Mobility Analytics and COVID-19 in Greece

Abstract

This work is focused on multi-aspect analytics of epidemic data, using Greece as the use case for assessing the national outbreak and estimating the general trends and outlook of it since the beginning of the pandemic in early 2020 up to the end of 2020. Using methodologies from compartmentalized epidemic modelling, data analytics and machine learning, several insights are presented with regard to early tracking of the evolving outbreak, despite having to deal with data scarcity, inconsistencies and quality issues. It is intended to be used as a guideline for data-related challenges on producing actionable information to decisionmakers during an active epidemic.