AIMC Topic: Quarantine

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Predicting sleep quality among college students during COVID-19 lockdown using a LASSO-based neural network model.

BMC public health Feb 21, 2025
BACKGROUND: In March 2022, a new outbreak of COVID-19 emerged in Quanzhou, leading to the implementation of strict lockdown management measures in colleges. While existing research has indicated that the pandemic has had a significant impact on sleep...
Young Adult Humans Adult Cross-Sectional Studies Universities Male Neural Networks, Computer Sleep Quality COVID-19 Quarantine Female Students Sleep Wake Disorders China Surveys and Questionnaires Adolescent
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Evaluating generative artificial intelligence's limitations in health policy identification and interpretation.

PloS one Dec 12, 2024
Policy epidemiology utilizes human subject-matter experts (SMEs) to systematically surface, analyze, and categorize legally-enforceable policies. The Analysis and Mapping of Policies for Emerging Infectious Diseases project systematically collects an...
Artificial Intelligence Vaccination Health Policy Quarantine United Nations Humans
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Does COVID-19 lockdown matter for air pollution in the short and long run in China? A machine learning approach to policy evaluation.

Journal of environmental management Sep 24, 2024
This paper leverages a data-driven two-step approach to effectively evaluate the effects of COVID-19 lockdown on air pollution in both the short and long-term in China. Using air pollution, meteorological conditions, and air mass clusters from 34 air...
Environmental Monitoring Machine Learning Air Pollutants Particulate Matter Humans Air Pollution COVID-19 Quarantine SARS-CoV-2 Beijing China
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Modeling and control of COVID-19 disease using deep reinforcement learning method.

Medical & biological engineering & computing Jun 28, 2024
The prevalence of epidemics has been studied by researchers in various fields. In the last 2 years, the outbreak of COVID-19 has affected the health, economy, and industry of communities around the world and has caused the death of millions of people...
Humans COVID-19 Algorithms SARS-CoV-2 Deep Learning Quarantine
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Construction and validation of machine learning algorithm for predicting depression among home-quarantined individuals during the large-scale COVID-19 outbreak: based on Adaboost model.

BMC psychology Apr 24, 2024
OBJECTIVES: COVID-19 epidemics often lead to elevated levels of depression. To accurately identify and predict depression levels in home-quarantined individuals during a COVID-19 epidemic, this study constructed a depression prediction model based on...
SARS-CoV-2 Aged Adult Cross-Sectional Studies COVID-19 Algorithms Female Male Middle Aged Depression Quarantine Humans Machine Learning
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Identification of agricultural quarantine materials in passenger's luggage using ion mobility spectroscopy combined with a convolutional neural network.

Analytical methods : advancing methods and applications Nov 24, 2022
As economic globalization intensifies, the recent increase in agricultural products and travelers from abroad has led to an increase in the probability of invasive alien species. A major pathway for invasive alien species is agricultural quarantine m...
Dogs Quarantine Spectrum Analysis Animals Least-Squares Analysis Discriminant Analysis Neural Networks, Computer
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A remote management system for control and surveillance of echinococcosis: design and implementation based on internet of things.

Infectious diseases of poverty Apr 13, 2021
BACKGROUND: As a neglected cross-species parasitic disease transmitted between canines and livestock, echinococcosis remains a global public health concern with a heavy disease burden. In China, especially in the epidemic pastoral communities on the ...
Dogs Dog Diseases Quarantine Internet of Things Epidemiological Monitoring Pandemics Echinococcosis COVID-19 Tibet Animals Robotics
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Public Opinions and Concerns Regarding the Canadian Prime Minister's Daily COVID-19 Briefing: Longitudinal Study of YouTube Comments Using Machine Learning Techniques.

Journal of medical Internet research Feb 23, 2021
BACKGROUND: During the COVID-19 pandemic in Canada, Prime Minister Justin Trudeau provided updates on the novel coronavirus and the government's responses to the pandemic in his daily briefings from March 13 to May 22, 2020, delivered on the official...
Emigration and Immigration Financial Stress Financing, Government Public Policy Federal Government Humans Personal Protective Equipment Quarantine Pandemics Public Opinion COVID-19 Government Longitudinal Studies SARS-CoV-2 Social Media Public Health Unsupervised Machine Learning COVID-19 Vaccines Natural Language Processing Canada
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Machine learning techniques to detect and forecast the daily total COVID-19 infected and deaths cases under different lockdown types.

Microscopy research and technique Feb 1, 2021
COVID-19 has impacted the world in many ways, including loss of lives, economic downturn and social isolation. COVID-19 was emerged due to the SARS-CoV-2 that is highly infectious pandemic. Every country tried to control the COVID-19 spread by imposi...
Humans Machine Learning Pandemics COVID-19 SARS-CoV-2 Quarantine Communicable Disease Control Physical Distancing
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Subjective Well-Being of Chinese Sina Weibo Users in Residential Lockdown During the COVID-19 Pandemic: Machine Learning Analysis.

Journal of medical Internet research Dec 17, 2020
BACKGROUND: During the COVID-19 pandemic, residential lockdowns were implemented in numerous cities in China to contain the rapid spread of the disease. Although these stringent regulations effectively slowed the spread of COVID-19, they may have pos...
Social Isolation Social Media Aged, 80 and over Quarantine COVID-19 Young Adult Asian People Humans Algorithms Machine Learning Adult Male Female Pandemics Middle Aged Aged China Public Health Surveillance
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