive_2-nxs0rixzrmis8.pdf
Desvars_Larrive_2-nxs0rixzrmis8.pdfGröße: 1.8 MBDownloads: 60
Datum
2020
Autor:innen
Desvars-Larrive, Amélie
Dervic, Elma
Haug, Nina
Niederkrotenthaler, Thomas
Chen, Jiaying
Di Natale, Anna
Lasser, Jana
Gliga, Diana S.
Roux, Alexandra
et al.
Herausgeber:innen
Kontakt
ISSN der Zeitschrift
Electronic ISSN
ISBN
Bibliografische Daten
Verlag
Schriftenreihe
Auflagebezeichnung
ArXiv-ID
Internationale Patentnummer
Link zur Lizenz
Angaben zur Forschungsförderung
Projekt
Open Access-Veröffentlichung
Open Access Gold
Core Facility der Universität Konstanz
Gesperrt bis
Titel in einer weiteren Sprache
Publikationstyp
Zeitschriftenartikel
Publikationsstatus
Published
Erschienen in
Scientific Data. Springer Nature. 2020, 7(1), 285. eISSN 2052-4463. Available under: doi: 10.1038/s41597-020-00609-9
Zusammenfassung

In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset until the end of December 2020.

Zusammenfassung in einer weiteren Sprache
Fachgebiet (DDC)
320 Politik
Schlagwörter
Konferenz
Rezension
undefined / . - undefined, undefined
Forschungsvorhaben
Organisationseinheiten
Zeitschriftenheft
Datensätze
Zitieren
ISO 690DESVARS-LARRIVE, Amélie, Elma DERVIC, Nina HAUG, Thomas NIEDERKROTENTHALER, Jiaying CHEN, Anna DI NATALE, Jana LASSER, Diana S. GLIGA, Alexandra ROUX, David GARCIA, 2020. A structured open dataset of government interventions in response to COVID-19. In: Scientific Data. Springer Nature. 2020, 7(1), 285. eISSN 2052-4463. Available under: doi: 10.1038/s41597-020-00609-9
BibTex
@article{DesvarsLarrive2020struc-59978,
  year={2020},
  doi={10.1038/s41597-020-00609-9},
  title={A structured open dataset of government interventions in response to COVID-19},
  number={1},
  volume={7},
  journal={Scientific Data},
  author={Desvars-Larrive, Amélie and Dervic, Elma and Haug, Nina and Niederkrotenthaler, Thomas and Chen, Jiaying and Di Natale, Anna and Lasser, Jana and Gliga, Diana S. and Roux, Alexandra and Garcia, David},
  note={Article Number: 285}
}
RDF
<rdf:RDF
    xmlns:dcterms="http://purl.org/dc/terms/"
    xmlns:dc="http://purl.org/dc/elements/1.1/"
    xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
    xmlns:bibo="http://purl.org/ontology/bibo/"
    xmlns:dspace="http://digital-repositories.org/ontologies/dspace/0.1.0#"
    xmlns:foaf="http://xmlns.com/foaf/0.1/"
    xmlns:void="http://rdfs.org/ns/void#"
    xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > 
  <rdf:Description rdf:about="https://kops.uni-konstanz.de/server/rdf/resource/123456789/59978">
    <dcterms:isPartOf rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dspace:isPartOfCollection rdf:resource="https://kops.uni-konstanz.de/server/rdf/resource/123456789/42"/>
    <dspace:hasBitstream rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59978/1/Desvars_Larrive_2-nxs0rixzrmis8.pdf"/>
    <dc:contributor>Garcia, David</dc:contributor>
    <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-30T11:12:30Z</dc:date>
    <dc:rights>Attribution 4.0 International</dc:rights>
    <dcterms:rights rdf:resource="http://creativecommons.org/licenses/by/4.0/"/>
    <dc:creator>Roux, Alexandra</dc:creator>
    <foaf:homepage rdf:resource="http://localhost:8080/"/>
    <dcterms:issued>2020</dcterms:issued>
    <dc:contributor>Roux, Alexandra</dc:contributor>
    <dc:contributor>Chen, Jiaying</dc:contributor>
    <dc:creator>Niederkrotenthaler, Thomas</dc:creator>
    <dcterms:abstract xml:lang="eng">In response to the COVID-19 pandemic, governments have implemented a wide range of non-pharmaceutical interventions (NPIs). Monitoring and documenting government strategies during the COVID-19 crisis is crucial to understand the progression of the epidemic. Following a content analysis strategy of existing public information sources, we developed a specific hierarchical coding scheme for NPIs. We generated a comprehensive structured dataset of government interventions and their respective timelines of implementation. To improve transparency and motivate collaborative validation process, information sources are shared via an open library. We also provide codes that enable users to visualise the dataset. Standardization and structure of the dataset facilitate inter-country comparison and the assessment of the impacts of different NPI categories on the epidemic parameters, population health indicators, the economy, and human rights, among others. This dataset provides an in-depth insight of the government strategies and can be a valuable tool for developing relevant preparedness plans for pandemic. We intend to further develop and update this dataset until the end of December 2020.</dcterms:abstract>
    <void:sparqlEndpoint rdf:resource="http://localhost/fuseki/dspace/sparql"/>
    <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2023-01-30T11:12:30Z</dcterms:available>
    <dc:contributor>Niederkrotenthaler, Thomas</dc:contributor>
    <bibo:uri rdf:resource="https://kops.uni-konstanz.de/handle/123456789/59978"/>
    <dc:contributor>Di Natale, Anna</dc:contributor>
    <dcterms:title>A structured open dataset of government interventions in response to COVID-19</dcterms:title>
    <dc:creator>Chen, Jiaying</dc:creator>
    <dc:creator>Desvars-Larrive, Amélie</dc:creator>
    <dc:contributor>Desvars-Larrive, Amélie</dc:contributor>
    <dc:contributor>Haug, Nina</dc:contributor>
    <dc:creator>Dervic, Elma</dc:creator>
    <dc:contributor>Lasser, Jana</dc:contributor>
    <dc:contributor>Dervic, Elma</dc:contributor>
    <dc:creator>Di Natale, Anna</dc:creator>
    <dc:contributor>Gliga, Diana S.</dc:contributor>
    <dc:creator>Gliga, Diana S.</dc:creator>
    <dc:creator>Lasser, Jana</dc:creator>
    <dcterms:hasPart rdf:resource="https://kops.uni-konstanz.de/bitstream/123456789/59978/1/Desvars_Larrive_2-nxs0rixzrmis8.pdf"/>
    <dc:creator>Haug, Nina</dc:creator>
    <dc:language>eng</dc:language>
    <dc:creator>Garcia, David</dc:creator>
  </rdf:Description>
</rdf:RDF>
Interner Vermerk
xmlui.Submission.submit.DescribeStep.inputForms.label.kops_note_fromSubmitter
Kontakt
URL der Originalveröffentl.
Prüfdatum der URL
Prüfungsdatum der Dissertation
Finanzierungsart
Kommentar zur Publikation
Allianzlizenz
Corresponding Authors der Uni Konstanz vorhanden
Internationale Co-Autor:innen
Universitätsbibliographie
Nein
Begutachtet
Ja
Diese Publikation teilen