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 Style AAA Style APA 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, August 2). 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. Business Information Management. Retrieved from http://hdl.handle.net/2105/64229

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