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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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Purpose: This study aims to conduct a systematic literature review to investigate the mental health problems during COVID-19 and the role of nutrition in minimizing mental and health-related issues during COVID-19. Design/methodology/approach: A literature search was done electronically on April–May 2022 in the databases Google Scholar, PubMed and Cochrane Library, reviewing all the articles published in English. There were no limitations for the study (such as study design, region or any time frame). The quality assessment was done. The beginning database search picked out a total of 654 articles, 47 in PubMed, 575 in Google Scholar, 22 in Cochrane Library and 10 records from other sources. A total of 565 (duplicates found 89) were found after removing the duplicated articles, after reading the title and s were further decreased to 88 full-text articles. These 88 studies went for full-text analysis, which excluded 56 studies and generated a final 32 articles for systemic analysis. The quality of the included study for the systematic review was assessed in two ways: one is evidence-based and another one on the JBI checklist. Findings: People in social isolation and home quarantine suffer from severe anxiety, stress, depression, loneliness, anger and panic attack. During COVID-19, the vital role of diet and nutrients in mental health has been acknowledged and helps mitigate COVID-19 infection. Many studies showed stress and anxiety due to increased unhealthy eating and lifestyle practices. Originality/value: This review will explain the interlink between diet and mental health because what we eat and think is interconnected with the gut–brain axis. The dietary elements and psychobiotic help in improving the immune system and psychological distress during the pandemic. This paper describes the role of different nutrients, psychobiotics and phytochemicals, to minimize mental and health issues during the COVID-19 pandemic. This paper also contains a balanced diet plan to withstand COVID-19. © 2023, Emerald Publishing Limited.
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Digital technologies in the present day have witnessed phenomenal growth in the field of marketing and advertising of products. The online shopping is a relatively growing phenomenon, which is attracting a lot of attention in the present Covid-19 pandemic period. The influence of social networking sites (SNS) is being so widely discussed around the world and a number of studies have been on the use of SNS among consumers in India. Many grocery shoppers are concerned about exposing themselves to Covid-19 by going to stores and have chosen to buy groceries online by either stepping up the online delivery service or pickup services, or by trying for the first time.Several studies have primarily discussed how businesses communicate with consumers, but the gap in the study is whether social media can actually change consumers' knowledge of brands.The aim of this study is to analyze factors that influence the customer in adapting to social networks in order to increase brand awareness and intention to purchase food products online. The paper also examines the mediating role of brand awareness to the relationship of SNS and intention to purchase. © 2023 Academy of Taiwan Information Systems Research. All rights reserved.
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According to the World Health Organization (WHO), Pneumonia, COVID-19, Tuberculosis, and Pneumothorax are the leading death causes in the world. Coughing, sneezing, fever, and shortness of breath are common symptoms. To detect them, several tests such as molecular tests (RT-PCR), antigen tests, Monteux tuberculin skin test (TST), and complete blood count (CBC) tests are needed. But these are time-consuming processes and have an error rate of 20% and a sensitivity of 80%. So, radiographic tests like computed tomography (CT) and an X-ray are used to identify lung diseases with the help of a physician. But the risk of these lung diseases' diagnoses overlapping features in chest radiographs is a worry with chest X-ray or CT-scan images. To accurately classify one of four diseases with healthy images demands the automation of such a process. There is no method for identifying and categorizing these lung diseases. As a result, we were encouraged to use eight pre-trained convolutional neural networks (CNN) to classify various lung diseases into COVID-19, pneumonia, pneumothorax, tuberculosis, and normal images from the chest X-ray image dataset. This classification process is divided into two phases. In the training phase, the CNNs are trained with the Adam optimizer with a maximum epoch of 30 and a mini-batch size of 32. In the classification phase, these trained networks are used to classify diseases. In both phases, the dataset is color preprocessed, resized, and undergoes data augmentation. For this, we used eight pre-trained CNNs: Alexnet,Darknet-19, Darknet-53, Densenet-201, Googlenet, InceptionResnetV2, MobilenetV2, and Resnet-18. Finally, we concluded that the best one to classify these diseases. Among these networks, Densenet-201, achieved the highest accuracy of 97.2%, 94.28% of sensitivity, and 97.92% of specificity for K=5. For K=10, it achieved 97.49% of accuracy, 95.57% of sensitivity, and 97.96% of specificity and for K=15, achieved 97.01% of accuracy, 96.71% of sensitivity, and 97.17% of specificity. Hence, the proposed method outperformed the existing state-of-the-art methods. Finally, our proposed research could aid clinicians in making quick conclusions concerning lung problems so that treatment can proceed. © 2022 Elsevier Ltd
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Face masks have become a crucial part of our everyday lives as the number of COVID cases around the world has increased, and new varieties appear every few months. We must wear a mask every time we walk outside, so the installation of face mask detectors in public places has become quite significant. In this study, we use image processing to create a face mask detection system on cascading multiple architectures of convolutional neural networks (CNN) and deep neural networks (DNN), with investigate the findings using MobileNetV2, Xception and ResNet152V2 models. The proposed technique was able to obtain excellent accuracy by training the system with CNN and DNN architectures. © 2022 IEEE.
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The Covid-19 pandemic has impacted the economic activities of the tourism sector ever since the global pandemic was announced in March 2020 by the World Health Organization. This paper examines research articles specifically relating to tourism and Covid-19 from the announcement of the pandemic by conducting a bibliometric analysis to extract the research focus and areas of interest for the tourism sector during the nascent phase pandemic. It also examines the main authors, highest number of publications and co-occurrences of keywords to bring out themes of the research articles. It uses VOSviewer analysis to evaluate the data in the form of a cluster analysis. A total of 542 authors were identified in the 178 articles published in 7 tourism journals. The results of the study find a cluster of keywords in the form of business, intentions, employee and destinations that are correlated in tourism and Covid-19 studies. Themes such as trust, innovation, employee welfare, psychological faculties, conflicts, anxiety during pandemic and ways to meet the possible hurdles in post-Covid are found to be predominantly studied and most of the articles were published in 2021. Despite the limited time frame of the study, the results are relevant to understanding the negative impact of the pandemic on the tourism industry. © 2022, Thammasat University. All rights reserved.
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The COVID-19 pandemic has dramatically changed the education sector, which led to a rise in online learning. E-learning has exponentially increased and it has become difficult to conduct exams offline too. Need for online education and conducting online exams has led various institutes and educational sectors to develop a platform where exams can be proctored. The ability to proctor online examinations more effectively has become a crucial factor in the education sector. Presently, human proctoring is the most common approach of evaluation, by monitoring them during exams via a webcam. It has become challenging for supervisors/teachers to examine and conduct online exams. In addition to that, studies say that there has been a significant rise in cheating during online exams. The main objective of the project is to conduct honest, faithful examination by developing an AI based online proctoring system which will help teachers to check the examinee's authenticity, eliminate suspicious behaviour during the exam and keep track of students throughout the exam time. In addition to that, conducting smooth and honest examinations will increase everyone's trust in the online education sector. Proposed project is a website developed using AI algorithms such as CNN/RNN algorithm which monitors students during the exam, allowing students to attend the exam from any location, which will help in detecting any malicious activities via webcam and guarantee fair evaluation of exams. Vision based tracking consists of Eye ball tracking, Lip movement, additional member detection in frame and more. The website will also ensure that the candidate is sharing his/her screen. Conclusion, the proposed project provides an online platform with features like view students screen anytime, send warning messages, terminate someone's exam, eye tracker, lip tracker for conducting effective exams. © 2022 IEEE.
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The plant Curcuma longa, a perennial herbaceous member of the Zingiberaceae (ginger family), produces turmeric. Protein, fat, minerals, carbs, and moisture are all included in turmeric. Curcumin (diferuloylmethane), a phenolic diketone that makes up 34 percent of curcumin and is made up of curcumin I, curcumin II, and curcumin III, is what gives turmeric its characteristic yellow colour. Curcumin have versatile pharmacotherapeutic potential and their biological functions have been thoroughly investigated in recent years. As the main bioactive component, curcumin has numerous pharmacological properties including antioxidant, anti-inflammatory, anti-hypertensive, anti-diabetic, hepatoprotective, anti-rheumatoid arthritis and anti-cancer properties. In persons who are active, it improves recuperation and performance. It helps with viral infections and dental issues such as dental pain, gingivitis. Covid also benefits from curcumin. ar-turmerone also possesses antiinflammatory properties. Ar-turmerone is a potentially effective treatment for a number of neurologic conditions like schizophrenia. Multiple health advantages are provided by curcumin when mixed with boosting agents. Copyright © 2022, Global Research Online. All rights reserved.
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The World Health Organization (WHO) stated the novel coronavirus (COVID-19) a global pandemic on 11th March 2020. The virus-infected patients suffered from a respiratory disease called Severe Acute Respiratory Syndrome Coronavirus 2 (SAR-CoV-2). A proteinaceous exudate, alveolar edema, and hyperplasia associated with monocytes and lymphocytes alveolar inflammatory infiltration was observed in the affected patient’s lungs. Virus broadens a systemic inflammatory reaction with a cytokine release syndrome which is characterized with the aid of using unexpected growth in many pro-inflammatory cytokines especially IL-6, IL-1, and TNF-α through activated M1 macrophage phenotype. Virus block IL-6 with tocilizumab and the usage of respirator device appears to be very vital. Radioactivity is the process by which unstable atomic nucleus losses energy by radiation, mainly using alpha, beta, and gamma rays. SARS-CoV-2 affected lungs can be treated by a low dose of radiotherapy. It was found that minute dose chest radiation therapy can be able to wean patients off a ventilator as it can reduce inflammation inside the lungs of severely infected COVID-19 patients. Numerous such clinical trials are underway and researchers may work to cure the COVID-19 lung infections by radiotherapy. © 2021, SILAE (Italo-Latin American Society of Ethnomedicine). All rights reserved.
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COVID-19, which also induced an economic downturn globally, has forced the organizations to suddenly implement remote working, creating many challenges for the employees. The fast spread of the virus may also create fear among the employees. It can have a detrimental impact on the mental well-being of employees. There exists inadequate research on this subject, which is not only new but also very important. The study aims to assess the impact of a sudden transition to remote working, economic downturn, and the fear of virus transmission on the mental well-being of employees in India, focusing on the triggers of anxiety & mental illness. The impact of anxiety-causing independent factors, including organizational support, worklife balance, isolation, fear of the virus, and recession, on mental well-being, was determined through a survey. The dependent factor, i.e., the severity of anxiety, was measured using GAD-7 questions. The independent factors were measured through structured questions. Statistical analysis of the data was carried out on SPSS. There were no significant differences in gender between severities of anxiety. Logistic regression revealed that Organizational Support significantly influenced the anxiety of employees. It was found that there exists a significant association between the severity of anxiety in Employee Assistance Program, Job Insecurity, Financial Impact, and Fear of getting the virus, Concern over Safety at Workplace, Home Environment and Deterioration in team collaboration.
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Introduction: Corona virus disease 2019 (COVID-19) has been declared a notified disaster and public health emergency of international concern. Health-care workers (HCWs) who are involved in the care of these COVID patients are at additional risk of developing mental illness themselves due to direct exposure associated with the disease in them leading to this study. Aim: This study aims to assess the psychosocial impact of COVID-19 pandemic on HCW using Screening Questionnaire for Disaster Mental Health (SQD). Materials and Methods: A cross-sectional study was done on 112 HCW in SMS Hospital, Jaipur from June 1, 2020, to June 15, 2020. SQD was used to assess the magnitude of posttraumatic stress disorder and depression in these HCWs who were directly involved in care of COVID-19 patients at some point of time and had no previous history of mental illness. Results: 5.67% HCW were suffering from severe posttraumatic stress disorder and similar 5.67% had severe depression due to COVID-19. Results analyzed by t-test found that, overall, HCWs were mildly affected by COVID-19 in terms of posttraumatic stress disorder (mean value 2.16;95% confidence interval [CI] = 1.80-2.53, P = 0.000) and depression (mean value 1.27;95% CI = 0.97-1.57, P = 0.000) as per SQD scale. Conclusion: The study highlighted that the majority of the HCW were slightly affected by corona pandemic in terms of posttraumatic stress disorder and depression but as corona is still persisting, the need of constant vigilance for its psychosocial impact on them continues. The following core competencies are addressed in this article: Medical knowledge, Professionalism, Practice-based learning and improvement, Systems-based practice.
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Emergence of novel coronavirus has resulted in global chaos within days of its first detection in Wuhan, China. To curb the spread of Covid-19, stringent actions like lockdown and social distancing were imposed comprehensively around the World, training Institutes in India and globally, were widely affected by these restrictions. Henceforth, giving rise to an immediate need to extemporize modules to be adjusted to disseminate knowledge through e– learning platforms. This observation is an experience document to share the challenges and usefulness of shifting towards e-learning encountered by The National Cold Chain and Vaccine Management Resource Centre (NCCVMRC), Delhi. This piece additionally discusses the practices that could assist academic institutions in dealing with limitations associated with moving toward e-learning. © 2020, Indian Association of Preventive and Social Medicine. All rights reserved.
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Technological advancements have a rapid effect on each domain of day today life, whether it is medical domain or any other domain. Artificial intelligence has shown promising outcomes in emergency department through its decision making by investigating the data. COVID-19 has affected many countries across the globe in a matter of no time. Citizens all over the world are susceptible to its consequences in future.Covid-19 being a contagious disease needs a program that will make it easier for the tracking, the spread and preventing the future cases. Proposed algorithm that can predict on-going Covid-19 positive cases in India. For experimental analysis machine learning algorithm has been coded to make future predictions. © 2021 Institute of Physics Publishing. All rights reserved.
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Introduction: Corona virus disease 2019 (COVID-19) has been declared a notified disaster and public health emergency of international concern. Health-care workers (HCWs) who are involved in the care of these COVID patients are at additional risk of developing mental illness themselves due to direct exposure associated with the disease in them leading to this study. Aim: This study aims to assess the psychosocial impact of COVID-19 pandemic on HCW using Screening Questionnaire for Disaster Mental Health (SQD). Materials and Methods: A cross-sectional study was done on 112 HCW in SMS Hospital, Jaipur from June 1, 2020, to June 15, 2020. SQD was used to assess the magnitude of posttraumatic stress disorder and depression in these HCWs who were directly involved in care of COVID-19 patients at some point of time and had no previous history of mental illness. Results: 5.67% HCW were suffering from severe posttraumatic stress disorder and similar 5.67% had severe depression due to COVID-19. Results analyzed by t-test found that, overall, HCWs were mildly affected by COVID-19 in terms of posttraumatic stress disorder (mean value 2.16;95% confidence interval [CI] = 1.80-2.53, P = 0.000) and depression (mean value 1.27;95% CI = 0.97-1.57, P = 0.000) as per SQD scale. Conclusion: The study highlighted that the majority of the HCW were slightly affected by corona pandemic in terms of posttraumatic stress disorder and depression but as corona is still persisting, the need of constant vigilance for its psychosocial impact on them continues. The following core competencies are addressed in this article: Medical knowledge, Professionalism, Practice-based learning and improvement, Systems-based practice. © 2020 Wolters Kluwer Medknow Publications. All rights reserved.
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As humanity is progressing, many new borne infections are borne, and the stability and efficiency of the human body are being tested. Today the World is fighting with a deadly Novel infection named Corona Virus Disease. The aim of this systematic review is to find out the efficacy of Nutritional Interventions against the infections caused in the body due to pathogens. Further, the recommendations can be made for further researches based on the evidence collected. To collect the data, electronic databases such as Scopus, Pub Med, NCBI, and web of science have been used. The peer-reviewed journals and newspaper reports are being cited with the English language. The papers were published from 1989 to 2020. Finally, a total of twelve studies were identified, and the pathways of all nutrient metabolisms are included in the study. The studies were mostly carried out in Asian and European countries on human as well as animals. All the studies except one supported the role of Nutrients in preventing and curing the infection caused by pathogens such as Bacteria and Viruses. The Dietary Interventions in any form were proven to have a positive effect on strengthening the Immune system and also curing the disease. The results are supporting that Adaptive immunity can help a person to fight with COVID-19. Mostly the adaptive immunity is built by vaccinations or certain medications. But many researches showed that a diet filled with nutrients and the right choices of food can help to build adaptive immunity.