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In the absence of vaccines, the most widespread reaction to curb COVID-19 pandemic worldwide was the implementation of lockdowns or stay-at-home policies. Despite the reported usefulness of such policies, their efficiency was highly…

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

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…

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…

We analyze mobility changes following the implementation of containment measures aimed at mitigating the spread of COVID-19 in Bogot\'a, Colombia. We characterize the mobility network before and during the pandemic and analyze its evolution…

Physics and Society · Physics 2020-08-28 Marco Dueñas , Mercedes Campi , Luis Olmos

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.…

Physics and Society · Physics 2020-12-21 Frank Schlosser , Benjamin F. Maier , Olivia Jack , David Hinrichs , Adrian Zachariae , Dirk Brockmann

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

We develop a multiple-events model and exploit within and between country variation in the timing, type and level of intensity of various public policies to study their dynamic effects on the daily incidence of COVID-19 and on population…

Econometrics · Economics 2021-02-03 Nikos Askitas , Konstantinos Tatsiramos , Bertrand Verheyden

External shocks embody an unexpected and disruptive impact on the regular life of people. This was the case during the COVID-19 outbreak that rapidly led to changes in the typical mobility patterns in urban areas. In response, people…

Social and Information Networks · Computer Science 2023-10-06 Rafiazka Millanida Hilman , Manuel García-Herranz , Vedran Sekara , Márton Karsai

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 human mobility is crucial for urban and transport studies in cities. People's daily activities provide valuable insight, such as where people live, work, shop, leisure or eat during midday or after-work hours. However, such…

Social and Information Networks · Computer Science 2023-09-13 Roberto Murcio , Nilufer Sari Aslam , Joana Barros

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

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

In response to the COVID-19 pandemic, National governments have applied lockdown restrictions to reduce the infection rate. We perform a massive analysis on near real-time Italian data provided by Facebook to investigate how lockdown…

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…

During the COVID-19 pandemic, governments have tried to keep their territories safe by isolating themselves from others, limiting non-essential travel and imposing mandatory quarantines for travelers. While large-scale quarantine has been…

Physics and Society · Physics 2020-12-08 Olha Buchel , Anton Ninkov , Danise Cathel , Yaneer Bar-Yam , Leila Hedayatifar

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…

Socio-economic constructs and urban topology are crucial drivers of human mobility patterns. During the coronavirus disease 2019 pandemic, these patterns were reshaped in their components: the spatial dimension represented by the daily…

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

This paper has the goal of evaluating how changes in mobility has affected the infection spread of Covid-19 throughout the 2020-2021 years. However, identifying a "clean" causal relation is not an easy task due to a high number of…

Applications · Statistics 2021-10-05 Leonardo Martins , Marcelo C. Medeiros
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