AIMC Topic: COVID-19

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What explains adolescents' physical activity and sports participation during the COVID-19 pandemic? - an interpretable machine learning approach.

Journal of sports sciences Sep 19, 2024
Adolescents' physical activity (PA) and sports participation declined due to the COVID-19 pandemic. This study aimed to determine the critical socio-ecological factors for PA and sports participation using a machine learning approach. We did a cross-...
Adolescent Child Socioeconomic Factors Age Factors Sports Screen Time SARS-CoV-2 Humans Cross-Sectional Studies Machine Learning Male Pandemics Exercise COVID-19 Female Educational Status
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Investigating the mechanisms of internet gaming disorder and developing intelligent monitoring models using artificial intelligence technologies: protocol of a prospective cohort.

BMC public health Sep 18, 2024
BACKGROUND: Internet gaming disorder (IGD), recognized by the World Health Organization (WHO), significantly impacts adolescent mental and physical health. With a global prevalence of 3.05%, rates are higher in Asia, especially among adolescents and ...
Humans Child Video Games Internet Addiction Disorder Female Artificial Intelligence COVID-19 Male Prospective Studies China Adolescent
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Regional and National Trends in Tuberculosis Research in South Asian Association for Regional Cooperation Countries: Post-COVID-19 Pandemic Machine Learning Factorial Analysis.

International journal of mycobacteriology Sep 14, 2024
BACKGROUND: The number of tuberculosis (TB)-related morbidities and mortalities is still high in the South-east Asian region. This study was performed to characterize and visualize the post-coronavirus disease 2019 (COVID-19) TB research in South Asi...
Tuberculosis Asia Asia, Southeastern Humans Machine Learning COVID-19 SARS-CoV-2 Biomedical Research Bibliometrics
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Long-term trend prediction of pandemic combining the compartmental and deep learning models.

Scientific reports Sep 9, 2024
Predicting the spread trends of a pandemic is crucial, but long-term prediction remains challenging due to complex relationships among disease spread stages and preventive policies. To address this issue, we propose a novel approach that utilizes dat...
SARS-CoV-2 Humans Deep Learning Pandemics COVID-19
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Innovation in public health surveillance for social distancing during the COVID-19 pandemic: A deep learning and object detection based novel approach.

PloS one Sep 9, 2024
The Corona Virus Disease (COVID-19) has a huge impact on all of humanity, and people's disregard for COVID-19 regulations has sped up the disease's spread. Our study uses a state-of-the-art object detection model like YOLOv4 (You Only Look Once, vers...
Unmanned Aerial Devices Humans SARS-CoV-2 Pandemics Deep Learning COVID-19 Public Health Surveillance Physical Distancing
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Investigation of the potential molecular mechanisms of acupuncture in the treatment of long COVID: a bioinformatics approach.

Cellular and molecular biology (Noisy-le-Grand, France) Sep 8, 2024
Long COVID is a poorly understood condition characterized by persistent symptoms following the acute phase of COVID-19, including fatigue, cognitive impairment, and joint pain. Acupuncture, a key component of traditional Chinese medicine treatment, h...
Humans COVID-19 Medicine, Chinese Traditional Post-Acute COVID-19 Syndrome Acupuncture Therapy SARS-CoV-2 Gene Ontology Protein Interaction Maps Computational Biology
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Plasma cell-free RNA signatures of inflammatory syndromes in children.

Proceedings of the National Academy of Sciences of the United States of America Sep 6, 2024
Inflammatory syndromes, including those caused by infection, are a major cause of hospital admissions among children and are often misdiagnosed because of a lack of advanced molecular diagnostic tools. In this study, we explored the utility of circul...
Cell-Free Nucleic Acids COVID-19 Mucocutaneous Lymph Node Syndrome Biomarkers Diagnosis, Differential Female Male Bacterial Infections Humans Child Machine Learning Virus Diseases Infant Systemic Inflammatory Response Syndrome Adolescent Inflammation Child, Preschool
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A Machine Learning Method for Allocating Scarce COVID-19 Monoclonal Antibodies.

JAMA health forum Sep 6, 2024
IMPORTANCE: During the COVID-19 pandemic, the effective distribution of limited treatments became a crucial policy goal. Yet, limited research exists using electronic health record data and machine learning techniques, such as policy learning trees (...
Health Care Rationing Emergency Use Authorization Random Forest United States Food and Drug Administration COVID-19 Drug Treatment Male Middle Aged Severity of Illness Index Adolescent Antibodies, Viral Health Policy Antibodies, Monoclonal Hospitalization Aged Young Adult Adult Humans Electronic Health Records Machine Learning Female COVID-19 SARS-CoV-2 Retrospective Studies
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Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID-19.

Statistics in medicine Sep 5, 2024
From early in the coronavirus disease 2019 (COVID-19) pandemic, there was interest in using machine learning methods to predict COVID-19 infection status based on vocal audio signals, for example, cough recordings. However, early studies had limitati...
COVID-19 SARS-CoV-2 Public Health United Kingdom Humans Machine Learning
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A Joint Classification Method for COVID-19 Lesions Based on Deep Learning and Radiomics.

Tomography (Ann Arbor, Mich.) Sep 5, 2024
Pneumonia caused by novel coronavirus is an acute respiratory infectious disease. Its rapid spread in a short period of time has brought great challenges for global public health. The use of deep learning and radiomics methods can effectively disting...
Humans Deep Learning SARS-CoV-2 Radiomics Neural Networks, Computer Lung COVID-19 Tomography, X-Ray Computed
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