January 20, 2022 Dataset Open Access

Maaß, Christina H.

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  <dc:creator>Maaß, Christina H.</dc:creator>
  <dc:date>2022-01-20</dc:date>
  <dc:description>Data used for research project: Shedding light on dark figures: Steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends

Data obtained from Google Trends (trends.google.de) and Robert Koch Institute (https://www.rki.de/DE/Content/InfAZ/N/Neuartiges_Coronavirus/nCoV.html).</dc:description>
  <dc:identifier>https://www.fdr.uni-hamburg.de/record/9833</dc:identifier>
  <dc:identifier>10.25592/uhhfdm.9833</dc:identifier>
  <dc:identifier>oai:fdr.uni-hamburg.de:9833</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.25592/uhhfdm.9831</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Big Data, Google Trends</dc:subject>
  <dc:title>Shedding light on dark figures: steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
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