• Title/Summary/Keyword: Pandemic

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How Did the COVID-19 Pandemic Affect Mobility, Land Use, and Destination Selection? Lesson from Seoul, Korea

  • Lee, Jiwon;Gim, Tae-Hyoung Tommy;Park, Yunmi;Chung, Hyung-Chul;Handayani, Wiwandari;Lee, Hee-Chung;Yoon, Dong Keun;Pai, Jen Te
    • Land and Housing Review
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    • v.14 no.4
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    • pp.77-93
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    • 2023
  • The COVID-19 pandemic has brought about significant social changes through government prevention and control measures, changes in people's risk perceptions, and lifestyle changes. In response, urban inhabitants changed their behaviors significantly, including their preferences for transportation modes and urban spaces in response to government quarantine policies and concerns over the potential risk of infection in urban spaces. These changes may have long-lasting effects on urban spaces beyond the COVID-19 pandemic or they may evolve and develop new forms. Therefore, this study aims to explore the potential for urban spaces to adapt to the present and future pandemics by examining changes in urban residents' preferences in travel modes and urban space use due to the COVID-19 pandemic. This study found that overall preferences for travel modes and urban spaces significantly differ between the pre-pandemic, pandemic, and post-pandemic periods. During the pandemic, preferences for travel modes and urban spaces has decreased, except for privately owned vehicles and green spaces, which are perceived to be safe from transmission, show more favorable than others. Post-pandemic preferences for travel modes and urban spaces are less favorable than pre-pandemic with urban spaces being five times less favorable than transportation. Although green spaces and medical facilities that were positively perceived during the pandemic are expected to return to the pre-pandemic preference level, other factors of urban spaces are facing a new-normal. The findings suggest that the COVID-19 pandemic has had a significant impact on urban residents' preferences for travel modes and urban space use. Understanding these changes is crucial for developing strategies to adapt to present and future pandemics and improve urban resilience.

Job Performance During COVID-19 Pandemic: A Study on Indonesian Startup Companies

  • MUTTAQIN, Galih Fajar;TAQI, Muhammad;ARIFIN, Bustanul
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.12
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    • pp.1027-1033
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    • 2020
  • This study intends to improve job performance during the Covid-19 pandemic at startup companies in Indonesia. In this study, the variables tested were job satisfaction, job innovation, Indonesian culture control, and job performance. Increasing job performance is deemed necessary in facing the economic crisis caused by the Covid-19 pandemic. Job innovation, job satisfaction, and culture control are deemed necessary in improving job performance. The population of this study are managers of start-up companies in Jakarta, Banten, and West Java. This research data obtained by distributing questionnaires to startup managers. This is a quantitative study with primary data. The sample technique used was purposive sampling. Structural Equation Model using Partial Least Square statistical software was used to analyze data. The results of this study indicate a change in the pattern of work performed by startup companies in running their business. Before the Covid-19 pandemic, employees worked in offices for seven hours, but after this pandemic, they change work patterns, moving them to work from home. Working from home requires companies to exercise better control and leadership patterns so that employees can work comfortably.

Preparedness of Siddha system of medicine in practitioner perspective during a pandemic outbreak with special reference to COVID-19

  • Rajalakshmi, S.;Samraj, K.;Sathiyarajeswaran, P.;Kanagavalli, K.
    • CELLMED
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    • v.10 no.4
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    • pp.29.1-29.6
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    • 2020
  • COVID-19 (Corona Virus Disease-2019) is an infectious respiratory disease caused by the most recently discovered coronavirus, SARS-CoV-2 (Severe Acute Respiratory Syndrome Corona virus-2). This new viral disease was unknown before the outbreak began in Wuhan, China, in December 2019. As of November 16th 2020, it affects about 54.3 million populations, death troll increased to 1.32 million cases in worldwide. Whereas in India 8.85 cases are infected with COVID-19, of which 1, 30, 112 cases were died. Till now there has been no specific anti-virus drug or vaccines are available for the treatment of this disease, the supportive care and non-specific treatment to the symptoms of the patient are the only options in Biomedicine, the entire world turns its attention towards alternative medicine or Traditional medicine. Siddha medicine is one of the primordial systems of medicine practiced in the southern part of India, it dealt a lot about pandemic, and its management. This review provides an insight into Pandemic in Siddha system and its management in both ancient history and modern history, National and state level Government policies related to current pandemic, World Health Organization (WHO) guidelines on usage of unproven drug during infectious disease outbreak, Preparedness of Siddha system during a pandemic outbreak Challenges and Recommendations.

Air Pollution Changes of Jakarta, Banten, and West Java, Indonesia During the First Month of COVID-19 Pandemic

  • PRAMANA, Setia;PARAMARTHA, Dede Yoga;ADHINUGROHO, Yustiar;NURMALASARI, Mieke
    • Asian Journal of Business Environment
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    • v.10 no.4
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    • pp.15-19
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    • 2020
  • Purpose: This research aims to explore the level of air pollution in Jakarta, the epicenter of COVID-19 Pandemic in Indonesia and its surrounding provinces during the first month of the Pandemic. Research design, data and methodology: This study uses data, which have been obtained real time from API (Application Programming Interfaces) of air quality website. The measurements of Air Quality Index (AQI), temperature, humidity, and other factors from several cities and regencies in Indonesia were obtained eight times a day. The data collected have been analyzed using descriptive statistics and mapped using QGIS. Results: The finding of this study indicates that The Greater Jakarta Area experienced a decrease in pollutant levels, especially in the Bogor area. Nevertheless, some areas, such as the north Jakarta, have exhibited slow reduction. Furthermore, the regions with high COVID-19 confirmed cases have experienced a decline in AQI. Conclusions: The study concludes that the air quality of three provinces, Jakarta, Banten, and West Java, especially in cities located in the Jakarta Metropolitan Area during COVID-19 pandemic and large-scale social restrictions, is getting better. However, in some regions, the reduction of pollutant concentrations requires a longer time, as it was very high before the pandemic.

The Reaction of the Malaysian Stock Market to the COVID-19 Pandemic

  • Mehmood, Waqas;Mohd-Rashid, Rasidah;Aman-Ullah, Attia;Shafique, Owais;Tajuddin, Ahmad Hakimi
    • Journal of Contemporary Eastern Asia
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    • v.20 no.2
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    • pp.63-84
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    • 2021
  • The present study was conducted to understand the turmoil effects of COVID-19 pandemic on the Malaysian stock market during the different periods of the Movement Control Order (MCO). The present study was based on the secondary data extracted from the DataStream and Bloomberg from 2nd January 2020 to 29th May 2020 to evaluate the effects of COVID-19 pandemic on the Malaysian stock market. The findings suggested that during the different periods of the Movement Control Order (MCO) from the 1st January to 29th May 2020, the COVID-19 pandemic adversely affected the performance of KLCI index and all sectoral indices. The weakest performance indices were energy, property, and finance while the least affected indices were healthcare, technology, telecommunications, and media. This paper provides a review of the impacts of COVID-19 pandemic on the Malaysian stock market throughout the different periods of MCO.

The Future of Flexible Learning and Emerging Technology in Medical Education: Reflections from the COVID-19 Pandemic (포스트 코로나 시대 플렉서블 러닝과 첨단기술 활용 중심의 의학교육 전망과 발전)

  • Park, Jennifer Jihae
    • Korean Medical Education Review
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    • v.23 no.3
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    • pp.147-153
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    • 2021
  • The coronavirus disease 2019 (COVID-19) pandemic made it necessary for medical schools to restructure their curriculum by switching from face-to-face instruction to various forms of flexible learning. Flexible learning is a student-centered approach to learning that has received interest in many educational sectors. It is a critical strategy for expanding access to higher education during the pandemic. As flexible learning includes online, blended, hybrid, and hyflex learning options, learners have the opportunity to select an instruction modality based on their needs and interests. The shift to flexible learning in medical education took place rapidly in response to the COVID-19 pandemic, and learners, instructors, and schools were not prepared for this instructional change. Through the lens of the technology acceptance model, human agency, and a social constructivist perspective, I examine students, instructors, and educational institutions' roles in successfully navigating the digital transformation era. The pandemic has also accelerated the use of advanced information and communication technologies, such as artificial intelligence and virtual reality, in learning. Through a review of the literature, this paper aimed to reflect on current flexible learning practices from the instructional design and educational technology perspective and explore emerging technologies that may be implemented in future medical education.

DLDW: Deep Learning and Dynamic Weighing-based Method for Predicting COVID-19 Cases in Saudi Arabia

  • Albeshri, Aiiad
    • International Journal of Computer Science & Network Security
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    • v.21 no.9
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    • pp.212-222
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    • 2021
  • Multiple waves of COVID-19 highlighted one crucial aspect of this pandemic worldwide that factors affecting the spread of COVID-19 infection are evolving based on various regional and local practices and events. The introduction of vaccines since early 2021 is expected to significantly control and reduce the cases. However, virus mutations and its new variant has challenged these expectations. Several countries, which contained the COVID-19 pandemic successfully in the first wave, failed to repeat the same in the second and third waves. This work focuses on COVID-19 pandemic control and management in Saudi Arabia. This work aims to predict new cases using deep learning using various important factors. The proposed method is called Deep Learning and Dynamic Weighing-based (DLDW) COVID-19 cases prediction method. Special consideration has been given to the evolving factors that are responsible for recent surges in the pandemic. For this purpose, two weights are assigned to data instance which are based on feature importance and dynamic weight-based time. Older data is given fewer weights and vice-versa. Feature selection identifies the factors affecting the rate of new cases evolved over the period. The DLDW method produced 80.39% prediction accuracy, 6.54%, 9.15%, and 7.19% higher than the three other classifiers, Deep learning (DL), Random Forest (RF), and Gradient Boosting Machine (GBM). Further in Saudi Arabia, our study implicitly concluded that lockdowns, vaccination, and self-aware restricted mobility of residents are effective tools in controlling and managing the COVID-19 pandemic.

The Impact of the COVID-19 Pandemic on the Batik Industry: An Empirical Study in Indonesia

  • PANJAITAN, Feliks Anggia B.K.;SAYYID, Mokhtar;MAQSUDI, Achmad;ANDJARWATI, Tri
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.923-930
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    • 2021
  • The COVID-19 pandemic weakened the small- and medium-sized enterprise (SME) sector. The decline in turnover is one that is felt by the batik industry in East Java, and the decline in turnover in the batik industry is very drastic. This research was conducted to prove the influence of the COVID-19 pandemic on SMEs in the batik industry. One model is proposed to prove the existence of an increase in the performance of the batik industry's SMEs by implementing a customer relationship management strategy, business strategy, and market orientation. The study population was the batik industry entrepreneurs in East Java, Indonesia, using SEM analysis based on Amos, purposive sampling method, and a sample of 180 respondents. The results showed that the model was accepted. The results also show that customer relationship management and business strategy contributed to the performance of SMEs, while market orientation did not contribute to the performance of SMEs during the COVID-19 pandemic. To be able to maintain the sustainability of the company, the steps taken by the company are to lay off some of the employees, and during the production period the production stops, and focus on selling goods that have been previously produced.

Adaptation Strategy of Tourism Industry Stakeholders During the COVID-19 Pandemic: A Case Study in Indonesia

  • KRISTIANA, Yustisia;PRAMONO, Rudy;BRIAN, Reagan
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.4
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    • pp.213-223
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    • 2021
  • The objectives of this study are (1) to describe the changes in the tourism industry that have occurred due to COVID-19; (2) explain the adaptation strategies of tourism industry stakeholders to maintain the resilience of Tanjung Puting tourism destination during the COVID-19 pandemic, and (3) explain the government's strategy in supporting tourism industry stakeholders to maintain the sustainability of Tanjung Puting tourism destinations during the COVID-19 pandemic. This is qualitative research; data was collected through in-depth interviews and the collection of published documents or information related to the Tanjung Puting tourism destination. The data analysis technique used in this study was interactive analysis. The results of the study found that the COVID-19 pandemic caused the tourism industry to experience dormancy, tourism stakeholders who lost income, switched to other sectors and looked for other alternative jobs. Tourism workers are currently doing jobs outside the tourism sector to survive, but when tourism is running normally, will return to their main jobs. The strategy undertaken by the government is to build resilience at the meso level, focusing on tourism destinations. The findings of this study suggest that tourism industry players are required to be creative and innovative in facing this pandemic.

The Impacts of the COVID-19 Pandemic on the Movement of Composite Stock Price Index in Indonesia

  • ZAINURI, Zainuri;VIPHINDRARTIN, Sebastiana;WILANTARI, Regina Niken
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.3
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    • pp.1113-1119
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    • 2021
  • This study aims to determine the impact of the news coverage of the COVID-19 pandemic on the composite stocks' movement (IHSG) in Indonesia. This study used secondary data of daily time series with an observation range of March 2020-June 2020. This study used three main variables, namely, COVID-19 news, the daily price of a composite stock market index (IHSG), and interest rate. This study clarifies pandemic news into two forms to facilitate quantitative analysis, namely, good news and bad news. Both pandemic news conditions, which have been clarified, are then processed into the index and reprocessed along with two other variables using vector autoregressive (VAR). The results showed that the good news have a dominant effect on developing the composite stock price index (IHSG) in Indonesia during the COVID-19 pandemic. Although the good news dominates the composite stock price index (IHSG) movement in Indonesia, the bad news must also be anticipated. By implementing a series of macroeconomic policies that follow the conditions of the composite stock price index (IHSG) movements on the stock exchange floor, the bad news response can decrease the potential for a decline in investor confidence, so that the financial system's macroeconomic stability is maintained.