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Fhrizz S. De Jesus, Hazel Jade E. Villamar, Ramezesh E. Dionisio
Pág. 40 - 53
AbstractThe COVID-19 pandemic has expedited the transition towards a more technologically advanced world, with lasting repercussions on online buying habits. Due to constraints on face-to-face communication, the consumer has migrated from in-person to on...
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Ni Kadek Suryani,Ida Ayu Putu Widani Sugianingrat
Pág. 141 - 151
Abstract: The Covid-19 has led to comprehensive changes in the education sector. Physical distancing requirements have seen education programs in Denpasar city, Bali province, Indonesia move online. During the Covid-19 pandemic from February-May) 2020, t...
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Eunju Hwang
Daily data on COVID-19 infections and deaths tend to possess weekly oscillations. The purpose of this work is to forecast COVID-19 data with partially cyclical fluctuations. A partially periodic oscillating ARIMA model is suggested to enhance the predict...
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Carla Oliveira Henriques, Maria Elisabete Neves and João Jorge Couceiro
This paper examines the efficiency of alternative energy equity Exchange-Traded Funds (ETFs) and conventional energy equity ETFs from 2018 to 2020, utilizing a combination of an output-oriented Slack-Based Data Envelopment Analysis (DEA) model and cluste...
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Anuwat Boonprasope and Korrakot Yaibuathet Tippayawong
Following the COVID-19 pandemic, the healthcare sector has emerged as a resilient and profitable domain amidst market fluctuations. Consequently, investing in healthcare securities, particularly through mutual funds, has gained traction. Existing researc...
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George Westergaard, Utku Erden, Omar Abdallah Mateo, Sullaiman Musah Lampo, Tahir Cetin Akinci and Oguzhan Topsakal
Automated Machine Learning (AutoML) tools are revolutionizing the field of machine learning by significantly reducing the need for deep computer science expertise. Designed to make ML more accessible, they enable users to build high-performing models wit...
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Nicollas Rodrigues de Oliveira, Yago de Rezende dos Santos, Ana Carolina Rocha Mendes, Guilherme Nunes Nasseh Barbosa, Marcela Tuler de Oliveira, Rafael Valle, Dianne Scherly Varela Medeiros and Diogo M. F. Mattos
The COVID-19 pandemic has highlighted the necessity for agile health services that enable reliable and secure information exchange, but achieving proper, private, and secure sharing of EMRs remains a challenge due to diverse data formats and fragmented r...
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Aokun Chen, Yunpeng Zhao, Yi Zheng, Hui Hu, Xia Hu, Jennifer N. Fishe, William R. Hogan, Elizabeth A. Shenkman, Yi Guo and Jiang Bian
It is prudent to take a unified approach to exploring how contextual social determinants of health (SDoH) relate to COVID-19 occurrence and outcomes. Poor geographically represented data and a small number of contextual SDoH examined in most previous res...
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Vasileios Thomopoulos and Kostas Tsichlas
In this research, we present the first steps toward developing a data-driven agent-based model (ABM) specifically designed for simulating infectious disease dynamics in Greece. Amidst the ongoing COVID-19 pandemic caused by SARS-CoV-2, this research hold...
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Yuhao He, Qianlong Zhao, Shanqi Sun, Wenjing Li and Waishan Qiu
The COVID-19 outbreak followed by the strict citywide lockdown in Shanghai has sparked negative emotion surges on social media platforms in 2022. This research aims to investigate the spatial?temporal heterogeneity of a unique emotion (helplessness) and ...
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