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The novel coronavirus SARS-CoV-2, commonly referred to as COVID-19, triggered the global pandemic. Although the nature of the international spread of infection is an important issue, extracting diffusion networks from observations is…

Social and Information Networks · Computer Science 2024-01-12 Hiroyasu Inoue , Wataru Souma , Yoshi Fujiwara

In recent months, COVID-19 has become a global pandemic and had a huge impact on the world. People under different conditions have very different attitudes toward the epidemic. Due to the real-time and large-scale nature of social media, we…

Social and Information Networks · Computer Science 2020-06-03 Yuqi Gao , Hang Hua , Jiebo Luo

The Covid-19 outbreak, beyond its tragic effects, has changed to an unprecedented extent almost every aspect of human activity throughout the world. At the same time, the pandemic has stimulated enormous amount of research by scientists…

Software Engineering · Computer Science 2020-04-22 Konstantinos Georgiou , Nikolaos Mittas , Lefteris Angelis , Alexander Chatzigeorgiou

In response to COVID-19, a vast number of visualizations have been created to communicate information to the public. Information exposure in a public health crisis can impact people's attitudes towards and responses to the crisis and risks,…

Human-Computer Interaction · Computer Science 2021-01-14 Yixuan Zhang , Yifan Sun , Lace Padilla , Sumit Barua , Enrico Bertini , Andrea G. Parker

Since the onset of the COVID-19 pandemic in 2019, there has been a concerted effort to develop cost-effective, non-invasive, and rapid AI-based tools. These tools were intended to alleviate the burden on healthcare systems, control the…

Computers and Society · Computer Science 2023-11-27 Yingying Fang , Xiaodan Xing , Shiyi Wang , Simon Walsh , Guang Yang

When the novel coronavirus disease SARS-CoV2 (COVID-19) was officially declared a pandemic by the WHO in March 2020, the scientific community had already braced up in the effort of making sense of the fast-growing wealth of data gathered by…

Populations and Evolution · Quantitative Biology 2020-05-25 Timoteo Carletti , Duccio Fanelli , Francesco Piazza

When conducting COVID-19-related research, mathematicians may find themselves in public service roles. They might engage in policy discussions, collaborate with politicians and other non-scientists, and use the predictive power of…

History and Overview · Mathematics 2022-12-23 Maurice Chiodo , Dennis Müller

Many countries have introduced social distancing rules during the COVID-19 pandemic in order to reduce spreading of the virus in public spaces. This has inspired research on pedestrian dynamics in more ways than just one. Many studies have…

Physics and Society · Physics 2023-08-14 Mohcine Chraibi , Andreas Schadschneider , Antoine Tordeux

The choices that researchers make while conducting a statistical analysis usually have a notable impact on the results. This fact has become evident in the ongoing research of the association between the environment and the evolution of the…

Applications · Statistics 2020-09-29 Álvaro Briz-Redón

The coronavirus disease 2019 (COVID-19) pandemic has spread rapidly across the world, leading to enormous amounts of human death and economic loss. Until definitive preventive or curative measures are developed, policies regarding testing,…

Intent of this research is to explore how mathematical models, specifically Susceptible-Infected-Removed (SIR) model, can be utilized to forecast peak outbreak timeline of COVID-19 epidemic amongst a population of interest starting from the…

Populations and Evolution · Quantitative Biology 2020-09-14 Amit Tewari

The ongoing coronavirus disease 2019 (COVID-19) pandemic has wreaked havoc worldwide with millions of lives claimed, human travel restricted and economic development halted. Leveraging city-level mobility and case data, our analysis shows…

Physics and Society · Physics 2022-06-29 Yafei Zhang , Lin Wang , Jonathan J. H. Zhu , Xiaofan Wang

Dashboards have arguably been the most used visualizations during the COVID-19 pandemic. They were used to communicate its evolution to national governments for disaster mitigation, to the public domain to inform about its status, and to…

Human-Computer Interaction · Computer Science 2025-03-21 Alessio Arleo , Rita Borgo , Jörn Kohlhammer , Roy Ruddle , Holger Scharlach , Xiaoru Yuan

The COVID-19 pandemic has presented unprecedented challenges worldwide, with its impact varying significantly across different geographic and socioeconomic contexts. This study employs a clustering analysis to examine the diversity of…

Computational Engineering, Finance, and Science · Computer Science 2024-08-06 Morteza Maleki

A novel coronavirus disease has emerged (later named COVID-19) and caused the world to enter a new reality, with many direct and indirect factors influencing it. Some are human-controllable (e.g. interventional policies, mobility and the…

Machine Learning · Computer Science 2021-01-12 Haonan Wu , Rajarshi Banerjee , Indhumathi Venkatachalam , Daniel Percy-Hughes , Praveen Chougale

The COVID-19 pandemic began over two years ago, yet schools, businesses, and other organizations are still struggling to keep the risk of disease outbreak low while returning to (near) normal functionality. Observations from these past…

Populations and Evolution · Quantitative Biology 2022-02-02 Sarah C. Fay , Dalton J. Jones , Munther A. Dahleh , A. E. Hosoi

In this study, we propose a clustering-based approach on time-series data to capture COVID-19 spread patterns in the early period of the pandemic. We analyze the spread dynamics based on the early and post stages of COVID-19 for different…

Physics and Society · Physics 2021-11-05 Mehedi Hassan , Md Enamul Haque , Mehmet Engin Tozal

The Covid-19 pandemic presented an unprecedented global public health emergency, and concomitantly an unparalleled opportunity to investigate public responses to adverse social conditions. The widespread ability to post messages to social…

Social and Information Networks · Computer Science 2022-06-20 Richard Plant , Amir Hussain

Over the past few months, the outbreak of Coronavirus disease (COVID-19) has been expanding over the world. A reliable and accurate dataset of the cases is vital for scientists to conduct related research and for policy-makers to make…

Applications · Statistics 2020-12-01 Guannan Wang , Zhiling Gu , Xinyi Li , Shan Yu , Myungjin Kim , Yueying Wang , Lei Gao , Li Wang

The COVID-19 pandemic has impacted billions of people around the world. To capture some of these impacts in the United States, we are conducting a nationwide longitudinal survey collecting information about activity and travel-related…