• Title/Summary/Keyword: post-COVID

Search Result 449, Processing Time 0.024 seconds

Research on The Development Strategy of Chinese Cross-Border E-Commerce SMEs under the Background of COVID-19

  • Shulei BI
    • Journal of Distribution Science
    • /
    • v.21 no.10
    • /
    • pp.1-9
    • /
    • 2023
  • Purpose: This study analyses the current development of cross-border e-commerce in China, outlines the challenges faced by Chinese cross-border e-commerce SMEs, and finally summarises the development strategies of Chinese cross-border e-commerce SMEs in the post-covid-19 era, which will provide opinion references for the development of Chinese cross-border e-commerce SMEs. Research design, data and methodology: The methodology used in this study is to analyse the current situation of cross-border e-commerce development in China in the context of covid-19 through literature; and to summarise the challenges encountered by Chinese cross-border e-commerce SMEs through semi-structured interviews. Results: The article summarises the current status of China's cross-border e-commerce development in the context of covid-19 in terms of cross-border e-commerce trade volume, cross-border e-commerce enterprise and user scale, cross-border e-commerce logistics, cross-border e-commerce global co-operation, government policy, and cross-border e-commerce product distribution, outlining challenges encountered by China's cross-border e-commerce SMEs in terms of logistic pricing, operating capital chain, product service support, and trade protection The paper Finally, it is pointed out that Chinese cross-border e-commerce SMEs must adopt new strategies to adapt to the new development in the context of covid-19. Conclusions: Specific development strategies are provided for Chinese cross-border e-commerce enterprises and reference suggestions are provided for the post-covid-19 era.

Post-COVID-19 Syndrome: The Effect of Regret on Travelers' Dynamic Carpooling Decisions

  • Li Wang;Boya Wang;Qiang Xiao
    • Journal of Information Processing Systems
    • /
    • v.20 no.2
    • /
    • pp.239-251
    • /
    • 2024
  • Coronavirus disease 2019 (COVID-19) has severely curtailed travelers' willingness to carpool and complicated the psychological processing system of travelers' carpooling decisions. In the post-COVID-19 era, a two-stage decision model under dynamic decision scenarios is constructed by tracking the psychological states of subjects in the face of multi-scenario carpooling decisions. Through a scenario experiment method, this paper investigates how three psychological variables, travelers' psychological distance to COVID-19, anticipated regret, and experienced regret about carpooling decisions, affect their willingness to carpool and re-carpool. The results show that in the initial carpooling decision, travelers' perception gap of anticipated regret positively predicts carpooling willingness and partially mediates between psychological distance to COVID-19 and carpooling willingness; in the re-carpooling decision, travelers' perception gap of anticipated regret mediates in the process of experienced regret influencing re-carpooling willingness; the inhibitory effect of experienced regret on carpooling in the context of COVID-19 is stronger than its facilitative effect on carpooling willingness. This paper tries to offer a fact-based decision-processing system for travelers.

A systematic review on on-line education in mathematics education: Focused on before and after COVID-19 (수학 교육에서의 온라인 교육에 대한 체계적 문헌 고찰: COVID19 전후를 중심으로)

  • Hwang, Seonyoung;Han, Sunyoung;Cho, Yoonjin;Jeong, Hyeajin;Lee, Jaemin
    • Communications of Mathematical Education
    • /
    • v.38 no.2
    • /
    • pp.93-120
    • /
    • 2024
  • On-line education in mathematics education changed in various aspects before and after COVID-19. This study conducted a systematic literature review of 98 academic papers on on-line education published from 2017 to 2023 in the field of mathematics education before and after COVID19. In particular, this study conducted content analysis to organize on the definitions of various similar terms related to online education. In addition, this study explored research trends on year, research subject, research method, on-line education type, and research topic by the pre-COVID-19, COVID-19, and post-COVID-19 era. Also, a comparative analysis was conducted on literatures on the effects of online education. As a result, first, it was confirmed that there is a need to organize the definitions of terms similar to online education. Also, the implications of identifying the differences and hierarchies between each term can be found. Second, it was confirmed that teachers' expertise for on-line mathematics education was emphasized based on the result of the rapid increase in the number of on-line education studies on teachers since COVID-19. Third, it was confirmed that the number of studies on blended and flipped learning was high in pre-COVID-19, but decreased in the COVID-19 era. Instead, in the COVID-19 era, studies on real-time interactive classes were rapidly active, and even in the post-COVID-19 era, studies on real-time interactive classes still occupied a large proportion. Finally, it was confirmed that the effectiveness of on-line education varies depending on the research background and model. Accordingly, the need to be cautious in interpreting the results of each study on the effectiveness of on-line education was confirmed. Based on these findings, this study presented implications for future research on on-line education in mathematics education.

Effects of Korean Medicine Treatment in Post-acute COVID-19 Syndrome: A Retrospective Case Series of 15 Patients (한방병원에 내원한 급성기 이후 코로나-19 환자 15명에 대한 임상적 특징 및 치료 분석 : 사례군 연구)

  • Park, Jiwon;Hong, Sung-eun;Shin, Jeong-Won;Kim, Kwan-Il;Lee, Beom-Joon;Jung, Hee-Jae
    • The Journal of Internal Korean Medicine
    • /
    • v.43 no.3
    • /
    • pp.396-412
    • /
    • 2022
  • Objective: The aim of this study was to identify the clinical features of post-acute COVID-19 syndrome and the efficacy and safety of Korean medicine treatment. Methods: This study was conducted on 15 patients with post-acute COVID-19 syndrome who visited the outpatient Allergy, Immune, and Respiratory System Department at Kyung Hee University Korean Medicine Hospital from January 10, 2021 to April 10, 2022. We retrospectively analyzed the charts of 15 patients and collected clinical characteristics, Korean medicine treatments, outcome variables (Numeral Rating Scale (NRS), modified Medical Research Council scale (mMRC), Leicester Cough Questionnaire (LCQ), Quality of Life Visual Analog Scale (QOL-VAS), The Post-COVID-19 Functional Status (PCFS)), adverse events, etc. Results: Of the 15 patients, seven (46.7%) were men, and the average age of all patients was 49.7±13 years. The most common symptom was cough (n=9, 60%), and it was followed by dyspnea or increased respiratory effort, fatigue, insomnia, anosmia, etc. The herbal medicine was prescribed for all 15 patients, and Saengmaek-san (n=8, 53.5%) was the most prescribed. Additionally, acupuncture and cupping were performed in four patients (26.7%) each, and electroacupuncture was applied to one patient (6.7%). As a result of Korean medicine treatment, NRS, mMRC, LCQ, QOL-VAS, and PCFS showed improvement, and adverse events were mild. Conclusions: This study presented the clinical features of post-acute COVID-19 syndrome and suggested that Korean medicine treatment may be effective in alleviating related symptoms and enhancing quality of life.

Cardiac Phenotyping of SARS-CoV-2 in British Columbia: A Prospective Echo Study With Strain Imaging

  • Jeffrey Yim;Michael Y.C. Tsang;Anand Venkataraman;Shane Balthazaar;Ken Gin;John Jue;Parvathy Nair;Christina Luong;Darwin F. Yeung;Robb Moss;Sean A Virani;Jane McKay;Margot Williams;Eric C. Sayre;Purang Abolmaesumi;Teresa S.M. Tsang
    • Journal of Cardiovascular Imaging
    • /
    • v.31 no.3
    • /
    • pp.125-132
    • /
    • 2023
  • BACKGROUND: There is limited data on the residual echocardiographic findings including strain analysis among post-coronavirus disease (COVID) patients. The aim of our study is to prospectively phenotype post-COVID patients. METHODS: All patients discharged following acute COVID infection were systematically followed in the post-COVID-19 Recovery Clinic at Vancouver General Hospital and St. Paul's Hospital. At 4-18 weeks post diagnosis, patients underwent comprehensive echocardiographic assessment. Left ventricular ejection fraction (LVEF) was assessed by 3D, 2D Biplane Simpson's, or visual estimate. LV global longitudinal strain (GLS) was measured using a vendor-independent 2D speckle-tracking software (TomTec). RESULTS: A total of 127 patients (53% female, mean age 58 years) were included in our analyses. At baseline, cardiac conditions were present in 58% of the patients (15% coronary artery disease, 4% heart failure, 44% hypertension, 10% atrial fibrillation) while the remainder were free of cardiac conditions. COVID-19 serious complications were present in 79% of the patients (76% pneumonia, 37% intensive care unit admission, 21% intubation, 1% myocarditis). Normal LVEF was seen in 96% of the cohort and 97% had normal right ventricular systolic function. A high proportion (53%) had abnormal LV GLS defined as < 18%. Average LV GLS of septal and inferior segments were lower compared to that of other segments. Among patients without pre-existing cardiac conditions, LVEF was abnormal in only 1.9%, but LV GLS was abnormal in 46% of the patients. CONCLUSIONS: Most post-COVID patients had normal LVEF at 4-18 weeks post diagnosis, but over half had abnormal LV GLS.

A Conceptual Approach for the Effects of COVID-19 on Digital Transformation

  • Fu, Jia;Kim, Injai
    • The Journal of Information Systems
    • /
    • v.32 no.4
    • /
    • pp.211-227
    • /
    • 2023
  • Purpose In the contemporary landscape, marked by the enduring impact of COVID-19 and the recent disruptions stemming from the conflict in Ukraine, the purpose of this study is to navigate the era characterized by pervasive risk and uncertainty. Specifically, the study aims to dissect the impact of the COVID-19 outbreak on digital transformation, exploring the factors influencing this process and considering the multifaceted dynamics at play. The focus extends to the post-COVID-19 landscape, scrutinizing the implications and meanings of digital transformation both before and after the pandemic. Additionally, the study delves into future digital trends, with particular attention to climate and environmental issues, emphasizing corporate responsibilities in averting crises similar to COVID-19. The overarching goal is to provide a holistic perspective, shedding light on both positive and negative facets of digital transformation, and advocating for regulatory enhancements and legal frameworks conducive to a balanced and resilient digital future. Design/methodology/approach This study employs a comprehensive approach to analyze the impact of the COVID-19 outbreak on digital transformation. It considers various facets, such as smart devices reshaping daily routines, transformative changes in corporate ecosystems, and the adaptation of government institutions to the digital era within the broader context of the Fourth Industrial Revolution. The analysis extends to the post-COVID-19 landscape, examining the implications and meanings of digital transformation. Future digital trends, especially those related to climate and environmental issues, are prognosticated. The methodology involves a proactive exploration of challenges associated with digital transformation, aiming to advocate for regulatory enhancements and legal frameworks that contribute to a balanced and resilient digital future. Findings The findings of this study reveal that the digital economy has gained momentum, accelerated by the proliferation of non-face-to-face industries in response to social distancing imperatives during the COVID-19 pandemic. Digital transformation, both preceding and succeeding the onset of the pandemic, has precipitated noteworthy shifts in various aspects of daily life. However, challenges persist, and the study highlights factors that either bolster or hinder the transformative process. In the post-COVID-19 era, corporate responsibilities in averting crises, particularly those resembling the pandemic, take center stage. The study emphasizes the need for a holistic perspective, acknowledging both positive and negative facets of digital transformation. Additionally, it calls for proactive measures, including regulatory enhancements and legal frameworks, to ensure a balanced and resilient digital future.

Associations of unspecified pain, idiopathic pain and COVID-19 in South Korea: a nationwide cohort study

  • Kim, Namwoo;Kim, Jeewuan;Yang, Bo Ram;Hahm, Bong-Jin
    • The Korean Journal of Pain
    • /
    • v.35 no.4
    • /
    • pp.458-467
    • /
    • 2022
  • Background: Few studies have investigated unspecified or idiopathic pain associated with COIVD-19. This study aimed to provide the incidence rates of unspecified pain and idiopathic pain in patients with COVID-19 for 90 days after COVID-19 diagnosis. Methods: A propensity score matched cohort was used, including all patients with COVID-19 in South Korea, and analyzed their electronic medical records. The control group consisted of those who had not had tests for COVID-19 at all. Unspecified pain diagnoses consisted of diagnoses related to pain included in the ICD-10 Chapter XVIII. Idiopathic pain disorders included fibromyalgia, temporomandibular joint disorders, headaches, chronic prostatitis, complex regional pain syndrome, atypical facial pain, irritable bowel syndrome, and interstitial cystitis. Results: After matching, the number of participants in each group was 7,911. For most unspecified pain, the incidences were higher in the COVID-19 group (11.7%; 95% confidence interval [CI], 11.0-12.5) than in the control group (6.5%; 95% CI, 6.0-7.1). For idiopathic pain, only the headaches had a significantly higher incidence in the COVID-19 group (6.6%; 95% CI, 6.1-7.2) than in the control group (3.7%; 95% CI, 3.3-4.1). However, using a different control group that included only patients who visited a hospital at least once for any reasons, the incidences of most unspecified and idiopathic pain were higher in the control group than in the COVID-19 group. Conclusions: Patients with COVID-19 might be at a higher risk of experiencing unspecified pain in the acute phase or after recovery compared with individuals who had not had tests for COVID-19.

The Effect of Long Coronavirus Disease on Obesity and the Role of Korean Medicine (롱코비드가 비만에 미치는 영향과 그에 대한 한의학의 역할)

  • Han, Kyungsun;Kim, Myung-Ho
    • Journal of Korean Medicine for Obesity Research
    • /
    • v.22 no.1
    • /
    • pp.77-85
    • /
    • 2022
  • While the Coronavirus disease 2019 (COVID-19) pandemic is gradually turning into an endemic disease, concerns about post COVID-19 conditions (Long COVID) are emerging. Obesity is a major risk factor for severe complications of COVID-19, and COVID-19 has a wide range of effects on obesity and metabolic function. This paper aims to examine the interaction between COVID-19 and obesity, the effects and mechanisms of long COVID on obesity, and the role of Korean medicine on long COVID-related obesity. Obesity may worsen with cardiometabolic damage and psychosocial insecurity during COVID-19 and long COVID-induced neuroinflammation, systemic inflammation, mitochondrial dysfunction, and hypoxia also may aggravate obesity. Korean Medicine treatments, which have been widely used to treat obesity, have the potential to improve obesity in the era of long COVID by intervening in these mechanisms.

Effects of Stress, Resilience, and Social Support on Post-Traumatic Growth in Nurses Caring for COVID-19 Patients (코로나19 환자를 간호한 간호사의 스트레스, 회복탄력성, 사회적 지지가 외상 후 성장에 미치는 영향)

  • Eun-kyung Shin;Ji-hyun Kim;Mi-ja Kim;Kyung–Mi Park
    • Journal of Industrial Convergence
    • /
    • v.22 no.4
    • /
    • pp.39-48
    • /
    • 2024
  • This study is a descriptive research study to determine the stress, resilience, and social support of nurses who cared for COVID-19 patients and the impact on post-traumatic growth. The survey was conducted on 179 nurses who cared for COVID-19 patients at a general hospital located in D City from July 19, 2021, to August 10, 2021. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using SPSS 22.0. Post-traumatic growth showed a significant positive correlation with resilience (r=.499, p=<.001) and social support (r=.494, p=<.001). As a result of multiple regression analysis, prior knowledge about COVID-19 (𝛽=.142, p=.023), resilience (𝛽=.330, p =<.001), and social support (𝛽=.296, p =<.001) was a significant variable affecting post-traumatic growth. These results will be used as basic data to improve nurses' post-traumatic growth.

Images of Nurses Appeared in Media Reports Before and After Outbreak of COVID-19: Text Network Analysis and Topic Modeling (COVID-19 발생 전·후 언론보도에 나타난 간호사 이미지에 대한 텍스트 네트워크 분석 및 토픽 모델링)

  • Park, Min Young;Jeong, Seok Hee;Kim, Hee Sun;Lee, Eun Jee
    • Journal of Korean Academy of Nursing
    • /
    • v.52 no.3
    • /
    • pp.291-307
    • /
    • 2022
  • Purpose: The aims of study were to identify the main keywords, the network structure, and the main topics of press articles related to nurses that have appeared in media reports. Methods: Data were media articles related to the topic "nurse" reported in 16 central media within a one-year period spanning July 1, 2019 to June 30, 2020. Data were collected from the Big Kinds database. A total of 7,800 articles were searched, and 1,038 were used for the final analysis. Text network analysis and topic modeling were performed using NetMiner 4.4. Results: The number of media reports related to nurses increased by 3.86 times after the novel coronavirus (COVID-19) outbreak compared to prior. Pre- and post-COVID-19 network characteristics were density 0.002, 0.001; average degree 4.63, 4.92; and average distance 4.25, 4.01, respectively. Four topics were derived before and after the COVID-19 outbreak, respectively. Pre-COVID-19 example topics are "a nurse who committed suicide because she could not withstand the Taewoom at work" and "a nurse as a perpetrator of a newborn abuse case," while post-COVID-19 examples are "a nurse as a victim of COVID-19," "a nurse working with the support of the people," and "a nurse as a top contributor and a warrior to protect from COVID-19." Conclusion: Topic modeling shows that topics become more positive after the COVID-19 outbreak. Individual nurses and nursing organizations should continuously monitor and conduct further research on nurses' image.