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Showing 14 of 294 academic articles

Face mask mandates alter major determinants of adherence to protective health behaviours in Australia

Matthew Ryan, Jinjing Ye, Justin Sexton, Roslyn I. Hickson et al. • Royal Society Open Science (2025)

Face mask wearing is a protective health behaviour that helps mitigate the spread of infectious diseases such as influenza and COVID-19. Understanding predictors of face mask wearing can help refine public health messaging and policy in fut...

DOAJ Open Access (DOAJ) DOI: 10.1098/rsos.241941

Satellite Retrieval of Air Pollution Changes in Central and Eastern China during COVID-19 Lockdown Based on a Machine Learning Model

Zigeng Song, Yan Bai, Difeng Wang, Teng Li et al. • Remote Sensing (2021)

With the implementation of the 2018–2020 Clean Air Action Plan (CAAP) the and impact from COVID-19 lockdowns in 2020, air pollution emissions in central and eastern China have decreased markedly. Here, by combining satellite remote sensing,...

DOAJ Open Access (DOAJ) DOI: 10.3390/rs13132525

Socio-Demographic Factors Associated With COVID-19 Vaccine Hesitancy Among Middle-Aged Adults During the Quebec's Vaccination Campaign

Rodolphe Jantzen, Rodolphe Jantzen, Mathieu Maltais, Mathieu Maltais et al. • Frontiers in Public Health (2022)

IntroductionThe objective of this study was to characterize the combinations of demographic and socioeconomic characteristics associated to the unwillingness to receive the COVID-19 vaccines during the 2021 Quebec's vaccination campaign.Mat...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2022.756037

Machine learning for real-time aggregated prediction of hospital admission for emergency patients

Zella King, Joseph Farrington, Martin Utley, Enoch Kung et al. • npj Digital Medicine (2022)

Abstract Machine learning for hospital operations is under-studied. We present a prediction pipeline that uses live electronic health-records for patients in a UK teaching hospital’s emergency department (ED) to generate short-term, probabi...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41746-022-00649-y

The association of Coronavirus Disease-19 mortality and prior bacille Calmette-Guerin vaccination: a robust ecological analysis using unsupervised machine learning

Nathan A. Brooks, Ankur Puri, Sanya Garg, Swapnika Nag et al. • Scientific Reports (2021)

Abstract Population-level data have suggested that bacille Calmette-Guerin (BCG) vaccination may lessen the severity of Coronavirus Disease-19 (COVID-19) prompting clinical trials in this area. Some reports have demonstrated conflicting res...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-020-80787-z

A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices

Sun-Feel Yang, So-Won Choi, Eul-Bum Lee • Energies (2023)

The ongoing Russia–Ukraine conflict has exacerbated the global crisis of natural gas supply, particularly in Europe. During the winter season, major importers of liquefied natural gas (LNG), such as South Korea and Japan, were directly affe...

DOAJ Open Access (DOAJ) DOI: 10.3390/en16114271

Application of artificial intelligence to the electrocardiogram

Zachi Itzhak Attia, David Harmon, Elijah Raphael Behr, Paul A. Friedman • European Heart Journal (2021)

Artificial intelligence (AI) has given the electrocardiogram (ECG) and clinicians reading them super-human diagnostic abilities. Trained without hard-coded rules by finding often subclinical patterns in huge datasets, AI transforms the ECG,...

OPENALEX Open Access DOI: https://doi.org/10.1093/eurheartj/ehab649 PMC: 8500024

Examination of medical students’ opinions on multimedia learning materials according to social cues: focusing on sound principles

Wonseok Chang, Yura Kim, Hye Jin Park • Korean Journal of Medical Education (2024)

Purpose Although interest in various forms of learning media is increasing due to the coronavirus disease 2019 (COVID-19) pandemic there is relatively little research on influencing student motivation by intervening in cognitive processing....

DOAJ Open Access (DOAJ) DOI: 10.3946/kjme.2024.288

Study on the impact of meteorological factors on influenza in different periods and prediction based on artificial intelligence RF-Bi-LSTM algorithm: to compare the COVID-19 period with the non-COVID-19 period

Hansong Zhu, Si Chen, Weixia Qin, Joldosh Aynur et al. • BMC Infectious Diseases (2024)

Abstract Objective At different times, public health faces various challenges and the degree of intervention measures varies. The research on the impact and prediction of meteorology factors on influenza is increasing gradually, however, th...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12879-024-09750-x

New Meanings of Computer-Based Entertainment and Communication among Students in Poland During the COVID-19 Pandemic

Mokras-Grabowska Justyna, Mroczek-Żulicka Aleksandra, Olasik Marta • Quaestiones Geographicae (2022)

This article is an attempt at investigating new meanings and significance of computer-based entertainment during the COVID-19 pandemic. The authors explore how and to what extent students in Poland have been using electronics for entertainm...

DOAJ Open Access (DOAJ) DOI: 10.2478/quageo-2022-0034

The value of face-to-face communication in the digital world: What people miss about in-person interactions when those are limited

Jonathan Gruber, Eszter Hargittai, Minh Hao Nguyen • Studies in Communication Sciences (2022)

Face-to-face communication is important for building and maintaining relationships. The COVID-19 pandemic led to severe limitations in people’s face-to-face interactions, resulting in most people relying more heavily on digital communicatio...

DOAJ Open Access (DOAJ) DOI: https://doi.org/10.24434/j.scoms.2022.03.3340