Impact of Brand and Change in Habits of Customers Due to Coronavirus in the Home Appliance Industry of India

The Home Appliance industry is going through an unpredictable situation due to corona virus. Customers' preferences are also changing from time to time. Authors have discussed various variables and their impact on the consumer purchasing decision and revealed how much brand influences the consumer compared to other factors while purchasing appliance products. Corona virus outbreak is continuously hitting the Indian economy and directly impacting the Appliance Industry. This research work also aims to address the change in consumer habits before and after corona virus. The convenience sampling method is used in this research to collect the sample data. The help of Quantitative methods does interpretation of research. From the end of December 2019, the COVID-19 pandemic began to spread around the world. Its spread harmed all sectors of the world, posing a new challenge to the Indian entrepreneurship ecosystem. It had an impact on the enterprise's viability and growth. Entrepreneurs must deal with social isolation, working from home, travel restrictions, and a lockdown to prevent the corona virus spread. Some businesses have had to close temporarily, while others have had to conduct small-scale operations. As a result, innovators must be visible in all aspects of entrepreneurial endeavors. This epidemic's carriers must be defeated. Businesses must find ways to survive and thrive.

Global perspective of cardiac rehabilitation in Post COVID patients

The long-standing style of care known as cardiac rehabilitation (CR) may have been created to lessen the significant burden of cardiovascular diseases (CVD) on people all over the world. In Post COVID era, maintenance of cardiac health in COVID affected patients has been received much attention. Cardiac rehabilitation (CR) may be a sophisticated intervention with multiple components which can provide support in developing health cardiovascular system. The calibre of CR services can vary greatly and have an impact on the extent of patient benefit. The research has demonstrated that cardiac rehabilitation improves quality of life and reduces clinical psychological distress (DSM sadness and anxiety) (QoL). Subclinical discomfort and psychological well-being also demonstrated pertinent clinical implications in cardiac situations. Cardiac rehabilitation could also be an economical. According to studies, the benefits of CR are effective for patients with a variety of cardiac conditions, such as those who have undergone myocardial infarction (MI), coronary artery bypass surgery, stable angina, stable chronic heart failure, heart valve replacement, percutaneous coronary treatments, heart transplantation, cardiac arrhythmias, or severe arterial hypertension. As CR, and in several contexts "pre-habilitation," are in increased demand, a chronic disability management programme is being given more commonly in home and community settings. As a result of the COVID-19 pandemic's new requirements, the employment of distant, personalised solutions within this delivery paradigm is currently changing.

SARS COV-2 is constantly mutating: A never-ending surge causing threat to mankind

Coronaviruses has been spreading across the planet for more than two years now. Emerging new competent variants makes the surge never ending. With over thirty crore cases as on first week of January 2022 this virus has caused serious havoc to humanity. Due to evolutionary selection, new variants become predominant. These new variants are associated with higher transmissibility, increased severity, re infection, immune and diagnostic escapes. It has been prescribed that emergence of herd immunity either achieved by vaccination or by natural infection will be the game changer. Nonetheless COVID appropriate behavior has to be strictly followed. We take the opportunity to describe the variants which created and are still creating havoc all along the world.

Inflammatory Marker Variations in Predicting Deaths in COVID-19

Introduction. Patients with coronavirus illness experienced a cytokine storm as a major cause of morbidity and mortality in 2019. (COVID-19). The goal of the study was to ascertain the predictive value of pro-inflammatory cytokines with regard to the overall prognosis of COVID-19 patients. Methods. This study was conducted by the Department of Microbiology, Santosh Medical College & Hospital, Ghaziabad, Uttar Pradesh from April to July 2021. We followed 189 patients hospitalized for suspected or confirmed COVID-19 from the day of hospitalization to the day of discharge or death. We measured serum IL-6, CRP, D - Dimer, Ferritin levels upon admission and correlated these results with clinical and laboratory markers of disease severity and with disease outcome. Results. Most of the patients were males and greater than 60 years of age. The mean ferritin level prior to the terminal event (survival or death) among non-survivors was 746 ng/mL as compared to 294 ng/mL among survivors and this difference was statistically significant (p-value <0.05). A decrease in ferritin levels prior to the terminal event (survival or death) and at admission were associated with a greater probability of survival. Ferritin levels prior to the terminal event were more strongly correlated with death than ferritin levels at baseline. Mean CRP level at admission among non-survivors was 69 mg/L as compared to 283 mg/L among survivors and this difference was not statistically significant (p >0.05). Conclusion. In patients with COVID-19, inflammatory markers have prognostic value, with higher levels being associated with worse outcomes.

A study on prevalence of anxiety during the pandemic and post pandemic of covid-19 among adult population of district Ghaziabad, Uttar Pradesh

Background: COVID-19 pandemic started in India on 30th January 2020. A nationwide lockdown was enforced from 24th March 2020 and general population was confined to their homes causing many psychological problems. Objective: To find the prevalence of anxiety during the pandemic and post pandemic of COVID-19 among adult population of Ghaziabad city. Methods: A community based cross-sectional study, conducted among the adult population of urban Ghaziabad, Uttar Pradesh, India. Information was collected using a predesigned questionnaire with a sample size of 396 consenting individuals during the pandemic and 364 post the pandemic. Results: During the pandemic, one-fifth of the study participants (20.9%) suffered from anxiety with 55 (13.88%) of the subjects suffering from mild anxiety, 19 (4.80%) having moderate and 9 (2.27%) having severe anxiety. Whereas, post pandemic only 24 (7.41%) of the subjects suffered from anxiety with 13 (3.57%) having mild anxiety, 11 (3.02%) having moderate and a mere 2 (0.55%) suffering from severe anxiety. There was a significant association between history of contact with a COVID-19 patient and anxiety levels before and after the pandemic (p= 0.023). Conclusion: The COVID-19 pandemic has had a major mental health impact. Identifying easily susceptible individuals is thus, important as it will help prevent the short and long term negative consequences due to anxiety both in India as well as internationally.

Multifactorial utility of vitamins in treatment of covid - 19

The pathogenesis of the SARS-CoV-2 virus responsible for COVID-19 disease is ever unravelling. Researchers are continuously generating evidence regarding the mechanism of the infection and its complications. There is also an attempt to understand the role of various biomolecules in preventing or treating COVID-19 disease and its complications. Trials show that Vitamin D decreases the rate of admission in ICU. Vitamin C is known to exert the positive influence in decreasing the intensity of viral infections and severe sepsis. Vitamin B12 plays a pivotal role in gut microbiome management. Dietary supplementation of micronutrients with defined roles in immune function can streamline the balance of the body's immune reaction, lessening the incidence of infections and ICU hospital stay. The focus of this review is to apply our modern knowledge of vitamin D, B12 and C as micronutrients & facilitator of immune competence. We suggest that vitamins D, B12 and C may serve as attenuators to COVID-19 symptoms. Large randomized trials are required to confirm this hypothesis.

Physico-chemical parameters of mixed saliva and their correction in patients in the post-covid period

In patients in the post-COVID period, there is a decrease in the functional activity of the salivary glands. In general, in patients who underwent COVID-19, basal secretion was reduced by 19.51% (P <= 0,05);secretion stimulated by chewing - by 31.67% (P <= 0.01) and secretion stimulated by acid - by 29.60% (P <= 0.01). In this study, the physicochemical parameters of mixed saliva and the effectiveness of their complex therapy in patients in the post-COVID period were evaluated. In patients who have undergone COVID-19, a decrease in the rate of salivation, an increase in rheological properties (surface tension and viscosity), and a decrease in the buffering capacity of saliva are recorded. The established pathological changes in the composition and properties of the oral fluid are the cause of the deterioration of the dental status in this group of patients. It has been proven that the use of vitamin C and zinc in the form of zinc gluconate increases the rate of salivation, normalizes the rheological properties and buffering capacity of saliva.

Level of satisfaction on online teaching method among undergraduate students - A Descriptive Cross-sectional study

Introduction: Formal education is the smooth pathway for learning, or gaining of knowledge, skills and values in a controlled atmosphere with the avowed goal of instructing students. The deadly infectious disease COVID-19 had a significant impact on the global economy and education sector forced many schools and colleges to remain closed temporarily. So, many colleges and universities have begun to offer online courses as a viable alternative to traditional face-to-face instruction. Nearly 30% of students were taking a course online with 21% growth rate for online enrollment of the overall higher education student population. Aim and Objective: The aim of the study is to assess the level of satisfaction on online teaching method among undergraduate students with their selected demographic variables. Methodology: The study was a descriptive cross-sectional study conducted with 100 undergraduate students selected by using purposive sampling technique. Satisfaction level was assessed by using self-structured Student's satisfaction scale. Results: 1(1%) of the student was dissatisfied, 1 (1%) of the student was moderately dissatisfied, 67 (67%) of the students were moderately satisfied and 31 (31%) of the students were satisfied with online method of teaching. The overall mean score on level of satisfaction online teaching method was 74.72 +/- 11.14. Conclusion: Domains such as teaching strategies, student involvement and learning outcome are critical for educational management to achieve higher levels of satisfaction and performance for online courses among students.

Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Support Vector Machine over Neural Network algorithm with Improved Accuracy

Aim: The primary purpose of this study is to improve the accuracy of COVID-19 prediction and evaluation. Materials and Methods: This project is based on data extracted from Kaggle's website, which is separated into two categories. According to the total sample size estimated by clinical.com, each group comprises 20 samples (N=20) for both the Support Vector Machine (SVM) and Neural Network methods, by keeping 0.05 alpha error-threshold, 95% confidence interval, enrolment ratio at 0:1, and G power at 80%. In MatLab 2021a, this entails training the data and verifying 20 validations ranging from 5 to 24. Results: The SPSS Software and Independent sample T-test are used to contrast the accuracy, sensitivity, and precision rates. The Neural Network has 94.55 percent accuracy (P<0.001), 93.11 percent sensitivity (P<0.001), and 95.31 percent precision (P<0.001), compared to 91.25 percent accuracy (P<0.001), 93.93 percent sensitivity (P<0.001), and 86.11 percent precision (P<0.001) for the SVM. Conclusion: The Neural Network algorithm outperforms the SVM approach in terms of results.

Analysis and Comparison for Innovative Prediction of COVID-19 using Logistic Regression Algorithm over the Decision Tree Algorithm with Improved Accuracy

Aim: The major goal of this research is to increase the accuracy of innovation prediction and examine the COVID-19. Materials and Method: This study relied on data collected from Kaggle's website and samples are divided into two groups, GROUP 1 (N=20) for Logistic regression and GROUP 2 (N=20) for Decision tree in accordance with the total sample size calculated using clinical.com by keeping 0.05 alpha error-threshold, 95% confidence interval, enrolment ratio as 0:1, and G power at 80%. It involves the software implementation program in MatLab 2021a validating with 20 validations. Results: The accuracy, sensitivity, and precision rates are compared using SPSS software and an Independent sample T-Test. In comparison the Logistic regression 95.98% accuracy with P=0.001, (p<0.05), 94.65% sensitivity (with P=0.001, (p<0.05) and 96.20% precision with P=0.001, (p<0.05) produces a superior outcome than the Decision tree 93.91% accuracy with P=0.001, (p<0.05), 94.33% sensitivity with P=0.001, (p<0.05), 92.00% precision with P=0.001, (p<0.05). Conclusion: The Logistic regression algorithm produces better results compared to the Decision tree.

Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Decision Tree Algorithm over the Support Vector Machine Algorithm with Improved Accuracy

Aim: The primary goal of this research is to increase the accuracy of COVID-19 prediction and its analysis. Materials and Method: This study relied on data collected from Kaggle's website and samples are divided into two groups, GROUP 1 (N=20) for the Decision tree and GROUP 2 (N=20) for the Support Vector Machine (SVM) in accordance with the total sample size calculated using clinical.com by keeping alpha error-threshold value 0.05, 95% confidence interval, enrolment ratio as 0:1, and G power at 80%. It involves the software implementation program in MatLab 2021a validating with 20 validations. Results: The accuracy, sensitivity, and precision rates are compared using Statistical Package for the Social Sciences (SPSS) software and an Independent sample T-Test. In comparison to the two, the Decision tree 93.91% accuracy, 94.33% sensitivity, 92% precision with P=0.001 ((p<0.05) produces a superior outcome to the Support Vector Machine 91.25% accuracy, 93.93% sensitivity, 86.11% precision (P<0.001)). Conclusion: The decision tree algorithm produces better results compared to the Support Vector Machine.

Pandemics and Their Business Impacts: A Global Perspective

In the long and medium term, the evolution of pandemics and the resulting harm to the global economy have been alarming. Pandemics have a variety of detrimental effects on the economy. They impact families, companies, and the government by reducing labor supply, worker productivity, and population income, increasing company expenditures and public healthcare infrastructure costs. This research aims to examine and organize the present body of knowledge in the field of pandemics and their economic effect. With the help of a systematic literature review and bibliometric analysis, the study presents the status and development in this area of research. All business sectors, including supply chain, logistics, travel & tourism, entertainment, recreation and fitness, hospitality, have been negatively impacted worldwide. The paper contributes to the existing state of literature by examining the impact of significant pandemics on various business activities around the globe. However, there is a surge in telecommunication, including data providers and e-commerce businesses.

Factors Influencing Customer Grocery Shopping Behaviour Amid Covid-19 Pandemic

Purpose: The paper attempts to understand and analyze the factors that influence different types of end consumer's behavior while shopping for groceries both online and offline, considering the Covid-19 pandemic situations. Design/ Method/ Approach: A sample size of 145 members of age varying from 18 to 60 were surveyed through a digital form of a questionnaire. Few factors which generally impact the customer's shopping behavior were categorized into six different factors: Purchase, Personal, Behavioral, Operational, Customer Engagement, and Pandemic factors. The respondents were asked to rank the elements according to their preferences. Findings: Factors like Quality of the Product, Hygiene practices followed by the delivery person, representation of products on website/application, Accessibility and Availability of the products were given priority amid pandemic, over other factors which influence customers shopping behavior. We have also found that FMCG advertisements that promise hygiene and safety during product delivery convinced the respondents, convinced the respondents. Practical Implications: The study gives an understanding of the factors influencing the retail customers amid the pandemic. This study can develop marketing strategies to target the middle-class and age group of 18-45.Originality/ Value: Factors influencing the customer's decision to buy groceries online amid the Covid-19 pandemic induced consumer shopping behavior and preferences. Furthermore, the results show how the respondents were affected by the Hygiene promotions made by FMCG companies during the lockdown.

Covid-19: throttling the fear and embracing the science of prevention

Covid-19 is creating a flurry of fear and stigma across the globe. The individual fear is of discrimination at isolation centers, fears of dying alone with no funeral as per rituals. The mass fear is fueled by social and news media through negative news, disseminating medical knowledge, and confusing multiple mathematical projection models. Hence, firstly need to impede this pandemic of fear and stigma. Equally vital is to embrace the science of prevention by stringently following WHOguidelines. The general population should not fall prey to non-scientific news on social media. There should be restricted, systematic, and timely dissemination of medical knowledge to the medical fraternity. Identify limited expert spokesperson to present factual positive data and strategies of prevention. Disengaging politics and conflicts of commercial interests and educating the population for social changes and norms are required to control the pandemic. Increased GDP allocation to the health sector;Population Control, Improved Literacy rates are other long-term measures.

Work-Life Balance Among the IT Professionals During Covid-19

Work-life balance is highly desirable and involves maintaining equilibrium between professional and personal work. With the onset of a novel coronavirus pandemic, the workforce has seen unprecedented changes. Instead of the COVID-19 pandemic, the Government of India implemented a nationwide lockdown and several isolation policies. IT industry has seen a massive increase in work from home policy. Many companies permanently shift working patterns to embrace remote working. Because of this lockdown, many employees working in this sector have experienced psychological distress. With companies expecting their employees to perform with the same productivity, worklife balance has taken a toll. It becomes imperative to identify the factors that most influence the balance. The responses are collected from employees across the IT industry in various regions of India. Factor analysis is employed to identify the most and least important factors that affect work-life balance during COVID-19 lockdown.

Impact On Climate Due to Suspension of Passenger Flights as A Covid-19 Preventive M

Aviation has been a sector that has heavily contributed towards easing lives, addressing transportation needs, and paving the way for new job roles. Since the invention of aircraft, its usage has increased dramatically, which has caused a rampant surge in the frequency of flying. Ever since industrialization, pollution and its harmful effects on the environment have been a pressing issue. Due to this, the airline industry has continuously taken initiatives to protect the atmosphere without disturbing the frequency of flying. Initiatives including better aircraft design, fuel efficiency, optimized routes, restrictions on flight cargo, etc., have been constantly adapted and experimented with to reduce aircrafts' carbon footprint. Recently, flights had to be suspended on a large scale to avoid coronavirus spread and promote social distancing. Initially, foreign flights were banned from entering Indian soil. The ban was soon extended to domestic travel. This paper focuses on the impact of this preventive measure on the environment. The report follows a systematic approach by analyzing the environmental conditions before and after the suspension of flights in India and checks for significant changes in critical ecological health indicators. The purpose of this paper is to analyze and document the impact of this measure and highlight its benefits, thereby aiding to take novel initiatives at corporate and at government levels to ensure a sustainable future.

COVID-19 Impacts On Indian Economy And Technology

The world witnessed the biggest pandemic in almost 100 years, the impact of which is felt in all walks of life. It will be early days to predict too many things. But it is essential to foresee the economic impact of COVID-19. In India, which was already in economic turmoil, it remains to be seen how this new blow will affect the economic cycle. The paper attempts to do this in various sectors like agriculture, tourism, and industrial sectors. Secondary data is reviewed for the study. The paper also discusses innovations in this reference, and it also discusses the steps that the country is taking to sustain this situation. It uses estimation techniques for predicting the economic impact in the various sectors. The paper identifies and analyses the various factors that led to the significant disturbance of farming systems and the agricultural sector as a whole following the lockout, using quantitative and qualitative sources of knowledge with an emphasis on the Indian state of Uttar Pradesh, including expert elicitation and a farmer survey. Our research found that a shortage of migrant labor in some regions and a surplus of jobs in others had a significant impact on the April crop, resulting in a decrease in agricultural wages in some communities and an increase in others, as well as significant production losses.

Impact of COVID-19 on Sports Industry

Objectives: To find the impact of COVID-19 on the sports industry and how the industry will adapt to the changes. Methodology: Secondary data was collected from several websites related to various sports' revenues, broadcasting, and sponsorships. Primary data was collected in the form of public opinion to analyze the change in the coming years. A qualitative method was used for the analysis. Findings: After analyzing the data following results are indicated concerning the changes in the sports industry: a) Sports industry is set to take a massive loss in terms of revenue, b) The public would not attend any sports event until early next year or until a vaccine is developed, whichever is the earliest. Limitations: The limitations of the research could be the revenue data which is likely to change with the resumption of sporting activities. Public opinion might vary as the situation improves, and the idea will differ from one country to another. Application: The study will be helpful for all sports enthusiasts as they would get to know the overall industry scenario and for students who would want to explore the sports industry from the outside.

COVID-19 impact on Global Network Performance

The outbreak of the Covid-19 pandemic has created a profound impact on every sector of our life. The most significant effect of this global pandemic is "global lockdown.>> The lockdown has brought many changes in our lifestyle. One of the substantial changes in the usage of network connectivity. Many people have started to work from home, the number of online learning other uses like the OTT, social media, etc., have increased. It's observed that internet traffic has significantly increased by 25%-30%. In this paper, the authors have analyzed the global network connectivity performance concerning the changes in usage. They examined various service providers' or companies' feedback to these unprecedented conditions. The authors used secondary research methodology for quantitative analysis to understand the increase in usage. Also, this pandemic is opening up new opportunities for the service provider as this pandemic is accelerating remote working, so the service provider is going for more and more automation which reduces the field headcount and the cost. Also, operators have started to offer new collaboration apps, video conferencing tools, and learning platforms which open up new business opportunities. Many new businesses have begun to transform their business in digital, which also opens up a unique opportunity.