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The research team has utilized an integrated dataset, consisting of anonymized location data, COVID-19 case data, and census population information, to study the impact of COVID-19 on human mobility. The study revealed that statistics…

Computers and Society · Computer Science 2020-05-01 Sepehr Ghader , Jun Zhao , Minha Lee , Weiyi Zhou , Guangchen Zhao , Lei Zhang

The COVID-19 pandemic has changed the way we act, interact and move around in the world. The pandemic triggered a worldwide health crisis that has been tackled using a variety of strategies across Europe. Whereas some countries have taken…

Computers and Society · Computer Science 2020-08-25 Anna Sigridur Islind , María Óskarsdóttir , Harpa Steingrímsdóttir

COVID-19 has been affecting every aspect of societal life including human mobility since December, 2019. In this paper, we study the impact of COVID-19 on human mobility patterns at the state level within the United States. From the…

Social and Information Networks · Computer Science 2020-12-08 Songhe Wang , Kangda Wei , Lei Lin , Weizi Li

To contain the Coronavirus disease (COVID-19) pandemic, one of the non-pharmacological epidemic control measures in response to the COVID-19 outbreak is reducing the transmission rate of SARS-COV-2 in the population through (physical)…

Physics and Society · Physics 2020-05-19 Song Gao , Jinmeng Rao , Yuhao Kang , Yunlei Liang , Jake Kruse

Mobile phone data have been widely used to model the spread of COVID-19, however, quantifying and comparing their predictive value across different settings is challenging. Their quality is affected by various factors and their relationship…

Physics and Society · Physics 2023-01-11 Federico Delussu , Michele Tizzoni , Laetitia Gauvin

Understanding dynamic human mobility changes and spatial interaction patterns at different geographic scales is crucial for assessing the impacts of non-pharmaceutical interventions (such as stay-at-home orders) during the COVID-19…

Social and Information Networks · Computer Science 2020-11-03 Yuhao Kang , Song Gao , Yunlei Liang , Mingxiao Li , Jinmeng Rao , Jake Kruse

While large scale mobility data has become a popular tool to monitor the mobility patterns during the COVID-19 pandemic, the impacts of non-compulsory measures in Tokyo, Japan on human mobility patterns has been under-studied. Here, we…

To reduce the spread and the effect of the COVID-19 global pandemic, non-pharmaceutical interventions (NPIs) have been adopted on multiple occasions by governments. In particular lockdown policies, i.e., generalized mobility restrictions,…

Physics and Society · Physics 2021-08-06 Alex Smolyak , Giovanni Bonaccorsi , Andrea Flori , Fabio Pammolli , Shlomo Havlin

The COVID-19 pandemic and the implementation of social distancing policies have rapidly changed people's visiting patterns, as reflected in mobility data that tracks mobility traffic using location trackers on cell phones. However, the…

Software Engineering · Computer Science 2024-05-14 Prajindra Sankar Krishnan , Chai Phing Chen , Gamal Alkawsi , Sieh Kiong Tiong , Luiz Fernando Capretz

Mobility data at EU scale can help understand the dynamics of the pandemic and possibly limit the impact of future waves. Still, since a reliable and consistent method to measure the evolution of contagion at international level is missing,…

The outbreak of COVID-19 highlights the need for a more harmonized, less privacy-concerning, easily accessible approach to monitoring the human mobility that has been proved to be associated with the viral transmission. In this study, we…

Social and Information Networks · Computer Science 2020-07-03 Xiao Huang , Zhenlong Li , Yuqin Jiang , Xiaoming Li , Dwayne Porter

Understanding how efforts to limit exposure to COVID-19 have altered electricity demand provides insights not only into how dramatic restrictions shape electricity demand but also about future electricity use in a post-COVID-19 world. We…

Epidemic outbreaks are an important healthcare challenge, especially in developing countries where they represent one of the major causes of mortality. Approaches that can rapidly target subpopulations for surveillance and control are…

Social and Information Networks · Computer Science 2018-07-04 Stefania Rubrichi , Zbigniew Smoreda , Mirco Musolesi

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

The rapid spread of COVID-19 has affected thousands of people from different socio-demographic groups all over the country. A decisive step in preventing or slowing the outbreak is the use of mobility interventions, such as government…

Computers and Society · Computer Science 2020-07-23 Aliakbar Kabiri , Aref Darzi , Weiyi Zhou , Qianqian Sun , Lei Zhang

People mobility data sets played a role during the COVID-19 pandemic in assessing the impact of lockdown measures and correlating mobility with pandemic trends. Two global data sets were Apple's Mobility Trends Reports and Google's…

Applications · Statistics 2022-10-19 Francesco Finazzi

With the COVID-19 pandemic, quarantines took place across the globe. In the aim of stopping or slowing the progression of the COVID-19 contamination, many countries have deployed a contact tracing system to notify persons that be in contact…

Cryptography and Security · Computer Science 2020-10-09 Mohamed-Lamine Messai , Hamida Seba

With the logistic challenges faced by most countries for the production, distribution, and application of vaccines for the novel coronavirus disease~(COVID-19), social distancing~(SD) remains the most tangible approach to mitigate the…

This work presents the analysis of the impact of restrictions on mobility in Italy, with a focus on the period from 6 November 2020 to 31 January 2021, when a three-tier system based on different levels of risk was adopted and applied at…

The COVID-19 outbreak has dramatically changed travel behavior in affected cities. The C2SMART research team has been investigating the impact of COVID-19 on mobility and sociability. New York City (NYC) and Seattle, two of the cities most…

Human-Computer Interaction · Computer Science 2020-06-29 Fan Zuo , Jingxing Wang , Jingqin Gao , Kaan Ozbay , Xuegang Jeff Ban , Yubin Shen , Hong Yang , Shri Iyer