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Metapopulation models have been a popular tool for the study of epidemic spread over a network of highly populated nodes (cities, provinces, countries) and have been extensively used in the context of the ongoing COVID-19 pandemic. In the…

Urban mobility is central to economic activity, social inclusion, and access to essential services. COVID-19 caused disruptions to mobility globally, yet its long-term impacts in less developed countries remain poorly understood. Using over…

Physics and Society · Physics 2025-06-16 Carmen Cabrera , Miguel González-Leonardo , Andrea Nasuto , Ruth Neville , Francisco Rowe

This study leverages mobile phone data for 5.4 million users to unveil the complex dynamics of internal migration and daily mobility in Santiago de Chile during the global COVID-19 pandemic, with a focus on socioeconomic differentials.…

Computers and Society · Computer Science 2023-09-22 Erick Elejalde , Leo Ferres , Víctor Navarro , Loreto Bravo , Emilio Zagheni

Fighting the COVID-19 pandemic, most countries have implemented non-pharmaceutical interventions like wearing masks, physical distancing, lockdown, and travel restrictions. Because of their economic and logistical effects, tracking mobility…

Physics and Society · Physics 2020-11-25 Luca Pappalardo , Giuliano Cornacchia , Victor Navarro , Loreto Bravo , Leo Ferres

The COVID-19 pandemic has impacted the national systems of population movement around the world. Existing work has focused on countries of the Global North and restricted to the immediate effects of COVID-19 data during 2020. Data have…

Physics and Society · Physics 2023-11-06 Francisco Rowe , Carmen Cabrera-Arnau , Miguel González-Leonardo , Andrea Nasuto , Ruth Neville

The COVID-19 crisis has shown that we can only prevent the risk of mass contagion through timely, large-scale, coordinated, and decisive actions. However, frequently the models used by experts [from whom decision-makers get their main…

Applications · Statistics 2021-03-08 Mauricio Herrera

What predicts a neighborhood's resilience and adaptability to essential public health policies and shelter-in-place regulations that prevent the harmful spread of COVID-19? To answer this question, in this paper we present a novel…

Physics and Society · Physics 2024-05-17 Hasan Alp Boz , Mohsen Bahrami , Selim Balcisoy , Burcin Bozkaya , Nina Mazar , Aaron Nichols , Alex Pentland

The availability of cellphone geolocation data provides a remarkable opportunity to study human mobility patterns and how these patterns are affected by the recent pandemic. Two simple centrality metrics allow us to measure two different…

Social and Information Networks · Computer Science 2022-08-16 Oscar Fontanelli , Dulce I. Valdivia , Guillermo Romero , Oliver Medina , Wentian Li , Maribel Hernández-Rosales

Voluntary shelter-in-place directives and lockdowns are the main non-pharmaceutical interventions that governments around the globe have used to contain the Covid-19 pandemic. In this paper we study the impact of such interventions in the…

Adherence to the non-pharmaceutical interventions (NPIs) put in place to mitigate the spreading of infectious diseases is a multifaceted problem. Socio-demographic, socio-economic, and epidemiological factors can influence the perceived…

Physics and Society · Physics 2022-02-25 Nicolò Gozzi , Niccolò Comini , Nicola Perra

Non-pharmaceutical interventions (NPIs) have played a crucial role in controlling the spread of COVID-19. Nevertheless, NPI efficacy varies enormously between and within countries, mainly because of population and behavioural heterogeneity.…

Populations and Evolution · Quantitative Biology 2021-06-28 Danton Freire-Flores , Nyna Llanovarced-Kawles , Anamaria Sanchez-Daza , Álvaro Olivera-Nappa

Using smartphone location data from Colombia, Mexico, and Indonesia, we investigate how non-pharmaceutical policy interventions intended to mitigate the spread of the COVID-19 pandemic impact human mobility. In all three countries, we find…

During outbreaks of emerging infectious diseases, internationally connected cities often experience large and early outbreaks, while rural regions follow after some delay. This hierarchical structure of disease spread is influenced…

Mobile phone data have played a key role in quantifying human mobility during the COVID-19 pandemic. Existing studies on mobility patterns have primarily focused on regional aggregates in high-income countries, obfuscating the accentuated…

Commuting patterns are a central component of urban dynamics and many societal activities. Exogenous shocks, such as a pandemic, might drastically modify them inducing heterogeneous variations across socioeconomic strata. Here, we quantify…

Physics and Society · Physics 2026-03-13 Cristiano Marinelli , Leo Ferres , Niccolò Comini , Nicolò Gozzi , Nicola Perra

Understanding collective mobility patterns is crucial to plan the restart of production and economic activities, which are currently put in stand-by to fight the diffusion of the epidemics. In this report, we use mobile phone data to infer…

The COVID-19 pandemic is changing the world in unprecedented and unpredictable ways. Human mobility is at the epicenter of that change, as the greatest facilitator for the spread of the virus. To study the change in mobility, to evaluate…

The COVID-19 pandemic has forced public health experts to develop contingent policies to stem the spread of infection, including measures such as partial/complete lockdowns. The effectiveness of these policies has varied with geography,…

Social and Information Networks · Computer Science 2020-10-29 Parth Asawa , Manas Gaur , Kaushik Roy , Amit Sheth

It is often necessary to introduce the main characteristics of population mobility dynamics to model critical social phenomena such as the economy, violence, transmission of information, or infectious diseases. In this work, we focus on…

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