Pandemic vulnerability index of US cities: A hybrid knowledge-based and data-driven approach
Cities become mission-critical zones during pandemics and it is vital to develop a better
understanding of the factors that are associated with infection levels. The COVID-19 …
understanding of the factors that are associated with infection levels. The COVID-19 …
Covid-19 data analysis and appropriate vaccine prediction using machine learning
COVID-19 highly contagious virus, it has wreaked devastation on the earth. To help the
world overcome this challenging situation, scientists and professionals across many …
world overcome this challenging situation, scientists and professionals across many …
Analysis of mobility changes caused by COVID-19 in a context of moderate restrictions using data collected by mobile devices
Since its inception, COVID-19 has changed several dynamics in society, both on a personal
and professional level. Mobility was one of the most affected aspects, as a result of the …
and professional level. Mobility was one of the most affected aspects, as a result of the …
[HTML][HTML] Predicting air quality index using attention hybrid deep learning and quantum-inspired particle swarm optimization
Air pollution poses a significant threat to the health of the environment and human well-
being. The air quality index (AQI) is an important measure of air pollution that describes the …
being. The air quality index (AQI) is an important measure of air pollution that describes the …
[HTML][HTML] Quantitative Study on American COVID-19 Epidemic Predictions and Scenario Simulations
J Sun, J Qi, Z Yan, Y Li, J Liang, S Wu - ISPRS International Journal of …, 2024 - mdpi.com
The COVID-19 pandemic has had a profound impact on people's lives, making accurate
prediction of epidemic trends a central focus in COVID-19 research. This study innovatively …
prediction of epidemic trends a central focus in COVID-19 research. This study innovatively …
[PDF][PDF] Identifying the most relevant attributes to explain peaks of COVID-19 infections and deaths by machine learning methods
G Pena, J Gambini, NR Barraza - International Journal of …, 2023 - researchgate.net
One of the key factors related to assessing the spreading speed of a given disease is to
determine the peak of infections, the point after which a wave starts to mitigate as the daily …
determine the peak of infections, the point after which a wave starts to mitigate as the daily …
ECG signal monitoring based on Covid-19 patients: Overview
ECG signal monitoring is a very important step for patients. Especially for those infected by
covid-19. This pandemic has shown that the use of artificial intelligence helps to control the …
covid-19. This pandemic has shown that the use of artificial intelligence helps to control the …
Investigating the Leisure Patterns and the Well-being of Healthcare Workers in High-Risk Environments: Insights from a Pandemic Landscape
HH Lin, YH Tseng, YZ Zheng, CH Hung - Journal of the Knowledge …, 2024 - Springer
The role of healthcare workers in safeguarding public health, especially during high-risk
events such as a pandemic, is paramount. This research explores the impact of leisure …
events such as a pandemic, is paramount. This research explores the impact of leisure …
[HTML][HTML] A Turf-Based Feature Selection Technique for Predicting Factors Affecting Human Health during Pandemic
Worldwide, COVID-19 is a highly contagious epidemic that has affected various fields. Using
Artificial Intelligence (AI) and particular feature selection approaches, this study evaluates …
Artificial Intelligence (AI) and particular feature selection approaches, this study evaluates …
[HTML][HTML] A machine learning approach to address air quality changes during the COVID-19 lockdown in Buenos Aires, Argentina
M Diaz Resquin, P Lichtig… - Earth System …, 2021 - essd.copernicus.org
The COVID-19 (COronaVIrus Disease 2019) pandemic provided the unique opportunity to
evaluate the role of a sudden and deep decline in air pollutant emissions in the ambient air …
evaluate the role of a sudden and deep decline in air pollutant emissions in the ambient air …