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Related papers: The impact of COVID-19 on relative changes in aggr…

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We develop a minimalist compartmental model to study the impact of mobility restrictions in Italy during the Covid-19 outbreak. We show that an early lockdown shifts the epidemic in time, while that beyond a critical value of the lockdown…

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…

The COVID-19 pandemic and the resulting economic recession negatively affected many people's physical, social, and psychological health and has been shown to change population-level mobility, but little attention has been given to park…

Physics and Society · Physics 2024-02-22 Zahra Ghadiri , Afra Mashhadi , Marc Timme , Fakhteh Ghanbarnejad

In Fall 2020, several European countries reported rapid increases in COVID-19 cases along with growing estimates of the effective reproduction rates. Such an acceleration in epidemic spread is usually attributed to time-dependent effects,…

Populations and Evolution · Quantitative Biology 2022-11-30 Nazmi Burak Budanur , Björn Hof

Epidemics are emergent phenomena depending on the epidemiological characteristics of pathogens and the interaction and movement of people. Public transit systems have provided much important information about the movement of people, but…

Social and Information Networks · Computer Science 2018-09-24 Zhanwei Du , Chao Gao , Yuan Bai , Yongjian Yang , Petter Holme

Most of the studies related to human mobility are focused on intra-country mobility. However, there are many scenarios (e.g., spreading diseases, migration) in which timely data on international commuters are vital. Mobile phones represent…

Computers and Society · Computer Science 2022-04-13 Massimiliano Luca , Bruno Lepri , Enrique Frias-Martinez , Andra Lutu

Statistics on migration flows are often derived from census data, which suffer from intrinsic limitations, including costs and infrequent sampling. When censuses are used, there is typically a time gap - up to a few years - between the data…

Computers and Society · Computer Science 2021-06-01 Massimiliano Luca , Gianni Barlacchi , Nuria Oliver , Bruno Lepri

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

The implementation of social distancing policies is key to reducing the impact of the current COVID-19 pandemic. However, their effectiveness ultimately depends on human behavior. In the United States, compliance with social distancing…

Physics and Society · Physics 2021-03-29 Christopher Parker , Jorge M. Mejia , Franco Pestilli

Background: The impact of individual non-pharmaceutical interventions (NPI) such as state-wide stay-at-home orders, school closures and gathering size limitations, on the COVID-19 epidemic is unknown. Understanding the impact that above…

Populations and Evolution · Quantitative Biology 2020-07-27 Ian E. Fellows , Rachel B. Slayton , Avi J. Hakim

The impact of the ongoing COVID-19 pandemic is being felt in all spheres of our lives -- cutting across the boundaries of nation, wealth, religions or race. From the time of the first detection of infection among the public, the virus…

Physics and Society · Physics 2021-10-12 Soumyajyoti Biswas , Amit Kr Mandal

The article covers electricity demand shift effects due to COVID-19 shutdowns in various European countries. We utilize high-dimensional regression techniques to exploit the structural breaks in demand profiles due to the shutdowns. We…

Physics and Society · Physics 2021-02-02 Michał Narajewski , Florian Ziel

In this paper, we review some advances made recently in the study of mobile phone datasets. This area of research has emerged a decade ago, with the increasing availability of large-scale anonymized datasets, and has grown into a…

Physics and Society · Physics 2015-02-12 Vincent D. Blondel , Adeline Decuyper , Gautier Krings

Using anonymized mobility data from Facebook users and publicly available information on the Italian population, we model the circulation of people in Italy before and during the early phase of the SARS-CoV-2 pandemic (COVID-19). We perform…

Physics and Society · Physics 2023-06-09 Jules Morand , Shoichi Yip , Yannis Velegrakis , Gianluca Lattanzi , Raffaello Potestio , Luca Tubiana

Traditional AI approaches in customized (personalized) contextual pricing applications assume that the data distribution at the time of online pricing is similar to that observed during training. However, this assumption may be violated in…

Machine Learning · Computer Science 2021-12-24 Abhinav Garg , Naman Shukla , Lavanya Marla , Sriram Somanchi

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

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

Rapid urbanization and climate change trends are intertwined with complex interactions of various social, economic, and political factors. The increased trends of disaster risks have recently caused numerous events, ranging from…

Physics and Society · Physics 2021-08-09 Takahiro Yabe , Nicholas K W Jones , P Suresh C Rao , Marta C Gonzalez , Satish V Ukkusuri

Understanding where and when human mobility is associated with disease infection is crucial for implementing location-based health care policy and interventions. Previous studies on COVID-19 have revealed the correlation between human…

Social and Information Networks · Computer Science 2021-09-29 Hoeyun Kwon , Kaitlyn Hom , Mark Rifkin , Beichen Tian , Caglar Koylu

Contact patterns play a key role in the spread of respiratory infectious diseases in human populations. During the COVID-19 pandemic the regular contact patterns of the population has been disrupted due to social distancing both imposed by…

Social and Information Networks · Computer Science 2021-11-30 Yining Zhao , Samantha ODell , Xiaohan Yang , Jingyi Liao , Kexin Yang , Laura Fumanelli , Tao Zhou , Jiancheng Lv , Marco Ajelli , Quan-Hui Liu