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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…

Metapopulation models have been a popular tool for the study of epidemic spread over a network of highly populated nodes (cities, provinces, countries) and have been extensively used in the context of the ongoing COVID-19 pandemic. In the…

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…

Evaluating relative changes leads to additional insights which would remain hidden when only evaluating absolute changes. We analyze a dataset describing mobility of mobile phones in Austria before, during COVID-19 lock-down measures until…

Physics and Society · Physics 2020-09-09 Georg Heiler , Allan Hanbury , Peter Filzmoser

In this work we review recent works analyzing mobility data and its application in understanding the epidemic dynamics for the COVID-19 pandemic and more. We also discuss privacy-preserving solutions to analyze the mobility data in order to…

Computers and Society · Computer Science 2021-09-17 Abhishek Singh , Alok Mathur , Alka Asthana , Juliet Maina , Jade Nester , Sai Sri Sathya , Santanu Bhattacharya , Vidya Phalke

With more than 1.7 million COVID-19 deaths, identifying effective measures to prevent COVID-19 is a top priority. We developed a mathematical model to simulate the COVID-19 pandemic with digital contact tracing and testing strategies. The…

Social and Information Networks · Computer Science 2020-12-29 Daniel Xu

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…

As the COVID-19 epidemic began to worsen in the first months of 2020, stringent lockdown policies were implemented in numerous cities throughout the world to control human transmission and mitigate its spread. Although transportation…

Computer Vision and Pattern Recognition · Computer Science 2021-07-15 Chen Wu , Sihan Zhu , Jiaqi Yang , Meiqi Hu , Bo Du , Liangpei Zhang , Lefei Zhang , Chengxi Han , Meng Lan

The ability to rewire ties in communication networks is vital for large-scale human cooperation and the spread of new ideas. We show that lack of researcher co-location during the COVID-19 lockdown caused the loss of more than 4,800 weak…

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

We employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify…

Physics and Society · Physics 2020-09-11 Giacomo Cacciapaglia , Corentin Cot , Francesco Sannino

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

With the onset of COVID-19 and the resulting shelter in place guidelines combined with remote working practices, human mobility in 2020 has been dramatically impacted. Existing studies typically examine whether mobility in specific…

Machine Learning · Computer Science 2022-01-19 Justin Elarde , Joon-Seok Kim , Hamdi Kavak , Andreas Züfle , Taylor Anderson

To prevent the outbreak of the Coronavirus disease (COVID-19), many countries around the world went into lockdown and imposed unprecedented containment measures. These restrictions progressively produced changes to social behavior and…

The COVID-19 pandemic offers an unprecedented natural experiment providing insights into the emergence of collective behavioral changes of both exogenous (government mandated) and endogenous (spontaneous reaction to infection risks) origin.…

In 2020, Brazil was the leading country in COVID-19 cases in Latin America, and capital cities were the most severely affected by the outbreak. Climates vary in Brazil due to the territorial extension of the country, its relief, geography,…

Machine Learning · Computer Science 2021-05-11 Tiago Tiburcio da Silva , Rodrigo Francisquini , Mariá C. V. Nascimento

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

This study examined the temporal aspect of COVID-19-related health-seeking behavior in Metro Manila, National Capital Region, Philippines through a network density analysis of Google Trends data. A total of 15 keywords across five…

Computers and Society · Computer Science 2025-03-31 Michael T. Lopez , Cheska Elise Hung , Maria Regina Justina E. Estuar

The explosive nature of Covid-19 transmission drastically altered the rhythm of daily life by forcing billions of people to stay at their homes. A critical challenge facing transportation planners is to identify the type and the extent of…

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