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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

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

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

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…

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…

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

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…

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…

In response to the coronavirus disease 2019 (COVID-19) pandemic, governments have encouraged and ordered citizens to practice social distancing, particularly by working and studying at home. Intuitively, only a subset of people have the…

Computers and Society · Computer Science 2021-03-16 Kentaro Iio , Xiaoyu Guo , Xiaoqiang "Jack" Kong , Kelly Rees , Xiubin Bruce Wang

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

Countries and cities around the world have resorted to unprecedented mobility restrictions to combat Covid-19 transmission. Here we exploit a natural experiment whereby Colombian cities implemented varied lockdown policies based on ID…

Physics and Society · Physics 2021-04-06 Samuel Heroy , Isabella Loaiza , Alexander Pentland , Neave O'Clery

Socioeconomic segregation patterns in networks usually evolve gradually, yet they can change abruptly in response to external shocks. The recent COVID-19 pandemic and the subsequent government policies induced several interruptions in…

Physics and Society · Physics 2023-12-25 Ludovico Napoli , Vedran Sekara , Manuel García-Herranz , Márton Karsai

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…

Diversity of physical encounters and social interactions in urban environments are known to spur economic productivity and innovation in cities, while also to foster social capital and resilience of communities. However, mobility…

COVID-19 has deeply affected daily life and travel behaviors. Understanding these changes is crucial, prompting an investigation into socio-demographic and socio-economic factors. This study used large-scale mobile device location data in…

Applications · Statistics 2024-01-26 Saeed Saleh Namadi , Behnam Tahmasbi , Asal Mehditabrizi , Aref Darzi , Deb Niemeier

In March of this year, COVID-19 was declared a pandemic and it continues to threaten public health. This global health crisis imposes limitations on daily movements, which have deteriorated every sector in our society. Understanding public…

Physics and Society · Physics 2021-01-27 Minha Lee , Jun Zhao , Qianqian Sun , Yixuan Pan , Weiyi Zhou , Chenfeng Xiong , Lei Zhang

Many of our routines and activities are linked to our ability to move; be it commuting to work, shopping for groceries, or meeting friends. Yet, factors that limit the individuals' ability to fully realise their mobility needs will…

Physics and Society · Physics 2022-03-04 Mariana Macedo , Laura Lotero , Alessio Cardillo , Ronaldo Menezes , Hugo Barbosa

The COVID19 pandemic highlighted the importance of non-traditional data sources, such as mobile phone data, to inform effective public health interventions and monitor adherence to such measures. Previous studies showed how socioeconomic…

Traditional measures of urban accessibility often rely on static models or survey data. However, location information from mobile networks now enables large-scale, dynamic analyses of how people navigate cities. This study uses eXtended…

Computers and Society · Computer Science 2026-01-21 Cesar Marin-Flores , Leo Ferres , Henrikki Tenkanen
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