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Related papers: An Intersectional Analysis of Long COVID Prevalenc…

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Objective: Dyspnea is one of the most common symptoms for many pulmonary diseases including COVID-19. Clinical assessment of dyspnea is mainly performed by subjective self-report, which has limited accuracy and is challenging for continuous…

Systems and Control · Electrical Eng. & Systems 2022-11-08 Zijing Zhang , Jianlin Zhou , Thomas B. Conroy , Samuel Chung , Justin Choi , Patrick Chau , Daniel B. Green , Ana C. Krieger , Edwin C. Kan

COVID-19 had a strong and disruptive impact on our society, and yet further analyses on most relevant factors explaining the spread of the pandemic are needed. Interdisciplinary studies linking epidemiological, mobility, environmental, and…

In response to the COVID-19 pandemic, governments have implemented policies to curb the spread of the novel virus. Little is known about how these policies impact various groups in society. This paper explores the relationship between…

To draw real-world evidence about the comparative effectiveness of multiple time-varying treatments on patient survival, we develop a joint marginal structural survival model and a novel weighting strategy to account for time-varying…

Methodology · Statistics 2023-08-08 Liangyuan Hu , Jiayi Ji , Himanshu Joshi , Erick Scott , Fan Li

The COVID-19 pandemic has undoubtedly disrupted the scientific enterprise, but we lack empirical evidence on the nature and magnitude of these disruptions. Here we report the results of a survey of approximately 4,500 Principal…

In this study, we leveraged machine learning techniques to identify risk factors associated with post-COVID-19 mental health disorders. Our analysis, based on data collected from 669 patients across various provinces in Iraq, yielded…

Machine Learning · Computer Science 2023-09-29 Maitham G. Yousif , Fadhil G. Al-Amran , Hector J. Castro

During the COVID-19 pandemic, many institutions such as universities and workplaces implemented testing regimens with every member of some population tested longitudinally, and those testing positive isolated for some time. Although the…

Methodology · Statistics 2023-04-19 Patrick M. Schnell , Matthew Wascher , Grzegorz A. Rempala

Long COVID is a multisystem condition characterized by persistent symptoms such as fatigue, cognitive impairment, and systemic inflammation, following COVID-19 infection, yet its mechanisms remain poorly understood. In this study, we…

Molecular Networks · Quantitative Biology 2025-01-30 Jaesub Park , Woochang Hwang , Seokjun Lee , Hyun Chang Lee , Méabh MacMahon , Matthias Zilbauer , Namshik Han

The COVID pandemic and the measures which were taken had effect over the mental health of persons. The current paper proposes a concept that supports the performance of students by analyzing three ways of distance learning, namely text,…

Human-Computer Interaction · Computer Science 2021-01-05 Iuliana Marin

Everybody knows very well about the COVID-19 pandemic, lockdown, and its impacts and effects on every field of life, from childhood to senior citizens, from local to global. The underlying research study focuses on students' involvement in…

Other Computer Science · Computer Science 2023-01-03 Muhammad Nadeem , Faisal Bukhari , Ali Hussain

Life-expectancy is a complex outcome driven by genetic, socio-demographic, environmental and geographic factors. Increasing socio-economic and health disparities in the United States are propagating the longevity-gap, making it a cause for…

Applications · Statistics 2018-11-20 Tavpritesh Sethi , Anant Mittal , Shubham Maheshwari , Samarth Chugh

The COVID-19 pandemic has significantly impacted daily activity rhythms and life routines. Understanding the dynamics of these impacts on different groups of people is essential for creating environments where people's lives and well-being…

Human-Computer Interaction · Computer Science 2024-03-11 Nguyen Luong , Ian Barnett , Talayeh Aledavood

While the acute phase of the COVID-19 pandemic has subsided, its long-term effects persist through Post-Acute Sequelae of COVID-19 (PASC), commonly known as Long COVID. There remains substantial uncertainty regarding both its duration and…

Non-pharmacologic interventions (NPIs) are one method to mitigate the spread and effects of the COVID-19 pandemic in the United States. NPIs promote protective actions to reduce exposure risk and can reduce mobility patterns within…

Physics and Society · Physics 2021-07-16 Natalie Coleman , Xinyu Gao , Jared DeLeon , Ali Mostafavi

The risk of diseases such as heart attack and high blood pressure could be reduced by adequate physical activity. However, even though majority of general population claims to perform some physical exercise, only a minority exercises enough…

Neural and Evolutionary Computing · Computer Science 2011-05-10 Tanja Magoc , Dejan Magoc

Introduction: For COVID-19 patients accurate prediction of disease severity and mortality risk would greatly improve care delivery and resource allocation. There are many patient-related factors, such as pre-existing comorbidities that…

Epidemiologic and genetic studies in chronic obstructive pulmonary disease (COPD) and many complex diseases suggest subgroup disparities (e.g., by sex). We consider this problem from the standpoint of integrative analysis where we combine…

Methodology · Statistics 2023-09-26 J. Butts , C. Wendt , R. Bowler , C. P. Hersh , Q. Long , L. Eberly , S. E. Safo

This study focuses on an important transport-related long-term effect of the COVID-19 pandemic in the United States: an increase in telecommuting. Analyzing a nationally representative panel survey of adults, we find that 40-50% of workers…

The collection of updated data on social contact patterns following the COVID-19 pandemic disruptions is crucial for future epidemiological assessments and evaluating non-pharmaceutical interventions (NPIs) based on physical distancing. We…

The ongoing COVID-19 pandemic has progressed with varying degrees of intensity in individual countries, suggesting it is important to analyse factors that vary between them. We study measures of `population-weighted density', which capture…