Analyzing the Еffects of Мobility and Season on COVID-19 Cases Using Negative Binomial Regression: a European Case Study

dc.contributor.author	Janković, Radmila
dc.contributor.author	Amelio, Alessia
dc.contributor.author	Ćosović, Marijana
dc.date.accessioned	2023-10-19T10:50:16Z
dc.date.available	2023-10-19T10:50:16Z
dc.date.issued	2021
dc.description.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.
dc.identifier.doi	10.1109/INFOTEH51037.2021.9400665
dc.identifier.uri	https://vaseljena.ues.rs.ba/handle/123456789/847
dc.language.iso	en
dc.publisher	Faculty of Electrical Engineering, University of East Sarajevo
dc.source	20th International Symposium INFOTEH-JAHORINA
dc.subject	negative binomial regression; COVID-19; statistical analysis; mobility trends; seasons
dc.title	Analyzing the Еffects of Мobility and Season on COVID-19 Cases Using Negative Binomial Regression: a European Case Study
dc.type	Article

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