Understanding the Urban Pandemic Spreading of COVID-19 with Real World Mobility Data
Qianyue Hao, Chen Lin, Fengli Xu, Yong Li
Abstract
Facing the worldwide rapid spreading of COVID-19 pandemic, we need to understand its diffusion in the urban environments with heterogeneous population distribution and mobility. However, challenges exist in the choice of proper spatial resolution, integration of mobility data into epidemic modelling, as well as incorporation of unique characteristics of COVID-19.
Topics & Concepts
Coronavirus disease 2019 (COVID-19)PandemicComputer sciencePopulationGeographic mobility2019-20 coronavirus outbreakDiffusionSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)Data scienceGeographyOutbreakVirologyMedicineInfectious disease (medical specialty)PathologyPhysicsDiseaseEnvironmental healthThermodynamicsCOVID-19 epidemiological studiesHuman Mobility and Location-Based AnalysisData-Driven Disease Surveillance