scholarly journals Knowledge System Analysis on Emergency Management of Public Health Emergencies

2020 ◽  
Vol 12 (11) ◽  
pp. 4410 ◽  
Author(s):  
Rui Yang ◽  
Guoming Du ◽  
Ziwei Duan ◽  
Mengjin Du ◽  
Xin Miao ◽  
...  

The Coronavirus Disease 2019 (COVID-19) infectious pneumonia pandemic highlights the importance of emergency management of public health emergencies (EMPHE). This paper addresses the challenge of building a knowledge system for EMPHE research that may contribute to understand the spatial and temporal characteristics of knowledge distribution, research status, cutting-edge research and development trends, and helps to identify promising research topics and guide research and practice of EMPHE. Based on the Web of Science, this paper retrieves 1467 articles about EMPHE published from 2010 to date. Then, based on high-frequency keywords, we use CiteSpace to analyze their knowledge co-occurrence network, clustering network and knowledge evolution. Furthermore, we summarize the features and gaps in EMPHE research, providing references for future research directions. Based on the above analysis, this work constructs a knowledge system about EMPHE research, providing a comprehensive visual summary of the existing research in the field of EMPHE, with the aim to guide future research and practice.

2002 ◽  
Vol 21 (2) ◽  
pp. 162-176 ◽  
Author(s):  
Nicholas L. Holt ◽  
William B. Strean ◽  
Enrique García Bengoechea

There has been considerable debate regarding the delivery and outcomes of games experiences in physical education. In particular, the relative benefits of the Teaching Games for Understanding (TGfU) approach have been compared to traditional skill-drill approaches to games teaching. However, many discussions of TGfU have focused on cognitive and psychomotor learning outcomes, neglecting the affective domain. The purpose of this article is to review TGfU research, to present an extended TGfU model, and to suggest new avenues for future research and practice. Future research directions include consideration of learning with respect to cognitive, behavioral, and affective characteristics.


2022 ◽  
pp. 389-411
Author(s):  
Rafael Vargas-Bernal

Since the end of 2019, the SARS-CoV-2 virus, commonly known as COVID-19, has become an infectious disease that has produced a severe global public health problem that requires solutions from different scientific initiatives. Nanomaterials are used to diagnose, treat, and prevent the SARS-CoV-2 virus. Its potential is highlighted through specific applications and developments carried out by researchers around the world. In addition to highlighting the characteristics and properties of the COVID-19 virus, the purpose of the chapter is focused on describing the role that nanomaterials are playing and that must be overcome due to the pandemic. Future research directions are described to guide readers on the innovations that are required related to the diagnosis, treatment, and prevention of SARS-CoV-2 and its variants. The impact that nanomaterials will have on COVID-19 will reduce the time for humans to return to the rhythm of life before the pandemic.


Epidemiology ◽  
2011 ◽  
Vol 22 ◽  
pp. S21
Author(s):  
Kathleen F. Bush ◽  
Howard Frumkin ◽  
S. Rani Kotha ◽  
R. C. Dhiman ◽  
Joseph Eisenberg ◽  
...  

2011 ◽  
Vol 119 (6) ◽  
pp. 765-770 ◽  
Author(s):  
Kathleen F. Bush ◽  
George Luber ◽  
S. Rani Kotha ◽  
R.S. Dhaliwal ◽  
Vikas Kapil ◽  
...  

2014 ◽  
Vol 7 (3) ◽  
pp. 381-402 ◽  
Author(s):  
Elise K. Kalokerinos ◽  
Courtney von Hippel ◽  
Hannes Zacher

AbstractStereotypes about different groups persist in organizations. Employees from such groups may experience stereotype threat, or the concern that they are being judged on the basis of demeaning stereotypes about groups to which they belong. The goal of this focal article is to discuss whether stereotype threat is a useful construct for organizational psychology research and practice. To this end, we focus on consequences other than acute performance deficits in laboratory settings. In particular, we examine studies that highlight the effects of stereotype threat on intrapersonal outcomes (e.g., job attitudes), interpersonal outcomes (e.g., negotiation), and on the relationship between employees and their organization. The research reviewed suggests that stereotype threat is a potentially important phenomenon in organizations, but it also highlights the paucity of research in an organizational context. We provide suggestions for future research directions as well as for the prevention and amelioration of stereotype threat in the workplace.


2021 ◽  
pp. 002087282110416
Author(s):  
Kedi Zhao ◽  
Weijia Tan ◽  
A Ka Tat Tsang

How China’s social work can establish its own epistemology has remained largely unexplored. This article focuses on Confucianism, Taoism, and Chinese Buddhism to start this epistemological exploration, as they represent Chinese culture and can provide valuable epistemological elements for China’s social work. Moving beyond epistemological elements from these philosophies, how social workers in China can further develop social work research and practice based on the unique Chinese context is also discussed, specifically through the processes of indigenization and authentization of epistemology in China’s social work. Limitations and future research directions are also presented to guide future discussion.


Author(s):  
Christopher L. Tucci ◽  
Allan Afuah ◽  
Gianluigi Viscusi

Partly fueled by the pervasiveness of information technologies that facilitate the broadcasting of problems to crowds, and by anecdotal examples of phenomenally high-value solutions from outsourcing some problems to crowds, growth in the research and practice of crowdsourcing for problem solving has been remarkable. Research streams have been emerging in different disciplines. In this introduction to the volume, we introduce twelve chapters by scholars—from different disciplines—who explore interesting topics from some of these emerging research streams. The chapters fall into different groups distinguished by whether value is created and captured via tournament-based, collaboration-based, or hybrid crowdsourcing activities. We also offer future research directions and conclusions.


Author(s):  
Jan C. Weyerer ◽  
Paul F. Langer

Artificial intelligence (AI) has become an integral part of e-business and our lives, promising significant benefits to e-business companies and society. However, at the same time, AI systems in e-business may produce biased outcomes, leading to discrimination of minorities and violating human rights. Against this background, this chapter first describes the foundations of bias and discrimination in AI, highlighting its scientific and practical relevance, as well as describing its meaning, emergence, functioning, and impact in the context of e-business. Based on these foundations, the chapter further provides implications for research and practice on how to deal with AI-related bias and discrimination in the future, opening up future research directions as well as outlining solutions and recommendations for eliminating and preventing AI-related bias and discrimination in e-business.


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