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A Psychotherapist Paints is a unique account of an internationally known psychotherapist and group analyst's struggle to bring together his psychological experience and his interests and talent as an artist. This book describes a body of painting that was responsive to a major existential challenge, the COVID-19 pandemic, but which also comes from deeply personal experience;the paintings are a mirror of life through the decades. These paintings, fifty of which are included here in full color, were mainly presented online to groups both small and large, who were invited to participate in a dialogue that became a vital part of the developing project. The value of this dialogue is reflected in the author's concept of the "artist's matrix", describing the social context in which an artist produces and presents their work. The paintings, together with the autobiographical narrative and the groups' generativity, combine to produce a moving testament to our times. Intrinsic to A Psychotherapist Paints is a question about what makes us creative and how creativity transforms our lives. The result is a work of both artistic and psychological power that will inspire psychotherapists, art psychotherapists and artists themselves, and will point to exciting new possibilities in all these fields. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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Electric vehicles are an important part of governments' environmental policies, and therefore understanding the factors affecting their market share is very important. So, this research is designed to investigate the factors affecting electric vehicle adoption, considering the effects of the COVID-19 pandemic and sustainable development level. Effective factors have been investigated in three categories. One is the characteristics of electric vehicles;the other is the impact of the COVID-19 pandemic on demand for these vehicles;and finally, the impact of the level of sustainable development of countries on adopting electric vehicles. Our analysis method is based on grey econometric and grey regression methods. The results show that vehicle dimensions, battery warranty conditions, battery life, and charging facilities are effective factors in the field of vehicle characteristics that can increase the adoption of electric vehicles. Also, the analysis shows that the COVID-19 pandemic has reduced the adoption of electric vehicles. Finally, we have shown that the market share of electric vehicles is higher in countries with a higher sustainable development level because of better economic, social, and cultural infrastructures.
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In this book, eight substantive chapters examine how "developing” countries such as Bangladesh, Malaysia, and Mexico confronted the pandemic-driven online education shift. As local instruments, resources, and preferences of specific universities meshed with global platforms, ideas, and knowledge, the book addresses several questions. Was the mix too flaky to survive increasing competitiveness? Were countries capable enough to absorb mammoth software technological changes? Throwing a "developed” country (the United States) in for contrast, the book elaborates on the inequities between these countries. Some of these inequalities were economic (infrastructural provisions and accesses), others involved gender (the role of women), political (the difference between public and private universities), social (accessibility across social spectrum), and developmental (urban-rural divides). In doing so, new hypotheses on widening global gaps are highlighted in the book for further investigation. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.
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PurposeRecognising the literature of a field is vital for advancement in that field. Yet, there has not been a systematic analysis of recent publications published in the Journal of Hospitality and Tourism Insights (JHTI). Therefore, this research aims to do a bibliometric analysis of articles published in JHTI during the previous five years.Design/methodology/approachThis study used bibliometric techniques and indicators to analyse JHTI publications from 2018 to 2022. The data utilised in the study were obtained from Scopus and subsequently subjected to analysis through the Bibliometrix software.FindingsThe findings show good collaboration between the production components (country, institution and author) in JHTI. The co-occurrence analysis of keywords comprises five clusters;the co-citation analysis comprises six;and a group of articles connected with psychological aspects and areas such as motivation, attitude, customer engagement, place attachment and behavioural intention was the most remarkable cluster. Sharing economy, destination marketing, destination image and some, to an extent, social media and revenue management are just a few of the niche themes that have the potential to come up.Research limitations/implicationsThis study will be helpful as a roadmap for researchers in different fields who are interested in such studies, as well as for editorial board members and those who work in JHTI.Practical implicationsScholars and practitioners may benefit the most from this research by obtaining insight into the development of JHTI's research and the areas of the hospitality and tourism industries that need more study.Originality/valueThe current study is both necessary and valuable because it is the first to provide insight into the effectiveness and intellectual framework of the hospitality and tourism literature selected by the JHTI.
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Amid the impact of COVID-19, the public's willingness to travel has changed, which has had a fundamental impact on the ridership of urban public transport. Usually, travel willingness is mainly analyzed by questionnaire survey, but it needs to reflect the accurate psychological perception of the public entirely. Based on Weibo text data, this paper used natural language processing technology to quantify the public's willingness to travel in the post-COVID-19 era. First, web crawler technology was used to collect microblog text data, which will discuss COVID-19 and travel at the same time. Then, based on the Naive Bayes classification algorithm, travel sentiment analysis was carried out on the data, and the relationship between public travel willingness and urban public transport ridership was analyzed by Spearman correlation analysis. Finally, the LDA topic model was used to conduct content topic research on microblog text data during and after COVID-19. The results showed that the mean values of compelling travel emotion were-0.8197 and-0.0640 during and after COVID-19, respectively. The willingness of the public to travel directly affects the ridership of urban public transport. Compared with the COVID-19 period, the public's fear of travel infection in the post-COVID-19 era has significantly improved, but it still exists. The public pays more attention to the level of COVID-19 prevention and control and the length of travel time on public transport.
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PurposeWith the advent of the second wave of COVID-19 pandemic, there is a need to analyse the scenario of panic buying (PB) behaviour of the customers which was evident in the first wave. This paper aims to examine the PB scenario as well as the moderating effect of past buying experience (PBE) on PB in the second wave of the COVID-19 pandemic. Design/methodology/approachThis study is based on the theories of stimulus-organism-response model and the competitive arousal model. Based on these theories, this paper investigates how panic situation created by external stimuli such as perceived scarcity (PS), perceived risk (PR), news in media (NM) and social learning affect the perceived arousal (PA) among people which in turn influence the PB behaviour of customers. Data were collected from 253 customers from different parts of India. Structural equation modelling is used to analyse the moderating effect of PBE on the PB in the second wave of COVID-19 pandemic. FindingsThe results indicate that the PS, PR and NM continue to be strong predictors of a buyer for PA. However, the PB is not reinforced by the moderation effect of PBE. Research limitations/implicationsThis paper investigates the consumers' PB behaviours in the wake of third wave of COVID-19 pandemic which add to the existing literature of COVID-19 pandemic. Moreover, this study also examines how previous buying experience can moderate the PB behaviour of the customers in subsequent phases of COVID-19 pandemic. This supports the potential effectiveness of self-regulation as an intervention strategy for reducing PB behaviours during the COVID-19 pandemic. Practical implicationsThis study emphasises the impact of external stimuli like PS, PR and media coverage on PB behaviour, marketers and policymakers should manage to avoid triggers. Although PBE may not moderate PB during a pandemic, it can play a significant role in future buying behaviour. Anticipating potential triggers and designing effective marketing strategies that cater to customers' needs can help manage PB behaviour during disasters or pandemics. In addition, promoting conscious consumption awareness and self-regulation practices among customers can help manage PB behaviour, benefit the environment and society and make customers more responsible buyers. Originality/valueTo the best of the authors' knowledge, this study examines the PB behaviour of customers during the second wave of COVID-19 pandemic for the first time. This study also investigates the moderating effect of PBE on the PB behaviour of customers during a pandemic which is new and significant that extends the literature on PB behaviour during a pandemic.
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PurposeDespite extensive research on supply chain management (SCM), the literature lacks a perspective to empirically assess the importance of poverty alleviation in social business. Using resources dependence theory, the purpose of this study is to analyze to ascertain whether financial innovation has a powerful solution for business sustainability and, hence, poverty alleviation in developing countries. This study reviews the financial innovations offered by Dompet Dhuafa Republika in integrated supply chain management (ISCM) of smallholder livestock business through Tebar Hewan Kurban (Spreading Sacrificial Animals) program to overcome capital and marketing problems at the farmer level and distribute Qurban meat to the recipients. Design/methodology/approachThis study was conducted using descriptive qualitative method. The data were obtained through a field survey, by interviewing two crowdfunding-based investment companies, 250 partner farmers, program managers and assistants, marketing partners, donors/consumers/person who sacrifice and Mustahik (recipients of Qurban meat) involved in program implementation, using purposive sampling method. Focus group discussion was conducted with selected panelists to validate the results of the field survey. FindingsThe results of this study showed that the Tebar Hewan Kurban program provides greater benefits to farmers, while increasing the distribution of Qurban meat to be more equitable. The role of moneylenders and middlemen can also be eliminated. Donors feel satisfied because their goals are fulfilled in the Qurban ritual. Program implementers and investors also got decent returns. ISCM is very feasible to be developed on a wider scale, to improve the welfare of farmers or fishermen. Research limitations/implicationsThis study used a set of samples of the assisted areas from only one institution, which may lead to institution-specific results. Although the sample is small, the results of this study are expected to provide new insights into the implementation of the Qurban, which will provide more profits and benefits for partner farmers. In broader practice, the program flow is worth considering compared to similar programs in other institutions, in Indonesia or abroad. Because of the COVID-19 pandemic situation, the field survey and focus group discussion were carried out online. Practical implicationsThe results show that ISCM is able to increase the income of farmers. Practically, this program can be duplicated in similar institutions, as well as in government or non-government organizations, in Indonesia and abroad, that have the same context and activity. Social implicationsThis study offers several social contributions by exploring how and why ISCM can eliminate the role of moneylenders and middlemen, increasing the small farmers' income, providing reasonable profits to parties involved in marketing and satisfying donors and equitable distribution of Qurban meat. Originality/valueThis study contributes to the literature by confirming the higher impact of ISCM in social business on poverty alleviation. Therefore, this paper provides an alternative solution to increase the income of small farmers through the supply of animals for Qurban or other religious rituals through ISCM arrangements.
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The basis for developing logistics solutions in cities is to know the requirements and expectations of current and potential transport users and for decision makers to strive to meet them. In building an urban logistics strategy, it is therefore necessary to take into account different stakeholder groups. Building stakeholder relations should be aimed at involving them in the development of a sustainable transport policy for the city. It should be noted, however, that the importance of stakeholders in transport policy is diverse. This assumption was made in the paper, which aimed to identify the role of the various groups of urban logistics stakeholders in the sustainable movement of people. This challenge is subordinated to the methodology proposed in the paper, which combines the analysis of urban logistics stakeholders and the assignment of roles to them in the pursuit of sustainable flows of people in the city with the identification of tasks in which stakeholders characterized by a particular role should be involved. Achieving the stated goal required collaboration with experts. Research on the roles of stakeholders, as well as the tasks in which they should be involved, was conducted in Polish cities. Infrastructure managers, small mobility organisers, public safety organisations and public transport organisations turned out to be the development leaders who, as a result, were recommended to be included in most tasks by local government units of Polish cities. What deserves special attention in the results obtained, on the other hand, is the role of the unpredictable main player, which is other cities.
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Youth who experience premature death of a parent are positioned to experience an increase of concerning vulnerabilities than non-bereaved counterparts and the rate of parentally bereaved children has been elevated due to the COVID-19 pandemic. Qualitative strength-and U.S.-based investigations that examine present day parentally bereaved children are scarce and no identified studies consider professional insights of mental health clinicians that work with parentally bereaved youth in the country. In this study a qualitative phenomenological research design was used to obtain participant's experiences and insights on resiliency and posttraumatic growth (PTG). Licensed mental health professionals participated in semi-structured interviews and had three to 12 years of experience working with children bereaved by parental death. A deductive approach using predetermined resiliency and PTG theory-based categories was used to analyze the data. Five positive themes of resiliency, five hindering influences on resiliency, and three themes of PTG were concluded. Clinical implications support current research on resiliency and childhood grief. Major implications include grief literacy among the child's system and the role of the family. Implications of PTG include the five domains used to measure PTG, connection to peers and adults, grief education, and acknowledgement of the death. Additional implications suggested that the COVID-19 pandemic yields both positive and hindering influences on parentally bereaved child. Future research should consider the preliminary notions that arose from this study. These include research on disenfranchised grief and caregiver bereaved youth during the current health pandemic. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
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Introduction: The present study explores the reasons of those who have not been vaccinated in the later stage of the vaccine rollout in Spain and its associated determinants. Methods: Cluster and logistic regression analyses were used to assess differences in claimed reasons for vaccine hesitancy in Spain using two samples of unvaccinated people (18-40 years old) gathered by an online cross-sectional survey from social networks (n = 910) and from a representative panel (n = 963) in October-November 2021. Results: The main reasons for not being vaccinated were believing that the COVID-19 vaccines had been developed too fast, they were experimental, and they were not safe, endorsed by 68.7% participants in the social network sample and 55.4% in the panel sample. The cluster analysis classified the participants into two groups. Logistic regression showed that Cluster 2 (individuals who reported structural constraints and health-related reasons such as pregnancy or medical recommendation) presented a lower trust in information from health professionals, had a lower willingness to get vaccinated in the future, and avoided less social/family events than those in Cluster 1 (reasons centered in distrust on COVID-19 vaccines, conspiracy thoughts and complacency). Conclusions: It is important to promote information campaigns that provide reliable information and fight fake news and myths. Future vaccination intention differs in both clusters, so these results are important for developing strategies target to increase vaccination uptake for those who do not reject the COVID-19 vaccine completely.
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COVID-19 Vaccines , COVID-19 , Female , Pregnancy , Humans , Adolescent , Young Adult , Adult , Spain , Cross-Sectional Studies , COVID-19/prevention & control , Cluster AnalysisABSTRACT
Perceptions about specific seafood attributes play an essential role in American consumers' choices of a seafood entre ' e served in casual and fine dining restaurants. However, the trends and determinants of consumer per-ceptions are underexplored. This research analyzes how consumers perceive specific attributes of a seafood entre ' e and examines the effect of socioeconomic and demographic characteristics on their perceptions. Factor analysis and multivariate Tobit models were employed to analyze data collected online via Qualtrics' consumer panels in the U.S. The results indicate that the proportion of participants who deem farm-raised and sustainability-certified fish safer to eat, better tasting, higher quality, more fairly traded, and more environ-mentally friendly is the highest. However, the difference in perceptions of domestic and imported fish is ambiguous. The perceptions of nutritional value for human consumption are near neutral among these seafood attributes. The main determinants of these perceptions are the frequency they eat fish, whether having children in a household, gender, ethnicity, and the age of consumers. These perceptions and determinants are relatively consistent before and during Covid-19. This study contributes to the literature on seafood perceptions at casual and fine dining restaurants and provides the most recent trend on American seafood perceptions and their de-terminants. These results are beneficial to seafood producers, distributors, and policymakers for providing more appropriate regulations related to future seafood supply in the U.S.
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Monitoring behavioral and cultural insights during the pandemic is a useful tool to identify factors related to COVID-19 vaccine acceptance and confront the pandemic's vast impact. Data were collected using a questionnaire designed according to the "survey tool and guidance" provided by the World Health Organization (WHO). Surveys were conducted by a market research company for five consecutive months, with a sample of 1000 individuals recruited per survey. Vaccination acceptance increased from 55.2% to 67.2%, while the percentage of undecisive individuals decreased from 16.3% to 10.6%. The proportion of vaccine resistant participants remained relatively steady (25−30%). Knowledge about the pandemic and compliance with preventive measures was high (>90%). Factors associated with vaccination included: Increased age, male gender, influenza vaccination, following authorities' recommendations, being informed by HCWs or formal information sources, care for others, concern about the country's economic recession and health system overload. Pandemic fatigue was reflected across the surveys, indicated by a decrease in the intention to self-isolate and remain at home when ill. Despite the decrease of undecisive individuals, a firm core of vaccine resistant individuals may be responsible for the relatively lower vaccine coverage compared to northern EU countries. Study results could be useful for developing approaches tailored to a reluctant population.
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COVID-19 , Vaccines , Humans , Male , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines/therapeutic use , Pandemics/prevention & control , Greece/epidemiology , VaccinationABSTRACT
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic dramatically impacted the delivery of hospital care in terms of quality and safety. OBJECTIVES: To examine complaints from two time points, quarter 4 (Q4) 2019 (pre-pandemic) and Q4 2020 (second wave), and explore whether there was a difference in the frequency and/or content of complaints. METHODS: A retrospective analysis of complaints from one Irish hospital was conducted using the Healthcare Complaints Analysis Tool (HCAT). Within each complaint, the content, severity, harm reported by the patient, and stage of care were categorised. The complaints were analysed using descriptive statistics and chi-square tests of independence. RESULTS: There were 146 complaints received in Q4 2019 and 114 in Q4 2020. Complaint severity was significantly higher in Q4 2019 as compared to Q4 2020. However, there were no other significant differences. Institutional processes (e.g. staffing, resources) were the most common reason for complaints (30% in Q4 2019 and 36% in Q4 2020). The majority of complaints were concerned with care on the ward (23% in Q4 2019 and 31% in Q4 2020). CONCLUSIONS: The severity of complaints was significantly higher in Q4 2019 than in Q4 2020, which requires further exploration as the reasons for this are unclear. The lack of a difference in the frequency and content of complaints during the two time periods was unexpected. However, this may be linked to a number of factors, including public support for the healthcare system, existing system-level issues in the hospital, or indeed increased staff collaboration in the context of the COVID-19 crisis.
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Natural and artificially prepared nanorods' surfaces have proved to have good bactericidal effect and self-cleaning property. In order to investigate whether nanorods can kill the enveloped virus, like destroying bacterial cell, we study the interaction between nanorods and virus envelope by establishing the models of nanorods with different sizes as well as the planar membrane and vesicle under the Dry Martini force field of molecular dynamics simulation. The results show that owing to the van der Waals attraction between nanorods and the tail hydrocarbon chain groups of phospholipid molecules, the phospholipid molecules on virus envelope are adsorbed to nanorods on a large scale. This process will increase the surface tension of lipid membrane and reduce the order of lipid molecules, resulting in irreparable damage to planar lipid membrane. Nanorods with different diameters have different effects on vesicle envelope, the larger the diameter of nanorod, the weaker the van der Waals effect on the unit cross-sectional area is and the smaller the degree of vesicle deformation. There is synergy between the nanorods in the nanorod array, which can enhance the speed and scale of lipid adsorption. The vesicle adsorbed in the array are difficult to desorb, and even if desorbed, vesicle will be seriously damaged. The deformation rate of the vesicle adsorbed in the nanorod array exceeds 100%, implying that the nanorod array has a strong destructive effect on the vesicle. This preliminarily proves the feasibility of nanorod array on a surface against enveloped virus, and provides a reference for the design of corresponding nanorods surface.
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The pandemic arising from the 2019 coronavirus disease has significantly affected all facets of human life across the world, including economies and transportation systems, thereby changing people's travel behaviors. This research was aimed at exploring the relationship between socio-economic factors and e-scooter trip durations before and during the pandemic. We developed a hazard-based duration approach and estimated multiple spatial and non-spatial models on the basis of 2019 and 2020 dockless e-scooter data collected from the City of Austin's Open Data Portal. The results indicated an overall increase in e-scooter trip durations after the pandemic. Moreover, analysis of variables revealed potential changes in users' behavior before and during the pandemic. In particular, whereas e-scooter trip durations were found to be positively associated with aggregate travel time to work before the pandemic, this trend was reversed during the pandemic. In addition, during the pandemic, e-scooter travel time was positively correlated with the ratio of individuals with bachelor's degrees or greater to those with associate degrees or lower. However, no specific pattern was observed before the pandemic. Lastly, the results showed the presence of disparities within the study area;therefore, it is vital to extend e-scooter service areas to cover underserved communities.
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This Innovate Practice Full Paper discusses how many STEM professionals across all intersections have voiced the advantages of remote work. The preference of virtual work amongst professionals can vary for a lot of reasons such as being able to work and perform the role as a caretaker. COVID-19 has also proven that many professionals have been able to be perform just as well if not better while working from home. Professionals have been able to have more autonomy over their daily lives to organize their work and space. As most are aware, during this health crisis there has been a heightened exposure of racism and other intolerances across the country and globally. Social media has also been a tool to expand people's understanding of these injustices. For the Black community it has been a time to retreat, reclaim space, and take care of their selves, family, and communities through a variety of resistance tactics. Many have taken up to do the work to become (or becoming) allies. It is imperative to understand how remote work has been beneficial for Black professionals in engineering and computing fields as it relates to mitigating racism and any other forms of oppression. This could range from how virtual interviews worked to their advantage in landing positions to having their own space to work from without having to navigate micro and macro aggressions in-person. This paper will explore this phenomenon by gaining insight on the experiences of Black engineering and computing professionals in virtual settings through informal interviews and/or small focus groups. This study could potentially inform how remote work can be viewed as a tool for organizations to further support marginalized communities' needs for obtaining safe spaces in engineering and computing hegemonic cultures;as well as further inform research on how organizations can implement safe spaces for marginalized people in their policies through entities like remote work. © 2022 IEEE.
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PurposeFake news on social media about COVID-19 pandemic and its associated issues (e.g. lockdown) caused public panic that lead to supply chain (SC) disruptions, which eventually affect firm performance. The purpose of this study is to understand how social media fake news effects firm performance, and how to mitigate such effects.Design/methodology/approachGrounded on dynamic capability view (DCV), this study suggests that social media fake news effects firm performance via SC disruption (SCD) and SC resilience (SCR). Moreover, the relation between SCD and SCR is contingent upon SC learning (SCL) - a moderated mediation effect. To validate this complex model, the authors suggest effectiveness of using partial least squares structural equation modeling (PLS-SEM). Using an online survey, the results support the authors' hypotheses.FindingsThe results suggest that social media fake news does not affect firm performance directly. However, the authors' serial mediation test confirms that SCD and SCR sequentially mediate the relationship between social media fake news and firm performance. In addition, a moderated serial mediation test confirms that a higher level of SCL strengthens the SCD-SCR relationship.Research limitations/implicationsThis work offers a new theoretical and managerial perspective to understand the effect of fake news on firm performance, in the context of crises, e.g. COVID-19. In addition, this study offers the advancement of PLS as more robust for real-world applications and more advantageous when models are complex.Originality/valuePrior studies in the SC and marketing domain suggest different effects of social media fake news on consumer behavior (e.g. panic buying) and SCD, respectively. This current study is a unique effort that investigates the ultimate effect of fake news on firm performance with complex causal relationships via SCD, SCR and SCL.
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The COVID-19 pandemic has highlighted many challenges undergraduate students face including their ability to manage stress. Poor stress management can contribute to poor academic performance and health outcomes;better wellness habits and stress reduction go hand-in-hand, as improved wellness habits reduce overall stress and expand positive stress management strategies. This article describes the design of a short wellness intervention for STEM classes and its evaluation after implementation in five chemistry and biology courses that span the four years of a biochemistry degree. This intervention, composed of a short, in-class presentation and an associated supplemental resource handout, presents students with information on five wellness areas: sleep, nutrition, water intake, exercise, and meditation and mindfulness. Students were surveyed at three points (once preintervention and twice postintervention) in one semester and asked to report their perceived stress, current wellness habits, and overall perception of the intervention. Notably, the majority of students (89%) thought the intervention should be included in other courses. The importance of completing the intervention in class was underscored by the small number of students (19%) who reported accessing the additional resources provided outside of class. Student wellness habits did not dramatically shift postintervention, but this study garnered insights into the barriers students face when attempting to change their wellness behavior. Overwhelmingly students reported that academic workload was the dominant factor hindering positive wellness change. The intervention materials, including a suggested script, are shared, and data-supported recommendations for implementation in other courses and institutions are provided.
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The previous eight chapters have been in preparation of this chapter. One of the main goals of this book is to show the reader how the advancement of lung CT AI over the past 45 years has made it possible to provide lung CT AI technologies in the current clinical medical imaging environment. This chapter will first describe the current information technologies (IT) that are in use in modern healthcare hospitals and clinics to support the acquisition, storage, and distribution of medical imaging studies including x-ray CT studies of the thorax, and how imaging IT interacts with the larger healthcare IT that supports the patient's electronic medical record (EMR). Then we will discuss the lung CT AI technology currently available within the imaging IT ecosystem to automatically assess lung CT images for quantitative metrics of lung disease. Specifically, we will discuss VIDA Insights v3.0 Density/tMPR module and Texture/Subpleural View module that use reactive machine AI and limited-memory AI methods to analyze each lung and lobe of a chest CT scan for the following quantitative CT metrics: volume in liters, LAA−950 metric for emphysema, HAA−700 to −250 metric for COVID-19 pneumonia and ILD, and the texture patterns that make up the HAA−700 to −250 that include ground-glass/reticular opacities, consolidation, and honeycombing. The importance of responsible AI will be discussed along with guidelines to achieve responsible lung CT AI.
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Pattern and Group behavior of COVID-19 patient's data is very much important aspect of data analysis for medical stakeholders to frame decision strategies and to design routine set-ups. PCA is old mathematical machine learning grouping analysis technique but popular in recently for data analysis in grouping insights, so the researcher has implemented principal component analysis to study dominance in data with varied component grouping with proportional variation and also used graphical visualizations. The strength of PCA implementation is to maintain real valued data with dimension reduction but without loss of key information. The experiment result of COVID-19 datais showing component 1 contributing to highly positive testResult that is having High impact on patients. PCA shows relative dimensions analysis. PCA dimensions plotted shows independence in dimension with 900 angle dimensions in data spread. The results identified for COVID-19 data glimpse with dominant component formation. Copyright © 2022 Ubiquity Press. All rights reserved.