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Dr. Rebecca DONG
University of South Australia

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Preprint content
Published: 28 June 2021
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Objective. There is a lack of evidence related to the prevalence of mental disorder symptoms as well as their heterogeneities during the COVID-19 pandemic in Latin America, a continent across the equators. The current study aims to provide meta-analytical evidence on mental disorder symptoms during COVID-19 among frontline healthcare workers, general healthcare workers, the general population, and university students in Latin America. Methods. Bibliographical databases, such as PubMed, Embase, Web of Sciences, PsycINFO, and medRxiv, were systematically searched to identify pertinent studies up to Februry 6, 2021. Two coders performed the screening using predefined eligibility criteria. Studies were assigned quality scores using the Mixed Methods Appraisal Tool. The double data extraction method was used to minimize data entry errors. Results. A total of 33 studies with 101,772 participants in Latin America were identified. The pooled prevalence of anxiety, depression, distress, and insomnia was 32%, 27%, 32%, and 35%, respectively. There was a higher prevalence of mental health symptoms in South America compared to Central America (33% vs. 27%, p <0.001). The pooled prevalence of mental health symptoms in the general population, general healthcare workers, frontline healthcare workers, and students in Latin America was 33%, 31%, 37%, and 36%, respectively. Conclusion. The high yet heterogenous level of prevalence of mental disorder symptoms emphasizes the need for appropriate identification of psychological interventions in Latin America.

ACS Style

Stephen X. Zhang; Kavita Batra; Tao Liu; Rebecca Kechen Dong; Wen Xu; Allen Yin; Andrew Delios; Bryan Z. Chen; Richard Z. Chen; Saylor Miller; Xue Wan; Jiyao Chen. Meta-analytical evidence on mental disorder symptoms during the COVID-19 pandemic in Latin America. 2021, 1 .

AMA Style

Stephen X. Zhang, Kavita Batra, Tao Liu, Rebecca Kechen Dong, Wen Xu, Allen Yin, Andrew Delios, Bryan Z. Chen, Richard Z. Chen, Saylor Miller, Xue Wan, Jiyao Chen. Meta-analytical evidence on mental disorder symptoms during the COVID-19 pandemic in Latin America. . 2021; ():1.

Chicago/Turabian Style

Stephen X. Zhang; Kavita Batra; Tao Liu; Rebecca Kechen Dong; Wen Xu; Allen Yin; Andrew Delios; Bryan Z. Chen; Richard Z. Chen; Saylor Miller; Xue Wan; Jiyao Chen. 2021. "Meta-analytical evidence on mental disorder symptoms during the COVID-19 pandemic in Latin America." , no. : 1.

Preprint content
Published: 25 June 2021
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Objective: To perform a systematic and meta-analysis on the prevalence rates of mental health symptoms including anxiety and depression during the COVID-19 pandemic in the general population in Eastern Europe, as well as three select sub-populations: students, general healthcare workers, and frontline healthcare workers. Data sources: Studies in PubMed, Embase, Web of Science, Psycinfo, and medRxiv up to February 6, 2021. Eligibility criteria and data analysis: Prevalence rates of mental health symptoms in the general population and key sub-populations during the COVID-19 pandemic in Eastern Europe. Data were pooled using a random-effects meta-analysis to estimate the prevalence rates of anxiety and depression. Results: The meta-analysis identifies and includes 21 studies and 26 independent samples in Eastern Europe. Poland (n=4), Serbia (n=4), Russia (n=3), and Croatia (n=3) had the greatest number of studies. To our knowledge, no studies have been conducted in eleven Eastern European countries including Hungary, Slovakia, and Slovenia. The pooled prevalence of anxiety in 18 studies with 22 samples was 30% (95% CI: 24%-37%) and pooled prevalence of depression in 18 studies with 23 samples was 27% (95% CI: 21%-34%). Implications: The cumulative evidence from the meta-analysis reveals high prevalence rates of clinically significant symptoms during the COVID-19 pandemic in Eastern Europe. The findings suggest evidence of a potential mental health crisis in Eastern Europe during the ongoing COVID-19 pandemic. Our synthesis also reveals a relative lack of studies in certain Eastern European countries as well as high heterogeneities among the existing studies, calling for more effort to achieve evidence-based mental healthcare in Eastern Europe. Keywords: COVID-19; Epidemic; General Population; Healthcare Workers; Frontline Healthcare Workers; Psychiatry Highlights: The pooled prevalence of anxiety and depression were 30% and 27% in Eastern Europe, respectively.

ACS Style

Stephen X. Olivia Zhang; Saylor Olivia Miller; Wen Xu; Allen Yin; Bryan Z. Chen; Andrew Delios; Rebecca Kechen Dong; Richard Z. Chen; Roger S. McIntyre; Xue Wan; Senhu Wang; Jiyao Chen. Meta-Analytic Evidence of Depression and Anxiety in Eastern Europe during the COVID-19 Pandemic. 2021, 1 .

AMA Style

Stephen X. Olivia Zhang, Saylor Olivia Miller, Wen Xu, Allen Yin, Bryan Z. Chen, Andrew Delios, Rebecca Kechen Dong, Richard Z. Chen, Roger S. McIntyre, Xue Wan, Senhu Wang, Jiyao Chen. Meta-Analytic Evidence of Depression and Anxiety in Eastern Europe during the COVID-19 Pandemic. . 2021; ():1.

Chicago/Turabian Style

Stephen X. Olivia Zhang; Saylor Olivia Miller; Wen Xu; Allen Yin; Bryan Z. Chen; Andrew Delios; Rebecca Kechen Dong; Richard Z. Chen; Roger S. McIntyre; Xue Wan; Senhu Wang; Jiyao Chen. 2021. "Meta-Analytic Evidence of Depression and Anxiety in Eastern Europe during the COVID-19 Pandemic." , no. : 1.

Review
Published: 07 June 2021
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Aims The Covid-19 pandemic has had a substantial impact on the mental health of the general public and high-risk groups worldwide. Due to its proximity and close links to China, Southeast Asia was one of the first regions to be affected by the outbreak. The aim of this systematic review was to evaluate the prevalence of anxiety, depression and insomnia in the general adult population and healthcare workers (HCWs) in Southeast Asia during the course of the first year of the pandemic. Methods Several literature databases were systemically searched for articles published up to February 2021 and two reviewers independently evaluated all relevant studies using pre-determined criteria. The prevalence rates of mental health symptoms were calculated using a random-effect meta-analysis model. Results In total, 32 samples from 25 studies with 20,352 participants were included. Anxiety was assessed in all 25 studies and depression in 15 studies with pooled prevalence rates of 22% and 16% respectively. Only two studies assessed insomnia, which was estimated at 19%. The prevalence of anxiety and depression was similar amongst frontline HCWs (18%), general HCWs (17%), and students (20%) whilst being noticeably higher in the general population (27%). Conclusions This is the first systematic review to investigate the mental health impact of the Covid-19 pandemic in Southeast Asia. A considerable proportion of the general population and HCWs reported mild to moderate symptoms of anxiety and depression; the pooled prevalence rater, however, remain significantly lower than those reported in other areas such as China and Europe.

ACS Style

Sofia Pappa; Jiyao Chen; Joshua Barnet; Anabel Chang; Rebecca Kechen Dong; Wen Xu; Allen Yin; Bryan Z. Chen; Andrew Delios; Richard Z. Chen; Saylor Miller; Xue Wan; Stephen X. Zhang. A Systematic Review and Meta-Analysis of the Mental Health Symptoms during the Covid-19 Pandemic in Southeast Asia. 2021, 1 .

AMA Style

Sofia Pappa, Jiyao Chen, Joshua Barnet, Anabel Chang, Rebecca Kechen Dong, Wen Xu, Allen Yin, Bryan Z. Chen, Andrew Delios, Richard Z. Chen, Saylor Miller, Xue Wan, Stephen X. Zhang. A Systematic Review and Meta-Analysis of the Mental Health Symptoms during the Covid-19 Pandemic in Southeast Asia. . 2021; ():1.

Chicago/Turabian Style

Sofia Pappa; Jiyao Chen; Joshua Barnet; Anabel Chang; Rebecca Kechen Dong; Wen Xu; Allen Yin; Bryan Z. Chen; Andrew Delios; Richard Z. Chen; Saylor Miller; Xue Wan; Stephen X. Zhang. 2021. "A Systematic Review and Meta-Analysis of the Mental Health Symptoms during the Covid-19 Pandemic in Southeast Asia." , no. : 1.

Journal article
Published: 24 April 2021
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ACS Style

Rebecca DONG. Editorial: Recent Advances in 2020 2nd International Symposium on Big Data and Artificial Intelligence. 2021, 1 .

AMA Style

Rebecca DONG. Editorial: Recent Advances in 2020 2nd International Symposium on Big Data and Artificial Intelligence. . 2021; ():1.

Chicago/Turabian Style

Rebecca DONG. 2021. "Editorial: Recent Advances in 2020 2nd International Symposium on Big Data and Artificial Intelligence." , no. : 1.

Journal article
Published: 22 April 2021 in Journal of Risk and Financial Management
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This paper aims to (1) compare consumers’ preferences between individual products and bundles as well as (2) investigate some of the factors involved in bundle characteristics that may affect consumer’s preferences. Those factors are complementarity, price level, and discount level. An online survey developed by means of questionnaires were collected from the Portuguese population. Student’s t-tests were used to test the hypothesis formulated and to analyze the consumers’ preferences. The findings corroborate that in a scenario where the bundle does not offer any discounts, preference of individual products is higher. When a 20% discount is assigned to bundles, the overall preference for individual products is still superior. By offering a discount level of 45%, the overall preference for bundles becomes higher. The positive effect of complementarity bundles valuation is confirmed. This is the first approach to evaluate the preferences between bundles and individual products in the Portuguese market. The findings contribute to clarify the customer map within a Business Model Canvas. Furthermore, this paper analyzes the bundle complementarity and discount level effects simultaneously.

ACS Style

Paulo Martins; Paula Rodrigues; Carlos Martins; Teresa Barros; Nelson Duarte; Rebecca Dong; Yiyi Liao; Ubaldo Comite; Xiaoguang Yue. Preference between Individual Products and Bundles: Effects of Complementary, Price, and Discount Level in Portugal. Journal of Risk and Financial Management 2021, 14, 192 .

AMA Style

Paulo Martins, Paula Rodrigues, Carlos Martins, Teresa Barros, Nelson Duarte, Rebecca Dong, Yiyi Liao, Ubaldo Comite, Xiaoguang Yue. Preference between Individual Products and Bundles: Effects of Complementary, Price, and Discount Level in Portugal. Journal of Risk and Financial Management. 2021; 14 (5):192.

Chicago/Turabian Style

Paulo Martins; Paula Rodrigues; Carlos Martins; Teresa Barros; Nelson Duarte; Rebecca Dong; Yiyi Liao; Ubaldo Comite; Xiaoguang Yue. 2021. "Preference between Individual Products and Bundles: Effects of Complementary, Price, and Discount Level in Portugal." Journal of Risk and Financial Management 14, no. 5: 192.

Review
Published: 20 April 2021
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Objective In this paper, we aim to provide a systematic review and meta-analysis on the prevalence rates of mental health symptoms of anxiety, depression, and insomnia among the major populations during the COVID-19 pandemic in Africa. Design A systematic review and meta-analysis. Data sources We search and include articles using PubMed, Embase, Web of Science, PsycINFO, and medRxiv databases between Feb 202 and Feb 6th, 2021. Eligibility criteria and data analysis The meta-analysis targets the prevalence rates of mental health symptoms of major populations including frontline/general healthcare workers (HCWs), the general adult population, and medical students during the COVID-19 pandemic in Africa. To estimate the prevalence rates of anxiety, depression, and insomnia, we pooled data using random-effects meta-analyses. Results In this meta-analysis, we identify and include 28 studies and 32 independent samples from 12 countries with a total of 15,072 participants in Africa. Ethiopia (7) and Egypt (6) had the largest number of studies. While many countries including, but not limited to, Algeria, Kenya, and Ghana had a high number of COVID-19 cases, as many as three quarters of African countries have no studies. The pooled prevalence of anxiety in 27 studies was 37% (95%CI: 31-43%, I 2 = 99.0%) and that of depression in 24 studies was 45% (95%CI: 36-51%, I 2 = 99.5%) and that of insomnia in 9 studies was 28% (95%CI: 20-41%, I 2 = 99.2%). The pooled prevalence rates of anxiety, depression, and insomnia in North Africa (44%, 55%, and 31%, respectively) are higher than the rates in Sub-Saharan Africa (31%, 30%, and 24%, respectively). Our analysis indicated high heterogeneity and varying prevalence rates of mental health symptoms during the COVID-19 pandemic in Africa. Discussion We discuss our findings that a) a scarcity of studies in several African countries with a high number of COVID-19 cases, b) high heterogeneity among the studies, c) the extent of prevalence of mental health symptoms in Africa to be high, and d) the pattern of mental health symptoms in Africa differs from elsewhere, i.e., more African adults suffer from depression rather than anxiety and insomnia during COVID 19 compared to adult population in other countries or regions. Hence, our findings carry crucial implications for healthcare organizations and future research to enable evidence-based medicine in Africa. Our findings also call for increased scholarly attention on Africa, the least studied continent with a limited amount of research on mental health symptoms under the COVID 19 pandemic. Trial registration CRD42020224458

ACS Style

Jiyao Chen; Nusrat Farah; Rebecca Kechen Dong; Richard Z. Chen; Wen Xu; Allen Yin; Bryan Z. Chen; Andrew Delios; Saylor Miller; Xue Wan; Stephen X. Zhang. The Mental Health Under the COVID-19 Crisis in Africa: A Systematic Review and Meta-Analysis. 2021, 1 .

AMA Style

Jiyao Chen, Nusrat Farah, Rebecca Kechen Dong, Richard Z. Chen, Wen Xu, Allen Yin, Bryan Z. Chen, Andrew Delios, Saylor Miller, Xue Wan, Stephen X. Zhang. The Mental Health Under the COVID-19 Crisis in Africa: A Systematic Review and Meta-Analysis. . 2021; ():1.

Chicago/Turabian Style

Jiyao Chen; Nusrat Farah; Rebecca Kechen Dong; Richard Z. Chen; Wen Xu; Allen Yin; Bryan Z. Chen; Andrew Delios; Saylor Miller; Xue Wan; Stephen X. Zhang. 2021. "The Mental Health Under the COVID-19 Crisis in Africa: A Systematic Review and Meta-Analysis." , no. : 1.

Review
Published: 14 April 2021
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Objective: This paper systematically reviews and assesses the prevalence of anxiety, depression, and insomnia symptoms in the general population, frontline healthcare workers (HCWs), and adult students in Spain during the COVID-19 crisis. Data sources: Articles in PubMed, Embase, Web of Science, PsycINFO, and medRxiv from March 2020 to February 6, 2021. Results: The pooled prevalence of anxiety symptoms in 23 studies comprising a total sample of 85,560 was 20% (95% CI: 15% - 25%, I2 = 99.9%), that of depression symptoms in 23 articles with a total sample comprising of 86,469 individuals was 23% (95% CI: 18% - 28%, I2 = 99.8%), and that of insomnia symptoms in 4 articles with a total sample of 915 were 52% (95% CI: 42-64%, I2 = 88.9%). The overall prevalence of mental illness symptoms in frontline HCWs, general population, and students in Spain are 42%, 19%, and 50%, respectively. Discussion: The accumulative evidence from the meta-analysis reveals that adults in Spain suffered higher prevalence rates of mental illness symptoms during the COVID-19 crisis with a significantly higher rate relative to other countries such as China. Our synthesis reveals high heterogeneity, varying prevalence rates and a relative lack of studies in frontline and general HCWs in Spain, calling future research and interventions to pay attention to those gaps to help inform evidence-based mental health policymaking and practice in Spain during the continuing COVID-19 crisis. The high prevalence rates call for preventative and prioritization measures of the mental illness symptoms during the Covid-19 pandemic.

ACS Style

Richard Z. Chen; Stephen X. Zhang; Wen Xu; Allen Yin; Rebecca Kechen Dong; Bryan Z. Chen; Andrew Delios; Roger S. McIntyre; Saylor Miller; Xue Wan. A Systematic Review and Meta-Analysis on Mental Illness Symptoms in Spain in the COVID-19 Crisis. 2021, 1 .

AMA Style

Richard Z. Chen, Stephen X. Zhang, Wen Xu, Allen Yin, Rebecca Kechen Dong, Bryan Z. Chen, Andrew Delios, Roger S. McIntyre, Saylor Miller, Xue Wan. A Systematic Review and Meta-Analysis on Mental Illness Symptoms in Spain in the COVID-19 Crisis. . 2021; ():1.

Chicago/Turabian Style

Richard Z. Chen; Stephen X. Zhang; Wen Xu; Allen Yin; Rebecca Kechen Dong; Bryan Z. Chen; Andrew Delios; Roger S. McIntyre; Saylor Miller; Xue Wan. 2021. "A Systematic Review and Meta-Analysis on Mental Illness Symptoms in Spain in the COVID-19 Crisis." , no. : 1.

Review
Published: 03 February 2021
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This paper provides a systematic review and meta-analysis on the prevalence rate of mental health issues of general population, general and frontline healthcare workers (HCWs) in China over one year of the COVID-19 crisis. We systematically searched PubMed, Embase, Web of Science, and Medrxiv at November 16th, 2020, pooled data using random-effects meta-analyses to estimate the prevalence rates, and ran meta-regression to tease out the heterogeneity. The meta-regression results uncovered several predictors of the prevalence rates, including severity, type of mental issues, population, sampling location, and study quality. Pooled prevalence rates are significantly different from, yet largely between, the findings of previous meta-analyses, suggesting the results of our larger study are consistent with yet more accurate than the findings of the smaller, previous meta-analyses. The prevalence rates of distress and insomnia and those of frontline HCWs are higher suggest future research and interventions should pay more attention to those mental outcomes and populations. Our findings suggest a need to examine the prevalence rates at varying levels of severity. The one-year cumulative evidence on sampling locations (Wuhan vs. non-Wuhan) corroborates the typhoon eye effect theory. Trial registration CRD4202022059

ACS Style

Xi Chen; Jiyao Chen; Meimei Zhang; Richard Z. Chen; Rebecca Kechen Dong; Zhe Dong; Yingying Ye; Lingyao Tong; Bryan Z. Chen; Ruiying Zhao; Wenrui Cao; Peikai Li; Stephen X. Zhang. One Year of Evidence on Mental Health Disorders in China during the COVID-19 Crisis - A Systematic Review and Meta-Analysis. 2021, 1 .

AMA Style

Xi Chen, Jiyao Chen, Meimei Zhang, Richard Z. Chen, Rebecca Kechen Dong, Zhe Dong, Yingying Ye, Lingyao Tong, Bryan Z. Chen, Ruiying Zhao, Wenrui Cao, Peikai Li, Stephen X. Zhang. One Year of Evidence on Mental Health Disorders in China during the COVID-19 Crisis - A Systematic Review and Meta-Analysis. . 2021; ():1.

Chicago/Turabian Style

Xi Chen; Jiyao Chen; Meimei Zhang; Richard Z. Chen; Rebecca Kechen Dong; Zhe Dong; Yingying Ye; Lingyao Tong; Bryan Z. Chen; Ruiying Zhao; Wenrui Cao; Peikai Li; Stephen X. Zhang. 2021. "One Year of Evidence on Mental Health Disorders in China during the COVID-19 Crisis - A Systematic Review and Meta-Analysis." , no. : 1.

Communication
Published: 23 June 2020 in Journal of Risk and Financial Management
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This paper introduces risk factors in the field of healthcare and discusses the clinical risks, identification, risk management methods, and tools as well as the analysis of specific situations. Based on documentary analysis, an efficient and coherent methodological choice of an informative and non-interpretative approach, it relies on “unobtrusive” and “non-reactive” information sources, such that the research results are not influenced by the research process itself. To ensure objective and systematical analysis, our research involved three macro-phases: (a) the first involved a skimming (a superficial examination) of the documents collected; (b) the second reading (a thorough examination) allowed a selection of useful information; (c) the third phase involved classification and evaluation of the collected data. This iterative process combined the elements of content and thematic analysis that categorised the information into different categories which were related to the central issues for research purposes. Finally, from the perspective of safety analysis and risk management, we suggest that comprehensive control and operation should be conducted in a holistic way, including patient safety, cost consumption, and organizational responsibility. An organizational strategy that revolves around a constant and gradual risk management process is an important factor in clinical governance which focuses on the safety of patients, operators, and organizations.

ACS Style

Ubaldo Comite; Kechen Dong; Rita Yi Man Li; M. James C. Crabbe; Xue-Feng Shao; Xiao-Guang Yue. An Economic–Business Approach to Clinical Risk Management. Journal of Risk and Financial Management 2020, 13, 135 .

AMA Style

Ubaldo Comite, Kechen Dong, Rita Yi Man Li, M. James C. Crabbe, Xue-Feng Shao, Xiao-Guang Yue. An Economic–Business Approach to Clinical Risk Management. Journal of Risk and Financial Management. 2020; 13 (6):135.

Chicago/Turabian Style

Ubaldo Comite; Kechen Dong; Rita Yi Man Li; M. James C. Crabbe; Xue-Feng Shao; Xiao-Guang Yue. 2020. "An Economic–Business Approach to Clinical Risk Management." Journal of Risk and Financial Management 13, no. 6: 135.

Conference paper
Published: 28 April 2020 in Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence
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With the development of social economy and new science and technology, the form of business is more and more abundant, people's demand for healthy lifestyle is increasingly strong. Healthy lifestyle cannot be separated from healthy eating habits, and fresh agricultural products are essential and important materials. Intelligent logistics distribution path characterized by high efficiency, low cost has become an important link to be improved urgently. Under the background of e-commerce, this paper analyzes the characteristics of fresh agricultural products and logistics distribution, discusses the production, marketing and transportation problems of distribution chain, and tries to obtain the optimal solution through model construction, case analysis, and the application of the Matrix Minimum and the closed loop method.

ACS Style

Ping Li; Yubo Gao; Rebecca Kechen Dong. Research on logistics distribution path optimization of fresh agricultural products under e-commerce background. Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence 2020, 1 .

AMA Style

Ping Li, Yubo Gao, Rebecca Kechen Dong. Research on logistics distribution path optimization of fresh agricultural products under e-commerce background. Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence. 2020; ():1.

Chicago/Turabian Style

Ping Li; Yubo Gao; Rebecca Kechen Dong. 2020. "Research on logistics distribution path optimization of fresh agricultural products under e-commerce background." Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence , no. : 1.

Conference paper
Published: 28 April 2020 in Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence
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The high leverage, low cost, and short-selling characteristics of stock index futures make it an effective tool for investors to avoid risks, hedge and speculate. Therefore, since its listing, stock index futures have been occupying the largest trading volume of Chinese financial derivatives market. Its influence on Chinese stock market far exceeds other financial derivatives. This article mainly focuses on the definition, characteristics and comparison of the CSI 300 Index and the CSI 300 Stock Index Futures, and then explores the linkage between them. The theoretical basis and research methods are explained in terms of price priority and volatility spillover effects.

ACS Style

Bingwang Xue; Rebecca Kechen Dong. Linkage between Shanghai and Shenzhen Stock Index Futures and Spot Prices based on Computing Models. Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence 2020, 1 .

AMA Style

Bingwang Xue, Rebecca Kechen Dong. Linkage between Shanghai and Shenzhen Stock Index Futures and Spot Prices based on Computing Models. Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence. 2020; ():1.

Chicago/Turabian Style

Bingwang Xue; Rebecca Kechen Dong. 2020. "Linkage between Shanghai and Shenzhen Stock Index Futures and Spot Prices based on Computing Models." Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence , no. : 1.

Journal article
Published: 03 April 2020 in Journal of Risk and Financial Management
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This study first analyzes the national and global infection status of the Coronavirus Disease that emerged in 2019 (COVID-19). It then uses the trend comparison method to predict the inflection point and Key Point of the COVID-19 virus by comparison with the severe acute respiratory syndrome (SARS) graphs, followed by using the Autoregressive Integrated Moving Average model, Autoregressive Moving Average model, Seasonal Autoregressive Integrated Moving-Average with Exogenous Regressors, and Holt Winter’s Exponential Smoothing to predict infections, deaths, and GDP in China. Finally, it discusses and assesses the impact of these results. This study argues that even if the risks and impacts of the epidemic are significant, China’s economy will continue to maintain steady development.

ACS Style

Xiao-Guang Yue; Xue-Feng Shao; Rita Yi Man Li; M. James C. Crabbe; Lili Mi; Siyan Hu; Julien S Baker; Liting Liu; Kechen Dong. Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy. Journal of Risk and Financial Management 2020, 13, 66 .

AMA Style

Xiao-Guang Yue, Xue-Feng Shao, Rita Yi Man Li, M. James C. Crabbe, Lili Mi, Siyan Hu, Julien S Baker, Liting Liu, Kechen Dong. Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy. Journal of Risk and Financial Management. 2020; 13 (4):66.

Chicago/Turabian Style

Xiao-Guang Yue; Xue-Feng Shao; Rita Yi Man Li; M. James C. Crabbe; Lili Mi; Siyan Hu; Julien S Baker; Liting Liu; Kechen Dong. 2020. "Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy." Journal of Risk and Financial Management 13, no. 4: 66.