• Title/Summary/Keyword: Impact of COVID-19

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The Influence of the COVID-19 Anxiety and Dietary Lifestyles on the Drone Food Delivery Service Attitude (COVID-19 불안감과 식생활 라이프스타일에 따른 드론 음식배달 서비스에 대한 소비자 태도)

  • Zhao, Jun Wei;Park, Hyun Jung
    • Journal of Digital Convergence
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    • v.20 no.2
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    • pp.175-184
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    • 2022
  • This study investigates the impact of COVID-19 anxiety on dietary lifestyle and the effect of different dietary lifestyle on the intention to use drone food delivery services. A questionnaire survey was conducted among 356 Chinese consumers aware of drone food delivery services. Results show that First, COVID-19 anxiety significantly impacted dietary lifestyle, including health pursuit, safety pursuit, and convenience pursuit. Second, the dietary lifestyle of health pursuit, fashion pursuit, and convenience pursuit positively affected service perceptions, including perceived safety and perceived rapidity, perceived compatibility. The dietary lifestyle of taste pursuit positively associated with safety of drone food delivery service, while the dietary lifestyle of safety pursuit positively related to safety and rapidity of drone food delivery services. Third, the perceptions related to security, rapidity, and compatibility of drone food delivery services enhanced service usage intention. Results show that COVID-19 anxiety was positively associated with dietary lifestyle, influencing consumer attitudes toward drone food delivery services.

A Scoping Review on the Expected Role of Community Pharmacists in the Era of COVID-19 Pandemic Crisis Across OECD Countries (OECD 회원국에서 COVID-19 팬더믹 위기시대 지역약사의 확장된 역할에 대한 주제범위 문헌고찰)

  • Iyn-Hyang Lee;Nam Kyung Je
    • Korean Journal of Clinical Pharmacy
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    • v.32 no.4
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    • pp.288-302
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    • 2022
  • Objective: Community pharmacists are frontline health care providers, but have been considered as underutilized professionals on a daily basis. The purpose of this scoping review was to identify information about the impact of the COVID-19 pandemic on community pharmacy services and to evaluate new services that could be applicable. Methods: We searched MEDLINE and EMBASE for studies published up to January 10, 2020. Search terms consisted of keywords relevant to this review, including "COVID-19", "community pharmacy", and "community pharmacist". This review targeted studies of pharmacist services provided by community pharmacies in OECD member countries during the COVID-19 pandemic period. Results: Twenty-seven studies were included in this review. Changes in community pharmacist services due to the COVID-19 pandemic were broadly classified into four categories. First, as the face-to-face services became challenging, various non-face-to-face services were being tried. Second, community pharmacists directly participated in the services to prevent the spread of COVID-19. Third, community pharmacists made efforts to support continuity of care for patients who experienced difficulties due to the reduced professional care as health and medical resources are concentrated in response to COVID-19. Fourth, community pharmacist services were emerging, targeting patients suffering from greater health inequality during the pandemic. Patients expressed high demand and satisfaction for the service of the community pharmacist, and pharmacists reported self-efficacy and professional pride. Conclusion: This study demonstrated that in the era of the COVID-19 pandemic, various community pharmacist services have been tried and received positive evaluations from patients in several OECD countries.

Using Data Mining Techniques for Analysis of the Impacts of COVID-19 Pandemic on the Domestic Stock Prices: Focusing on Healthcare Industry (데이터 마이닝 기법을 통한 COVID-19 팬데믹의 국내 주가 영향 분석: 헬스케어산업을 중심으로)

  • Kim, Deok Hyun;Yoo, Dong Hee;Jeong, Dae Yul
    • The Journal of Information Systems
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    • v.30 no.3
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    • pp.21-45
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    • 2021
  • Purpose This paper analyzed the impacts of domestic stock market by a global pandemic such as COVID-19. We investigated how the overall pattern of the stock market changed due to the impact of the COVID-19 pandemic. In particular, we analyzed in depth the pattern of stock price, as well, tried to find what factors affect on stock market index(KOSPI) in the healthcare industry due to the COVID-19 pandemic. Design/methodology/approach We built a data warehouse from the databases in various industrial and economic fields to analyze the changes in the KOSPI due to COVID-19, particularly, the changes in the healthcare industry centered on bio-medicine. We collected daily stock price data of the KOSPI centered on the KOSPI-200 about two years before and one year after the outbreak of COVID-19. In addition, we also collected various news related to COVID-19 from the stock market by applying text mining techniques. We designed four experimental data sets to develop decision tree-based prediction models. Findings All prediction models from the four data sets showed the significant predictive power with explainable decision tree models. In addition, we derived significant 10 to 14 decision rules for each prediction model. The experimental results showed that the decision rules were enough to explain the domestic healthcare stock market patterns for before and after COVID-19.

An Empirical Study on the Factors Affecting Continuance Intention to Use of Online Distance Learning of Airline Department Collegue Students : Focused on Post-Acceptance Model (항공과 대학생들의 실시간 온라인 원격수업의 지속사용의도에 영향을 미치는 요인에 관한 연구 : 후기수용모델을 중심으로)

  • Lee, You-Jin
    • Journal of Information Technology Services
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    • v.19 no.5
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    • pp.107-124
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    • 2020
  • Due to spread of covid-19, which began in December 2019, the usage of online distance learning has expanded within colleges. However, because of the lack of readiness for running online distance learning, professors and students had to experience a lot of inconvenience. In the near future, the usage of online distance learnig is expected to more expand, thus, it seems that there should be a strategies for sustainable online learning operations. This study aims to investigate which factors have impact on the continuance intention to usage of online distance learning of airline department students, focused on Post-Acceptance Model. For the empirical analysis, this study utilized a structural equation model after collecting 136 survey data. The results is as follow; First, user interface has positive impact on confirmation and confirmation has positive impact on satisfaction of online distance learning. Seconds, confirmation has positive impact on perceived usefulness, flow and social presence. Third, social presence has positive impact on satisfaction of online distance learning, but perceived usefulness and flow didn't have statistically meaningful impact on satisfaction. Finally, statisfaction of online distance learning has huge positive impact on continuance intention to usage. It is expected that the implications of this study enable colleges effectively to run online distance learning in preparation for the post-covid 19 era.

Impact of Modern Information and Communication Technologies on Economic Security in the Context of COVID-19

  • Kotlyarevskyy, Yaroslav;Petrukha, Sergii;Mandzinovska, Khrystyna;Brynzei, Bohdan;Rozumovych, Natalia
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.199-205
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    • 2022
  • The main purpose of the study is to analyze the main aspects of the impact of information and communication technologies on the economic security system in the context of a pandemic situation. The new realities of the modern turbulent world require a new approach to the issues of ensuring economic security, in which information and communication technologies and information security are beginning to play an increasingly important role. As a result of a detailed analysis of the further functioning of all components of economic security in the context of the existence of the consequences of the COVID-19 pandemic.

Factors Affecting Real Estate Prices During the COVID-19 Pandemic: An Empirical Study in Vietnam

  • HA, Nguyen Ho Phi
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.10
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    • pp.159-164
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    • 2021
  • The COVID-19 pandemic has widely spread and has become a global problem. The pandemic has had a negative impact on most countries and on the global economic growth. In the real estate and housing market, the impact of the pandemic has directly disrupted the supply of raw materials and human resources. In case of Vietnam, the real estate and housing markets are increasingly becoming important contributors to Vietnam's economy, with a combined contribution of approximately 6% to the GDP of the country. Also, the pandemic has negatively affected the real estate in Vietnam. Using a sample data of 220 home, apartment and real estate buyers in the period of April 2020 to Apr 2021 in Nam Tu Liem and Cau Giay districts, Hanoi, the research results demonstrate that the area of the house, the number of beds, and the location of the land show a positive influence on the real estate price. Meanwhile, the distance from the land to the center of the district has a negative effect on the price, which means that the further away a land is from the center, lower is its price.

ESTIMATING THE NUMBER OF ICU PATIENTS OF COVID-19 BY USING A SIMPLE MATHEMATICAL MODEL

  • Hyojung Lee;Giphil Cho
    • East Asian mathematical journal
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    • v.40 no.1
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    • pp.119-125
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    • 2024
  • Predicting the number of ICU patients holds significant importance, serving as a critical aspect in efficiently allocating resources, ensuring high-quality care for critically ill individuals, and implementing effective public health strategies to mitigate the impact of diseases. This research focuses on estimating ICU patient numbers through the development of a simple mathematical model. Utilizing data on confirmed COVID-19 cases and deaths, this model becomes a valuable tool for predicting and managing ICU resource requirements during the ongoing pandemic. By incorporating historical data on infected individuals and fatalities from previous weeks, we establish a straightforward equation. We found the substantial impact of the delay in infected individuals, particularly those occurring more than five weeks earlier, on the accuracy of ICU predictions. Proactively preparing for potential surges in severe cases becomes feasible by forecasting the demand for intensive care beds, ultimately improving patient outcomes and preventing excessive strain on medical facilities.

Assessing the Economic Impact of Covid-19 through a Counterfactual Analysis

  • Hongjai Rhee
    • East Asian Economic Review
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    • v.28 no.1
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    • pp.69-94
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    • 2024
  • The Covid-19 pandemic has caused unprecedented disruptions across industries worldwide. This paper aims to analyze the economic impact of the pandemic on the sales performance of basic commercial areas in Seoul, Korea. Using a regression analysis with credit card transaction data, the study underscores the critical nature of determining the reference point for comparison. Firstly, in comparison to the revenue in the same quarter before the onset of the pandemic, a significant decrease in revenue was observed across most categories during the pandemic periods. Secondly, when compared to the counterfactual revenue in the same period, extrapolated by an exponential smoothing forecasting, the overall revenue decrease during the periods was less pronounced, except in a few categories. Interestingly, certain categories appeared to witness marginal increases in sales after the pandemic. The paper discusses some policy implications of these findings.

Psychosomatic Symptoms Following COVID-19 Infection (코로나19 감염과 그 이후의 정신신체증상)

  • Sunyoung Park;Shinhye Ryu;Woo Young Im
    • Korean Journal of Psychosomatic Medicine
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    • v.31 no.2
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    • pp.72-78
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    • 2023
  • Objectives : This study aims to identify various psychiatric symptoms and psychosomatic symptoms caused by COVID-19 infection and investigate their long-term impact. Methods : A systematic literature review was conducted, selecting papers from domestic and international databases using keywords such as "COVID-19" and "psychosomatic." A total of 16 papers, including those using structured measurement tools for psychosomatic symptoms, were included in the final analysis. Results : Psychiatric symptoms such as anxiety, depression, and somatic symptoms have been reported in acute COVID-19 infection, while long-term post-COVID symptoms include chest pain and fatigue. The frequency of long-term psychosomatic symptoms has been estimated to be 10%-20%. Factors contributing to these symptoms include psychological and social stress related to infectious diseases, gender, elderly age, a history of psychiatric disorders, and comorbid mental illnesses. It is suggested that systemic inflammation, autoimmune responses, and dysregulation of the autonomic nervous system may be involved. Conclusions : Psychosomatic symptoms arising after COVID-19 infection have a negative impact on quality of life and psychosocial functioning. Understanding and addressing psychiatric aspects are crucial for symptom prevention and treatment.

Understanding Post-Pandemic Travel Intention: Boredom as a Key Predictor (포스트 팬데믹 여행 의도에 관한 연구 : 코로나에 대한 지루함을 중심으로)

  • Park, Jun Sung;Park, Heejun
    • Journal of Korean Society for Quality Management
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    • v.52 no.1
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    • pp.1-21
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    • 2024
  • Purpose: This study seeks to explore the impact of COVID-19-induced boredom, a prevalent form of pandemic-related stress, on travel motivation and post-pandemic travel intentions. Additionally, it examines the interplay among travel motivation, travel constraints, and the willingness to pay more for travel experiences in the post-pandemic context. Methods: A PLS-SEM analysis was conducted to analyze the data. Data collection took place through an online survey in February and March 2021, with a total of 575 respondents participating. Participants provided responses regarding their current levels of boredom due to COVID-19, five different travel motivations, seven travel constraints, and their post-pandemic travel intentions. Additionally, participants were asked about their willingness to pay more for travel. Results: This study highlights the significant role of COVID-19-induced boredom in predicting post-pandemic travel intentions and the willingness to pay more for travel. Contrary to previous perceptions, boredom emerges as a driving factor, enhancing travel intentions during the pandemic. Additionally, relaxation becomes the primary motivation for travel during COVID-19, and structural constraints exert a noticeable impact on travel intentions, challenging previous assumptions. Stress levels directly influence the willingness to pay more during travel experiences, expanding the understanding of additional payment behavior in the context of travel. Conclusion: This study offers practical insights for tourism stakeholders. Recognizing and addressing boredom in marketing strategies, implementing aggressive additional payment options, and focusing on relaxation-oriented travel products are recommended to cater to post-pandemic traveler preferences and revive the tourism industry effectively.