RETRACTED ARTICLE: The impact of COVID-19 (SARS-CoV-2) in tourism industry: evidence of Kosovo during Q1, Q2 and Q3 period of 2020

Kuqi, Bekë; Elezaj, Elvis; Millaku, Bedri; Dreshaj, Adem; Hùng, Nguyễn Tấn

doi:10.1080/20430795.2021.1883986

Cited by 24 publications

(17 citation statements)

References 30 publications

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“…However, they should understand that overreliance on autonomous agencies in distributing vital medical equipment is not the best way to go about public health transactions. That is true because the current pandemic has proven that such agencies can be unreliable, causing mass deaths in the region [26]. This study demonstrates that even when the prices of resources are fixed before a pandemic, most autonomous agencies still have the incentives to pursue their interests, leading to blocked transactions in the middle of a fatal pandemic [28].…”

Section: Discussionmentioning

confidence: 91%

“…According to the participants or the health care professionals, over ten percent of the health care service providers in the western Balkan perished from the virus, leaving the health care system with inadequate personnel to attend to many cases. Besides, that implies that the health care system must train new workers to replace the lost ones, but that takes time and money, creating an economic gap that hinders proper restructuring from combating the deadly virus [26].…”

Section: Resultsmentioning

confidence: 99%

“…In most cases, the highly exorbitant investment may not make sense to most health care systems because such magnitude of pandemic rarely occurs, making many consider investing such resources to other sectors of the economy. Consequently, that leads the population vulnerably to similar highly contagious viruses, making the investment necessary to increase the preparedness for any type of pandemics in the future [26].…”

Section: Discussionmentioning

confidence: 99%

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The Effect of Covid-19 in Western Balkan Societies: Analyzing the Health Care System Economy

Shahini¹

2021

Proceedings of ‏The 3rd International Conference on Future of Business, Management and Economics

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This paper aims to identify the correlation between the Covid-19 pandemic and the ability of the health care systems to restructure to combat the pandemic. There is inadequate information on the relationship between the two variables in the current literature review, making the primary data essential in carrying out the study. In this study, the researcher used a correlation research design to establish the cause-effect relationship between the two variables: Covid-19 and its effect on restructuring the health care systems economy in the Western Balkan area. An increase in the shortage of medical equipment has reduced the health care systems' ability to restructure for the pandemic. The study also found out that the health care facilities in the Western Balkan experienced a widespread shortage of ventilators and ICU beds, making it a significant challenge to contain the virus. Increased unpreparedness led to a decrease in health care systems' ability to restructure. The fallout of Covid-19 has impacted almost every facet of the healthcare economies in the Western Balkan region. The study found that the lack of preparedness was the main contributor to the struggles experienced in the region's healthcare facilities. There was a lack of preparedness on the part of the health care system in the Western Balkan because the medical response to the corona pandemic imposed a staggering cost on the local health care systems. That left many people from the area to struggle with the demand spikes on their limited resources, making it hard for the health care institutions to survive the pandemic effects. In the region, like in other areas worldwide, the health care sectors are designed to tackle more than the average demand for health care services in common diseases.However, for the Covid-19 pandemic, the story is different as it requires extra resources. In most cases, the highly exorbitant investment may not make sense to most health care systems because such a magnitude of pandemic rarely occurs, making many consider investing such resources to other sectors of the economy.

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Section: Discussionmentioning

confidence: 91%

Section: Resultsmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

The Effect of Covid-19 in Western Balkan Societies: Analyzing the Health Care System Economy

Shahini¹

2021

Proceedings of ‏The 3rd International Conference on Future of Business, Management and Economics

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“…Municipalities in Kosovo have shown good potential in institutional management and taking measures to prevent the spread of COVID-19 virus [16]. In addition to the awarenessraising role, municipalities have proven to have a good coordinating role -cooperating with the central level and this approach has given good results in maintaining the public health of the country's citizens.…”

Section: Conclusion and Recommendationsmentioning

confidence: 99%

Challenges in the Tourism Industry During COVID-19 Pandemic in Kosovo

Kuqi¹,

Millaku²,

Dreshaj³

et al. 2021

IJSDP

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From March 2020 to early June 2020, Kosovo introduced various travel restriction measures for foreign nationals, including entry bans, closure of land and air border crossings, two-week quarantine, and self-isolation. From March to May, the country was almost completely blocked, where the activities of the tourism industry were strictly prohibited while businesses encountered great difficulties to operate and provide services, the number of jobseekers in the country increased significantly, precisely because of the cessation of activities, because this sector is considered to be one of the sectors that contributes the most to employment in our country, despite the fact that some of these businesses are family businesses. A significant number of employees in these sectors in our country may lose their jobs, as a result of the situation created, and this will further deepen the tourism industry, mainly due to the decline in the volume of remittances and tourism diaspora in Kosovo. While restrictive measures may have had a positive impact on curbing the spread of the virus, and preventing the escalation of the health crisis, the effect and consequences of closing the economy for months is severe for the tourism industry.

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“…These disorders include a wide variety of brain‐related issues such as stress, anxiety, depression, schizophrenia, and intellectual disabilities, and they can affect people's mental and physical health 4 . Some drugs and diseases like methamphetamine use, 5 Eosinophilic Esophagitis (EoE) disease, 6 covid‐19 impact 7,8 also related to a variety of psychiatric symptoms, including psychosis, anxiety, and depression. Neurological disorders, commonly known as brain, behavioral, or cognitive disorders, are conditions that impair a person's ability to walk, talk, read, and move.…”

Section: Introductionmentioning

confidence: 99%

Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta‐heuristic assisted deep learning model

Babu

Rao

2021

Int J Imaging Syst Tech

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Alzheimer's disease (AD) is a widespread neurodegenerative disease that causes 60–80% of all dementias and has a large economic impact in developed countries. For early‐stage AD detection, volumetric measures of magnetic resonance imaging (MRI) have proven to be a benchmark method. To detect potential cases, existing methods combine health records, neuropsychological testing, and MRI, although learning implementation is inconsistently used and has low sensitivity and specificity. Furthermore, numerous classification approaches for diagnosing AD have been suggested with differing complexity. Thus, we have introduced our novel AD diagnosis model with two main phases such as proposed feature extraction and classification. In the first phase, the gray‐level co‐occurrence matrix (GLCM), Haralick features as well as proposed geometric Haralick features known as geometric correlation and variance are extracted. In the second phase, an optimized deep convolutional neural network (DCNN) is utilized for classification. To make the prediction more accurate, the weight and the activation function of DCNN are optimally chosen by a new hybrid model termed as Combined Gray Wolf and Dragon Updating (CG‐DU). At last, the superiority of the adopted scheme is validated in terms of performance analysis, convergence analysis, box plot analysis, and computation time analysis. Especially, the proposed model achieves a mean accuracy of 0.98795, sensitivity of 0.98671, and specificity of 0.99429. Moreover, the computation time of the CG‐DU model is 2.92%, and 0.14% superior to existing GWO and DA methods respectively.

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RETRACTED ARTICLE: The impact of COVID-19 (SARS-CoV-2) in tourism industry: evidence of Kosovo during Q1, Q2 and Q3 period of 2020

Cited by 24 publications

References 30 publications

The Effect of Covid-19 in Western Balkan Societies: Analyzing the Health Care System Economy

The Effect of Covid-19 in Western Balkan Societies: Analyzing the Health Care System Economy

Challenges in the Tourism Industry During COVID-19 Pandemic in Kosovo

Automated assessment for Alzheimer's disease diagnosis from MRI images: Meta‐heuristic assisted deep learning model

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