Explanipedia

Nurses’ knowledge, attitudes, and role perception in medication administration: do hospital context and nurses’ level of professional experience make a difference? Open

Amanda M. Y. Chu, Hing‐yu So, Linda W.L. Yu, B. Ho, Shih-Yu Chang , et al. · 2025

Utilizing Google Trends data to enhance forecasts and monitor long COVID prevalence Open

Amanda M. Y. Chu, Jenny Tsun Yee Tsang, Sophia Siu Chee Chan, Lupe S. H. Chan, Mike K. P. So · 2025

By utilizing a comprehensive list of search terms and sophisticated statistical analytics, our study contributes to exploring the potential of Google Trends data for forecasting and monitoring long COVID prevalence. These findings and meth…

Gender differences in co-rumination and transition shock among nursing interns in China: a cross-sectional study Open

Wenjie Ge, Shou-Jun Zhu, Xinyi Zhu, Amanda M. Y. Chu · 2025

A Hybrid Markov Chain Monte Carlo Approach for Structural Learning in Bayesian Networks Based on Variable Blocking Open

Lupe S. H. Chan, Amanda M. Y. Chu, Mike K. P. So · 2025

The valuation of older adult homecare services under a joint medical-social budgetary perspective Open

Eman Leung, Jingjing Guan, Amanda M. Y. Chu, Sam C. C. Ching, Y.-J. LIU , et al. · 2024

Background Homecare, a cornerstone of public health, is essential for health systems to achieve the Sustainable Development Goal (SDG) of universal health coverage while maintaining its own sustainability. Notwithstanding homecare’s system…

Which types of family caregivers are more prone to developing depression? Leveraging non-financial social support to mitigate depression Open

Amanda M. Y. Chu, David Woo, Agnes Tiwari, Helina Yuk, Mike K. P. So · 2024

Family caregivers face stress, especially those facing financial burdens. Therefore, it is crucial to evaluate non-financial social support intervention’s effectiveness and identify demographic factors linked to higher caregiver depression…

Return and Volatility Forecasting Using On-Chain Flows in Cryptocurrency Markets Open

Yeguang Chi, Qionghua, Amanda M. Y. Chu, Wenyan Hao · 2024

We empirically examine the intraday return- and volatility-forecasting power of on-chain flow data for Bitcoin(BTC), Ethereum(ETH), and Tether(USDT). We find ETH net inflows to strongly predict ETH returns and volatility in the 2017-2023 p…

Child-friendly family reduces parenting stress in Chinese families: the mediating role of family resilience Open

Amanda M. Y. Chu, Jenny Tsun Yee Tsang, Agnes Tiwari, Helina Yuk, Mike K. P. So · 2024

The increasing prevalence of parenting stress has significant implications for the psychological well-being of both parents and children. In view of this, our study sought to examine the mediating and moderating role of family resilience i…

Dynamic Bayesian Networks with Conditional Dynamics in Edge Addition and Deletion Open

Lupe S. H. Chan, Amanda M. Y. Chu, Mike K. P. So · 2024

This study presents a dynamic Bayesian network framework that facilitates intuitive gradual edge changes. We use two conditional dynamics to model the edge addition and deletion, and edge selection separately. Unlike previous research that…

Bayesian Systemic Risk Analysis using Latent Space Network Models Open

Mike K. P. So, Thomas W. C. Chan, Amanda M. Y. Chu · 2024

In financial markets, systemic risk is a type of risk in which the failure of one stock in the market triggers a sequence of failures. Our study proposes a Bayesian decision scheme to dynamically monitor systemic risk under any preferences…

Dynamic Network Poisson Autoregression with Application to COVID-19 Count Data Open

Manabu Asai, Amanda M. Y. Chu, Mike K. P. So · 2024

There is growing interest in accommodating network structure in panel data models. We consider dynamic network Poisson autoregressive (DN-PAR) models for panel count data, enabling their use in regard to a time-varying network structure. W…

COVID-19 Pandemic Risk Assessment: Systematic Review Open

Amanda M. Y. Chu, Patrick Kwok, Jacky N.L. Chan, Mike K. P. So · 2024

Our synthesized findings support proactive planning and development of prevention and control measures in anticipation of future public health threats.

Do Scholars Respond Faster Than Google Trends in Discussing COVID-19 Issues? An Approach to Textual Big Data Open

Benson S. Y. Lam, Amanda M. Y. Chu, Jacky N.L. Chan, Mike K. P. So · 2024

Background: The COVID-19 pandemic has posed various difficulties for policymakers, such as the identification of health issues, establishment of policy priorities, formulation of regulations, and promotion of economic competitiveness. Evid…

Standardized local assortativity in networks and systemic risk in financial markets Open

Mike K. P. So, Anson S. W. Mak, Jacky N.L. Chan, Amanda M. Y. Chu · 2023

The study of assortativity allows us to understand the heterogeneity of networks and the implication of network resilience. While a global measure has been predominantly used to characterize this network feature, there has been little rese…

An automatic speech analytics program for digital assessment of stress burden and psychosocial health Open

Amanda M. Y. Chu, Benson S. Y. Lam, Jenny Tsun Yee Tsang, Agnes Tiwari, Helina Yuk , et al. · 2023

Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19 Open

Amanda M. Y. Chu, Andy Chun Yin Chong, Nick H T Lai, Agnes Tiwari, Mike K. P. So · 2023

Background The COVID-19 outbreak has revealed a high demand for timely surveillance of pandemic developments. Google Trends (GT), which provides freely available search volume data, has been proven to be a reliable forecast and nowcast mea…

Gaps between Attitudes and Behavior in the Use of Disposable Plastic Tableware (DPT) and Factors Influencing Sustainable DPT Consumption: A Study of Hong Kong Undergraduates Open

Kyle T. H. Ho, Patrick W. H. Kwok, Stephen S. Y. Chang, Amanda M. Y. Chu · 2023

Total waste from human activities, including waste plastics, is huge in Hong Kong. In particular, as a result of the prevention and control measures implemented during the COVID-19 pandemic, take-away meals increased tremendously in Hong K…

A moving-window bayesian network model for assessing systemic risk in financial markets Open

Lupe S. H. Chan, Amanda M. Y. Chu, Mike K. P. So · 2023

Systemic risk refers to the uncertainty that arises due to the breakdown of a financial system. The concept of “too connected to fail” suggests that network connectedness plays an important role in measuring systemic risk. In this paper, w…

Enhancing the Predictive Power of Google Trends Data Through Network Analysis: Infodemiology Study of COVID-19 (Preprint) Open

Amanda M. Y. Chu, Andy Chun Yin Chong, Nick H T Lai, Agnes Tiwari, Mike K. P. So · 2022

BACKGROUND The COVID-19 outbreak has revealed a high demand for timely surveillance of pandemic developments. Google Trends (GT), which provides freely available search volume data, has been proven to be a reliable forecast and nowcast me…

Dynamic Causality Analysis of COVID-19 Pandemic Risk and Oil Market Changes Open

Mike K. P. So, Jacky N.L. Chan, Amanda M. Y. Chu · 2022

Crude oil draws attention in recent research as its demand may indicate world economic growth trend in the post-COVID-19 era. In this paper, we study the dynamic lead–lag relationship between the COVID-19 pandemic and crude oil future pric…

Habit—Does It Matter? Bringing Habit and Emotion into the Development of Consumer’s Food Waste Reduction Behavior with the Lens of the Theory of Interpersonal Behavior Open

Sumia Mumtaz, Amanda M. Y. Chu, Saman Attiq, Hassan Jalil Shah, Wing‐Keung Wong · 2022

The immense food waste, generated by restaurants is not only a serious burden for the foodservice business but also a cause of anguish for the emerging nations in which eating out is becoming increasingly trendy. Consumers’ food wastes acc…

Persistent symptoms after SARS-CoV-2 infection: Long-term implications for health and quality of life Open

Mike K. P. So, Amanda M. Y. Chu, Agnes Tiwari · 2022

Assessing systemic risk in financial markets using dynamic topic networks Open

Mike K. P. So, Anson S. W. Mak, Amanda M. Y. Chu · 2022

Systemic risk in financial markets refers to the breakdown of a financial system due to global events, catastrophes, or extreme incidents, leading to huge financial instability and losses. This study proposes a dynamic topic network (DTN) …

Learning from work-from-home issues during the COVID-19 pandemic: Balance speaks louder than words Open

Amanda M. Y. Chu, Thomas W. C. Chan, Mike K. P. So · 2022

During the 2019 novel coronavirus disease (COVID-19) pandemic, many employees have switched to working from home. Despite the findings of previous research that working from home can improve productivity, the scale, nature, and purpose of …

Antecedents of Consumer Food Waste Reduction Behavior: Psychological and Financial Concerns through the Lens of the Theory of Interpersonal Behavior Open

Saman Attiq, Amanda M. Y. Chu, Rauf I Azam, Wing‐Keung Wong, Sumia Mumtaz · 2021

This study sought to investigate the role of consumers’ emotional, cognitive, and financial concerns in the development of food waste reduction, reuse, and recycling behavior among restaurant patrons. Food waste in restaurants is a major p…

Higher Education during the Pandemic: The Predictive Factors of Learning Effectiveness in COVID-19 Online Learning Open

Jenny Tsun Yee Tsang, Mike K. P. So, Andy Chun Yin Chong, Benson S. Y. Lam, Amanda M. Y. Chu · 2021

The global coronavirus disease (COVID-19) outbreak forced a shift from face-to-face education to online learning in higher education settings around the world. From the outset, COVID-19 online learning (CoOL) has differed from conventional…

Illegal Waste Dumping under a Municipal Solid Waste Charging Scheme: Application of the Neutralization Theory Open

Amanda M. Y. Chu · 2021

Illegal waste dumping has become a threat to human health and the global environment. In Hong Kong, the government has proposed a quantity-based municipal solid waste charging scheme to reduce waste. However, individuals may still dispose …

Stochastic actor‐oriented modelling of the impact of COVID‐19 on financial network evolution Open

Amanda M. Y. Chu, Lupe S. H. Chan, Mike K. P. So · 2021

The coronavirus disease 2019 (COVID‐19) pandemic has led to tremendous loss of human life and has severe social and economic impacts worldwide. The spread of the disease has also caused dramatic uncertainty in financial markets, especially…

Volatility and dynamic dependence modeling: Review, applications, and financial risk management Open

Mike K. P. So, Amanda M. Y. Chu, Cliff C. Y. Lo, Chun Yin Ip · 2021

Since the introduction of ARCH models close to 40 years ago, a wide range of models for volatility estimation and prediction have been developed and integrated into asset allocation, financial derivative pricing, and financial risk managem…

Financial Network Connectedness and Systemic Risk During the COVID-19 Pandemic Open

Mike K. P. So, Lupe S. H. Chan, Amanda M. Y. Chu · 2021

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