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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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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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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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Azizah Assiri and Hassen Sallay
Opportunistic mobile social networks (OMSNs) have become increasingly popular in recent years due to the rise of social media and smartphones. However, message forwarding and sharing social information through intermediary nodes on OMSNs raises privacy c...
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Yang Ma, Haiping Wang, Jiangping Song, Wenlong Yang, Huixia Jia, Niels Agerbirk, Yinan Chen, Chen Li, Yinglan Piao, Sen Li and Xiaohui Zhang
Clubroot disease, caused by Plasmodiophora brassicae, poses a significant global threat to cruciferous crops. The epidemic area of clubroot disease is expanding rapidly. In response to this pressing issue, there is a compelling need for the development o...
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Chi Ma, Jianping Tao, Caifeng Tan, Wei Liu and Xia Li
As the media have continued to pay increasing attention to pig epidemic events, some local pig epidemic events may have a large degree of negative impact on the pork market and the whole pig industry chain, leading to pork price fluctuations. Strengtheni...
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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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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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Subrat Kumar Bhattamisra, Priyanka Banerjee, Pratibha Gupta, Jayashree Mayuren, Susmita Patra and Mayuren Candasamy
Artificial intelligence (AI) is a branch of computer science that allows machines to work efficiently, can analyze complex data. The research focused on AI has increased tremendously, and its role in healthcare service and research is emerging at a great...
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András Bóta and Lauren Gardner
Modeling the spread of infections in networks is a well-studied and important field of research. Most infection and diffusion models require a real value or probability at the edges of the network as an input, but this is rarely available in real-life ap...
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