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Related papers: An Intersectional Analysis of Long COVID Prevalenc…

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This study leverages large-scale travel surveys for over 200,000 residents across Boston, Chicago, Hong Kong, London, and Sao Paulo. With rich individual-level data, we make systematic comparisons and reveal patterns in social mixing, which…

Artificial Intelligence · Computer Science 2026-04-15 Z. Fan , B. P. Y. Loo , F. Duarte , C. Ratti , E. Moro

Characterizing the cumulative burden of COVID-19 by race/ethnicity is of the utmost importance for public health researchers and policy makers in order to design effective mitigation measures. This analysis is hampered, however, by…

Methodology · Statistics 2024-04-10 Rob Trangucci , Yang Chen , Jon Zelner

Long COVID continues to challenge public health by affecting a significant segment of individuals who have recovered from acute SARS-CoV-2 infection yet endure prolonged and often debilitating symptoms. Social media has emerged as a vital…

Social and Information Networks · Computer Science 2024-12-30 Nirmalya Thakur

The worldwide outbreak of COVID-19 has posed a dire threat to the public. Human mobility has changed in various ways over the course of the pandemic. Despite current studies on common mobility metrics, research specifically on…

Physics and Society · Physics 2020-07-08 Weiyi Zhou , Minha Lee , Qianqian Sun , Weiyu Luo , Chenfeng Xiong , Lei Zhang

The COVID-19 pandemic has caused major disturbance to human life. An important reason behind the widespread social anxiety is the huge uncertainty about the pandemic. A fundamental uncertainty is how many or what percentage of people have…

Populations and Evolution · Quantitative Biology 2021-03-04 Donghui Yan , Ying Xu , Pei Wang

Human content moderators (CMs) routinely review distressing digital content at scale. Beyond exposure, the work context (e.g., workload, team structure, and support) may shape mental health outcomes. We examined a cross sectional…

Human-Computer Interaction · Computer Science 2025-11-14 Gabrielle M Gauthier , Eesha Ali , Amna Asim , Sarah Cornell-Maier , Lori A. Zoellner

This study explores the effects of COVID-19 confinement in the students performance in higher education. Using a field experiment of 458 students from three different subjects in Universidad Autonoma de Madrid (Spain), we study the…

Computers and Society · Computer Science 2020-04-22 T. Gonzalez , M. A. de la Rubia , K. P. Hincz , M. Comas-Lopez , L. Subirats , S. Fort , G. M. Sacha

We investigated the negative relationship between mortality and COVID-19 vaccination at ecological level, which has been established through clinical trials and other investigations at the individual level. We conducted an exploratory,…

Quantitative Methods · Quantitative Biology 2022-07-26 Cosima Rughinis , Mihai Dima , Simona-Nicoleta Vulpe , Razvan Rughinis , Sorina Vasile

The coronavirus disease 2019 (COVID-19) pandemic has exerted a profound impact on patients with end-stage renal disease relying on kidney dialysis to sustain their lives. Motivated by a request by the U.S. Centers for Medicare & Medicaid…

Methodology · Statistics 2022-09-02 Wenbo Wu , John D. Kalbfleisch , Jeremy M. G. Taylor , Jian Kang , Kevin He

In 2020, the COVID-19 pandemic resulted in a rapid response from governments and researchers worldwide. As of late 2023, over millions have died as a result of COVID-19, with many COVID-19 survivors going on to experience long-term effects…

Computers and Society · Computer Science 2023-12-25 Yo Yehudi , Lukas Hughes-Noehrer , Carole Goble , Caroline Jay

The COVID-19 pandemic led to an infodemic where an overwhelming amount of COVID-19 related content was being disseminated at high velocity through social media. This made it challenging for citizens to differentiate between accurate and…

Computation and Language · Computer Science 2023-05-09 Yida Mu , Ye Jiang , Freddy Heppell , Iknoor Singh , Carolina Scarton , Kalina Bontcheva , Xingyi Song

To mitigate the spread of COVID-19 pandemic, decision-makers and public authorities have announced various non-pharmaceutical policies. Analyzing the causal impact of these policies in reducing the spread of COVID-19 is important for future…

Machine Learning · Computer Science 2021-06-03 Jing Ma , Yushun Dong , Zheng Huang , Daniel Mietchen , Jundong Li

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

This paper is part of the Global Income Dynamics Project cross-country comparison of earnings inequality, volatility, and mobility. Using data from the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) infrastructure…

General Economics · Economics 2021-12-14 Kevin L. McKinney , John M. Abowd , Hubert P. Janicki

In the healthcare industry, researchers have been developing machine learning models to automate diagnosing patients with respiratory illnesses based on their breathing patterns. However, these models do not consider the demographic biases,…

Machine Learning · Computer Science 2025-01-10 Rachel Pfeifer , Sudip Vhaduri , James Eric Dietz

In this paper, we propose a deep learning model to forecast the range of increase in COVID-19 infected cases in future days and we present a novel method to compute equidimensional representations of multivariate time series and…

Computers and Society · Computer Science 2020-08-04 Ankit Ramchandani , Chao Fan , Ali Mostafavi

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…

The novel coronavirus SARS-CoV-2 and the COVID-19 illness it causes have inspired unprecedented levels of multidisciplinary research in an effort to address a generational public health challenge. In this work we conduct a scientometric…

Digital Libraries · Computer Science 2022-01-11 Eoghan Cunningham , Barry Smyth , Derek Greene

We decompose the U.S. consumption inequality distributional changes during the COVID-19 phase. Analyzing the Consumption Expenditure Interview Survey data, we decompose observed changes in consumption inequality into components attributable…

General Economics · Economics 2026-05-19 Utkarsh Anand , Xin Liu

The COVID-19 pandemic has created unprecedented challenges for governments and healthcare systems worldwide, highlighting the critical importance of understanding the factors that contribute to virus transmission. This study aimed to…

Machine Learning · Computer Science 2023-07-04 Md Khairul Islam , Tyler Valentine , Royal Wang , Levi Davis , Matt Manner , Judy Fox