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Tsung-Lin Wu, Tsai-Feng Chu and Hsiang-Te Liu
During the epidemic, construction site workers suffered from COVID-19 fear, job burnout, and job insecurity due to insufficient personal protective equipment. This study mainly explores the effect of policy formalism, equipment insufficiency, COVID-19 fe...
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Jingtao Sun, Jin Qi, Zhen Yan, Yadong Li, Jie Liang and Sensen Wu
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 utilizes a spatiotemporal heterogeneity analysis (GTNNWR) model to predict COVI...
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Xiaojin Huang, Renzhong Guo, Xiaoming Li, Minmin Li, Yong Fan and Yaxing Li
Understanding the economic impact of COVID-19 is the foundation for formulating targeted policies promoting economic recovery. This study uses panel data of the county economy in the Guangdong?Hong Kong?Macao Greater Bay Area (GBA) from 2017 to 2022. Fir...
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Zongyou Xia, Gonghao Duan and Ting Xu
Since 2020, COVID-19 has repeatedly arisen around the world, which has had a significant impact on the global economy and culture. The prediction of the COVID-19 epidemic will help to deal with the current epidemic and similar risks that may arise in the...
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Khaled H. Almotairi, Ahmad MohdAziz Hussein, Laith Abualigah, Sohaib K. M. Abujayyab, Emad Hamdi Mahmoud, Bassam Omar Ghanem and Amir H. Gandomi
Integrating machine learning technologies into artificial intelligence (AI) is at the forefront of the scientific and technological tools employed to combat the COVID-19 pandemic. This study assesses different uses and deployments of modern technology fo...
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Patrick Loola Bokonda, Moussa Sidibe, Nissrine Souissi and Khadija Ouazzani-Touhami
COVID-19 has raised the issue of fighting epidemics. We were able to realize that in this fight, countering the spread of the disease was the main goal and we propose to contribute to it. To achieve this, we propose an enriched model of Random Forest (RF...
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Demiao Yu, Xiaoran Huang, Hengyi Zang, Yuanwei Li, Yuchen Qin and Daoyong Li
The outbreak of COVID-19 in Beijing has been sporadic since the beginning of 2022 and has become increasingly severe since October. In China?s policy of insisting on dynamic clearance, fine-grained management has become the focus of current epidemic prev...
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Tingting Wu, Bisong Hu, Jin Luo and Shuhua Qi
The novel coronavirus pneumonia (COVID-19) pandemic has caused enormous impacts around the world. Characterizing the risk dynamics for urgent epidemics such as COVID-19 is of great benefit to epidemic control and emergency management. This article presen...
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Alexander Taranik,Sergey Lebedev,Igor Litvinenko,Grigory Baydin,Marina Belova,Olga Pavlenko,Elena Besova
Pág. 39 - 52
The paper analyzes the spread of COVID-19 in 2020-2021 in 8 regions of the Russian Federation: Moscow, Saint-Petersburg, Krasnodar Territory, Stavropol Territory, Bashkortostan Republic, Sverdlovsk Region, Krasnoyarsk Territory, and Primorye Territory. A...
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Ben Zhang and Chenxu Ming
The COVID-19 pandemic highlights the importance of digital technology in a specific region?s epidemic prevention and control, and the digital transformation strategy based on the open innovation system is an emerging way to tackle conceivable outbreaks. ...
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