English
Related papers

Related papers: On the Use of Data from Multiple Mobile Network Op…

200 papers

This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in assessing the effectiveness of control measures such as physical…

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

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

The Covid-19 pandemic has affected the world at multiple levels. Data sharing was pivotal for advancing research to understand the underlying causes and implement effective containment strategies. In response, many countries have promoted…

Databases · Computer Science 2024-09-02 Tânia Carvalho , Luís Antunes , Cristina Costa , Nuno Moniz

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 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

The policies implemented to hinder the COVID-19 outbreak represent one of the largest critical events in history. The understanding of this process is fundamental for crafting and tailoring post-disaster relief. In this work we perform a…

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

This paper discusses the aspects of data reliability and user privacy for the emerging practice of mobile phone based contact tracing for the COVID-19 pandemic. Various countries and large technology companies have already used or plan to…

Cryptography and Security · Computer Science 2020-06-02 Georgios Magklaras , Lucia Nikolaia Lopez Bojorquez

In their response to the COVID-19 outbreak, governments face the dilemma to balance public health and economy. Mobility plays a central role in this dilemma because the movement of people enables both economic activity and virus spread. We…

Governments, Healthcare, and Private Organizations in the global scale have been using digital tracking to keep COVID-19 outbreaks under control. Although this method could limit pandemic contagion, it raises significant concerns about user…

Cryptography and Security · Computer Science 2021-04-08 Callie Monroe , Faiza Tazi , Sanchari Das

The coronavirus (COVID-19) has appeared as the greatest challenge due to its continuous structural evolution as well as the absence of proper antidotes for this particular virus. The virus mainly spreads and replicates itself among mass…

Computers and Society · Computer Science 2020-07-07 Md. Tanvir Rahman , Risala T. Khan , Muhammad R. A. Khandaker , Md. Sifat Ar Salan

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,…

During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage…

Machine Learning · Computer Science 2021-01-05 Cornelius Fritz , Emilio Dorigatti , David Rügamer

COVID-19 has disrupted the global economy and well-being of people at an unprecedented scale and magnitude. To contain the disease, an effective early warning system that predicts the locations of outbreaks is of crucial importance. Studies…

Social and Information Networks · Computer Science 2020-10-27 Takahiro Yabe , Kota Tsubouchi , Satish V Ukkusuri

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…

In March 2020, the Austrian government introduced a widespread lock-down in response to the COVID-19 pandemic. Based on subjective impressions and anecdotal evidence, Austrian public and private life came to a sudden halt. Here we assess…

Computers and Society · Computer Science 2020-08-25 Georg Heiler , Tobias Reisch , Jan Hurt , Mohammad Forghani , Aida Omani , Allan Hanbury , Farid Karimipour

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 outbreak of coronavirus disease 2019 (covid-19) is imposing a severe worldwide lock-down. Contact tracing based on smartphones' applications (apps) has emerged as a possible solution to trace contagions and enforce a more sustainable…

Cryptography and Security · Computer Science 2021-06-08 Davide Andreoletti , Omran Ayoub , Silvia Giordano , Massimo Tornatore , Giacomo Verticale
‹ Prev 1 2 3 10 Next ›