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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

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…

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

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…

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

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…

In response to the novel coronavirus disease (COVID-19), governments have introduced severe policy measures with substantial effects on human behavior. Here, we perform a large-scale, spatio-temporal analysis of human mobility during the…

Applications · Statistics 2022-06-08 Joel Persson , Jurriaan F. Parie , Stefan Feuerriegel

The constrained outbreak of COVID-19 in Mainland China has recently been regarded as a successful example of fighting this highly contagious virus. Both the short period (in about three months) of transmission and the sub-exponential…

Physics and Society · Physics 2022-03-22 Jizhou Huang , Haifeng Wang , Miao Fan , An Zhuo , Yibo Sun , Ying Li

The COVID-19 pandemic has had a great impact in most countries worldwide, in particular impacting Chile greatly to become one of the worst hit countries in the world, despite its low population compared to other affected countries around…

Populations and Evolution · Quantitative Biology 2021-02-24 Gonzalo A. Benavides , Francisca Larach , Vicente Marchant , Joaquín Fernández , Fredy Montoya , Sebastián Domínguez , Camilo Mejías

The use of public transportation or simply moving about in streets are gendered issues. Women and girls often engage in multi-purpose, multi-stop trips in order to do household chores, work, and study ('trip chaining'). Women-headed…

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…

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 has brought both tangible and intangible damage to our society. Many researchers studied about its societal impacts in the countries that had implemented strong social distancing measures such as stay-at-home orders.…

Computers and Society · Computer Science 2020-07-02 Myeong Lee , Seongkyu Lee , Seonghoon Kim , Noseong Park

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

As a highly infectious respiratory disease, COVID-19 has become a pandemic that threatens global health. Without an effective treatment, non-pharmaceutical interventions, such as travel restrictions, have been widely promoted to mitigate…

Social and Information Networks · Computer Science 2020-06-25 Qianqian Sun , Yixuan Pan , Weiyi Zhou , Chenfeng Xiong , Lei Zhang

In this paper, our goal is to analyze and compare cellular network usage data from pre-lockdown, during lockdown, and post-lockdown phases surrounding the COVID-19 pandemic to understand and model human mobility patterns during the…

Social and Information Networks · Computer Science 2020-10-29 Necati A. Ayan , Nilson L. Damasceno , Sushil Chaskar , Peron R. de Sousa , Arti Ramesh , Anand Seetharam , Antonio A. de A. Rocha

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…

Social distancing remains an important strategy to combat the COVID-19 pandemic in the United States. However, the impacts of specific state-level policies on mobility and subsequent COVID-19 case trajectories have not been completely…

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

One approach to delay the spread of the novel coronavirus (COVID-19) is to reduce human travel by imposing travel restriction policies. It is yet unclear how effective those policies are on suppressing the mobility trend due to the lack of…

Applications · Statistics 2020-05-06 Chenfeng Xiong , Songhua Hu , Mofeng Yang , Hannah N Younes , Weiyu Luo , Sepehr Ghader , Lei Zhang
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