Authors: Janković, Radmila 
Amelio, Alessia
Ćosović, Marijana
Affiliations: Computer Science 
Mathematical Institute of the Serbian Academy of Sciences and Arts 
Title: Analyzing the Еffects of Мobility and Season on COVID-19 Cases Using Negative Binomial Regression: A European Case Study
Journal: Proceedings of the 20th International Symposium INFOTEH-JAHORINA, INFOTEH 2021
First page: Art. no. 9400665
Conference: 20th International Symposium INFOTEH-JAHORINA, INFOTEH 2021; East Sarajevo; Bosnia and Herzegovina; 17 March 2021 through 19 March 2021
Issue Date: 17-Mar-2021
Rank: M33
ISBN: 978-172818229-2
DOI: 10.1109/INFOTEH51037.2021.9400665
Abstract: 
This paper develops a Generalized Linear Model using the Negative Binomial Regression with log link function to analyze the effects of mobility trends and seasons on COVID-19 cases. The data of four European countries was used, namely Austria, Greece, Italy, and Czech Republic. The dataset includes daily observations of registered COVID-19 cases, and the data of six types of mobility trends: retail and recreation, grocery and pharmacy, parks, transit stations, workplaces, and residential mobility for the period Feb 15 - Nov 15, 2020. The results suggest that the number of COVID-19 cases differs between seasons and different mobility trends.
Keywords: COVID-19 | mobility trends | negative binomial regression | seasons | statistical analysis
Publisher: IEEE

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