COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
arXiv:2007.01583 · doi:10.1073/pnas.2012326117
Abstract
In the wake of the COVID-19 pandemic many countries implemented containment measures to reduce disease transmission. Studies using digital data sources show that the mobility of individuals was effectively reduced in multiple countries. However, it remains unclear whether these reductions caused deeper structural changes in mobility networks, and how such changes may affect dynamic processes on the network. Here we use movement data of mobile phone users to show that mobility in Germany has not only been reduced considerably: Lockdown measures caused substantial and long-lasting structural changes in the mobility network. We find that long-distance travel was reduced disproportionately strongly. The trimming of long-range network connectivity leads to a more local, clustered network and a moderation of the "small-world" effect. We demonstrate that these structural changes have a considerable effect on epidemic spreading processes by "flattening" the epidemic curve and delaying the spread to geographically distant regions.
20 pages, 8 figures
References in corpus (5)
- Effective containment explains sub-exponential growth in confirmed cases of recent COVID-19 outbreak in Mainland China
- Inferring change points in the COVID-19 spreading reveals the effectiveness of interventions
- Clustering in Complex Directed Networks
- Human Mobility Trends during the COVID-19 Pandemic in the United States
- Non-Compulsory Measures Sufficiently Reduced Human Mobility in Tokyo during the COVID-19 Epidemic
Cited by in corpus (35)
- Non-pharmaceutical interventions during the COVID-19 pandemic: a rapid review
- COVID-19 is linked to changes in the time-space dimension of human mobility
- Monitoring the COVID-19 epidemic with nationwide telecommunication data
- Impact of urban structure on infectious disease spreading
- Infectious disease dynamics in metapopulations with heterogeneous transmission and recurrent mobility
- A random walk Monte Carlo simulation study of COVID-19-like infection spread
- Mathematical modeling of spatio-temporal population dynamics and application to epidemic spreading
- A new logistic growth model applied to COVID-19 fatality data
- Concurrency measures in the era of temporal network epidemiology: A review
- Population Density and Spreading of COVID-19 in England and Wales
- Influence of trip distance and population density on intra-city mobility patterns in Tokyo during COVID-19 pandemic
- Causal invariant geographic network representations with feature and structural distribution shifts
- Non-Compulsory Measures Sufficiently Reduced Human Mobility in Tokyo during the COVID-19 Epidemic
- Modeling the Impact of Social Distancing and Targeted Vaccination on the Spread of COVID-19 through a Real City-Scale Contact Network
- Potential benefits of delaying the second mRNA COVID-19 vaccine dose
- Tracing contacts to evaluate the transmission of COVID-19 from highly exposed individuals in public transportation
- Mobility signatures: a tool for characterizing cities using intercity mobility flows
- Adapting Node-Place Model to Predict and Monitor COVID-19 Footprints and Transmission Risks
- Collection, usage and privacy of mobility data in the enterprise and public administrations
- One City, Two Tales: Using Mobility Networks to Understand Neighborhood Resilience and Fragility during the COVID-19 Pandemic
- Dose-response functions and surrogate models for exploring social contagion in the Copenhagen Networks Study
- Human movement decisions during Coronavirus Disease 2019
- Epidemic spreading in an expanded parameter space: the supercritical scaling laws and subcritical metastable phases
- How resilient is the Open Web to the COVID-19 pandemic?
- Topological data analysis of truncated contagion maps
- Discrete vortex-based broadcast mode analysis for mitigation of dynamic stall
- How contact patterns destabilize and modulate epidemic outbreaks
- Spatial correlations in geographical spreading of COVID-19 in USA
- From Symbols to Embeddings: A Tale of Two Representations in Computational Social Science
- Multiplex mobility network and metapopulation epidemic simulations of Italy based on Open Data
- Urban Epidemic Hazard Index for Chinese Cities: Why Did Small Cities Become Epidemic Hotspots?
- The role of inter-regional mobility in forecasting SARS-CoV-2 transmission
- Exploring the spatiotemporal heterogeneity in the relationship between human mobility and COVID-19 prevalence using dynamic time warping
- Spatiotemporal Activity-Driven Networks
- The spatial dissemination of COVID-19 and associated socio-economic consequences