Predicting the spread of COVID-19 cases in The Netherlands using weather forecasts, vaccination data, governmental restrictions and search query data: A Machine Learning Approach

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Keywords	Machine Learning, LSTM, XGBoost, Long Short-Term Memory, Forecasting, COVID-19, Coronavirus
Thesis Advisor	Waltrick, Beatriz, Weinmann, Markus
Persistent URL	hdl.handle.net/2105/64229
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Capuzzato, Fabio. (2022). Predicting the spread of COVID-19 cases in The Netherlands using weather forecasts, vaccination data, governmental restrictions and search query data: A Machine Learning Approach. In Business Information Management.http://hdl.handle.net/2105/64229

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