Dataset Closed Access
{"@context":"https://schema.org/","@id":"http://doi.org/10.25592/uhhfdm.9832","@type":"Dataset","creator":[{"@id":"https://orcid.org/0000-0001-6264-6622","@type":"Person","affiliation":"Universit\u00e4t Hamburg","name":"Maa\u00df, Christina H."}],"datePublished":"2022-01-20","description":"<p>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</p>\n\n<p>Data obtained from Google Trends (trends.google.de).</p>","identifier":"http://doi.org/10.25592/uhhfdm.9832","inLanguage":{"@type":"Language","alternateName":"aig","name":"Antigua and Barbuda Creole English"},"keywords":["Big Data, Google Trends"],"name":"Shedding light on dark figures: steps towards a methodology for estimating actual numbers of COVID-19 infections in Germany based on Google Trends","url":"https://www.fdr.uni-hamburg.de/record/9832"}