Visual analytics of mobility network changes observed using mobile phone data during COVID-19 pandemic

Abstract

The limited exchange between human communities is a key factor in preventing the spread of COVID-19. This paper introduces a digital framework that combines an integration of real mobility data at the country scale with a series of modeling techniques and visual capabilities that highlight mobility patterns before and during the pandemic. The findings not only significantly exhibit mobility trends and different degrees of similarities at regional and local levels but also provide potential insight into the emergence of a pandemic on human behavior patterns and their likely socio-economic impacts.

Georg Heiler

Researcher & data scientist

My research interests include large geo-spatial time and network data analytics.