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The study proposes a novel deep learning-based model for early and accurate detection of the Tomato Flu virus, also known as tomato fever, which has recently emerged in children under the age of five in the Indian state of Kerala. The model utilizes a deep learning method to classify skin pictures and check whether a person is suffering from the virus or not, with an accuracy of 100% and a validation loss of 0.2463. Additionally, an API is developed for easy integration into various web/app frameworks. The authors highlight the importance of careful management of rare viral diseases, especially in the context of the ongoing COVID-19 pandemic. © 2023 Bharati Vidyapeeth, New Delhi.
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Background/Objectives: The changes and restrictions precipitated by the COVID-19 pandemic have led to innovation in Clinical Genetics service delivery worldwide. At the Guy's and St Thomas' (GSTT) Clinical Genetics Service, telegenetics was implemented at the beginning of the pandemic using the AttendAnywhere videoconferencing platform. We subsequently designed a qualitative study to capture experiences and preferences of Healthcare Professional's (HCP) using this service delivery model. Method(s): We conducted semi-structured interviews with seven HCPs working at the GSTT Clinical Genetics Service, including Genetic Counsellors, Clinical Geneticists and a Clinical Psychologist. Interview content was analysed using a thematic analysis approach. Result(s): We present HCPs' experiences of transitioning between virtual and in-person appointments and their appraisal of the technical and practical aspects of telegenetics. We also present themes that emerged about how HCPs' clinical practice has changed to adapt to telegenetics, as well as differences in both patients' and HCPs' attitudes towards virtual appointments when compared to in-person encounters. Future considerations will be shared regarding the suitability of telegenetics for Clinical Genetics appointments. Conclusion(s): Based on their experience at GSTT, HCPs interviewed would welcome the addition of telegenetics to the Clinical Genetics toolkit beyond the COVID-19 pandemic, and we will provide considerations for future guidelines.
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The Coronavirus Disease 2019 (COVID-19), also known as a novel coronavirus (2019-n-CoV), reportedly originated from Wuhan City, Hubei Province, China. Coronavirus Disease 2019 rapidly spread all over the world within a short period. On January 30, 2020, the World Health Organization (WHO) declared it a global epidemic. COVID-19 is a Severe Acute Respiratory Syndrome coronavirus (SARS-CoV) evolves to respiratory, hepatic, gastrointestinal, and neurological complications, and eventually death. SARS-CoV and the Middle East Respiratory Syndrome coron-avirus (MERS-CoV) genome sequences similar identity with 2019-nCoV or Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2). However, few amino acid sequences of 2019-nCoV differ from SARS-CoV and MERS-CoV. COVID-19 shares about 90% amino acid sequence simi-larity with SARS-CoV. Effective prevention methods should be taken in order to control this pandemic situation. To date, there are no effective treatments available to treat COVID-19. This review provides information regarding COVID-19 history, epidemiology, pathogenesis and molecular diagnosis. Also, we focus on the development of vaccines in the management of this COVID-19 pandemic and limiting the spread of the virus.Copyright © 2022 Bentham Science Publishers.
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Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has taken over the world, and more than 38 lakh deaths had been reported till now due to this infectious disease. It has been declared a global pandemic by the world health organization. SARS-CoV-2 causes coronavirus disease of 2019 (COVID-19), and the major problem called "Cytokine storm" is reported, which may lead to death among the COVID-19 patients. This study aimed to review the Cytokine storm and its mechanism along with few immunomodulatory therapies for SARSCoV-2 infection suppression effectively. Method(s): The recently published works of literature were selected and reviewed based on the subject of this study. The databases, including Pubmed, ScienceDirect, Scopus, and Google Scholar, were searched extensively. Result(s): The review of the literature showed that an uncontrolled immune response causes excess inflammation. Evidence from recent trials has demonstrated that cytokine storms can be an important factor in the COVID-19 severity, leading to multiple organ failure and death. Conclusion(s): This study reviewed immunomodulatory therapies and strategies for SARS-CoV-2 infected patients to suppress the immune response. Ultimately, the cytokine storm can prove to be a boon and reduce the significant death tolls to SARS-CoV-2 infection.Copyright © 2022 Bentham Science Publishers.
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The Covid-19 pandemic has turned out to be a global health crisis that has a deep impact on the outlook of how we understand our day to day life. Apart from the uncommon human cost, it has set off a profound impact on various sectors such as economy, education, etc. Due to this crisis a remarkable rise in the utilization of digital services has been experienced. Online learning, which became a panacea for this situation, is progressively observed as another standard in education. Though implementation of e-learning is promoted and is considered as a perfect solution too but still it put an additional strain on these infrastructures since all of these activities are carried out within the network, which leads to various issues such as network congestion, access delay, overloading, etc. This paper describes the various challenges which came in frame with the increased use of online learning in terms of networks during this global health crisis. © 2022 American Institute of Physics Inc.. All rights reserved.
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Augmented Reality (AR) has visualized remarkable growth over the past few decades and currently it is ready to be utilized in various electronic devices such as personal computer, laptops, mobile phones, tablets, etc. At present, this recent technology has discovers its association in several different sectors with its intelligent and smart software which can be easily utilized in various sectors such as medical, education and many more. The increasing demand for Augmented Reality devices and applications in healthcare, rising investments in AR market, and growing demand for ARin education sectors due to COVID-19 are the key factors driving the AR market growth.AR is a new step in enhancement of technology where a user can feel virtual objects in real physical world. With the introduction of this technology in education sector teachers can pass on their insight on a particular topic more vitally, effectively and in an alluring way. Students will be able to understand things more preciously and easily if this innovation is acquainted with them. This paper reviews the improvement in the current education and learning system by introducing the concept of AR. © 2022 American Institute of Physics Inc.. All rights reserved.
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At the end of 2019, the world saw a storm of a fatal virus that spread across the globe infecting people, blocking their progress as well as lives. Covid-19, coronavirus, had knocked out as the world's strongest pandemic that snuffed everything and everyone. With due research done on this infection, we came up with some cautions to be adopted, like social distancing, going out lesser or whenever needed, and the usage of masks which sounded to be a highly efficient way to secure oneself from inhaling this virus. Thus, with this production of masks reached its peaks, but the key challenge that persists is choosing the best one. Finding the right mask causing least problems today and tomorrow meanwhile protecting one’s health could be termed as the best here. We surveyed around 5000+ mask users of different age groups in northwestern part of an Asian country i.e. India, marking different parameters of their masks usage like its type, period of use, and general problems while or after using the mask, etc. Upon analysis, we found the most prominent masks used are cotton masks and surgical masks irrespective of the age group. Our findings showcased that with cotton mask one may leads to lesser after hassles of masks. Each mask types carries some after effect of its usage, wherein the most common disease found acne followed with breathlessness keeping these two-mask type as parameter. © 2022 American Institute of Physics Inc.. All rights reserved.
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This study explores the impact of covid-19 on consumer buying behavior and consumption pattern of Indian retail consumers towards Fast Moving Consumer Goods (FMCG) [1] products and the changed dynamics of the FMCG industry. The raging pandemic witnessed a huge change in the lifestyle of the people. This change was not only severe but also a sudden one. The FMCG items are daily usage items that are regularly bought and consumed [1]. These items are usually priced low and bought frequently. Using empirical evidence collected from 150 consumers, the study attempts to analyze and explain the changes in terms of the products consumed in various product categories due to changed conditions forced through by the prevailing pandemic. The study uses simple mathematical techniques to understand the difference in the types of products bought, the buying frequency, the place of purchase, the price implications and the role of promotions. Using Analysis of Variance (ANOVA) it is concluded that significant influence of educational qualification is observed in buying of FMCG items during pandemic. © 2022 American Institute of Physics Inc.. All rights reserved.
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Aim: To assess the Knowledge and Awareness regarding Breastfeeding and COVID-19 vaccination among Pregnant and Lactating Mothers attending OPD in a Service Hospital during COVID-19 Pandemic. Material(s) and Method(s): Hospital based cross sectional study. Sample size of 380 Pregnant and Lactating Mothers attending OPD antenatally or postnatally were included in the study. Ethics committee approval was taken. A peer reviewed predesigned questionnaire was used to obtain information after taking consent. Demographic data and Knowledge of Mothers regarding Breastfeeding and COVID-19 Vaccination data was collected and analyzed. Result(s): Our Study revealed knowledge and awareness regarding Breastfeeding and COVID-19 Vaccination in Pregnant and Lactating Mothers during COVID-19 Pandemic in a Service Hospital to be 53% and 57% respectively. Our Study also found a significant correlation between Age and Education of Mothers and their Knowledge regarding Breastfeeding in Pregnant and Lactating Mothers during COVID-19 Pandemic. A significant Correlation was found between Education of Mothers and their Knowledge regarding COVID-19 Vaccine in Pregnant and Lactating Mothers during COVID-19 Pandemic. Conclusion(s): This study emphasizes the need to focus on promotion of breast feeding and COVID-19 Vaccination in Pregnant and Lactating during COVID-19 Pandemic. These simple steps may contribute in lowering Neonatal and Infant Mortality rates. Breastfeeding must continue after Maternal COVID-19 vaccination. Copyright © 2022 Ubiquity Press. All rights reserved.
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Background: The COVID-19 pandemic has inflated the risks faced by healthcare workersand may increase their susceptibility to sleep and psychological problems. This cross-sectional observational study assessed the sleep and psychological problems due to the COVID-19 pandemic among healthcare workers of Employees State Insurance Corporation, an organized sector under the Ministry of Labour and Employment, India. Method: Logistic regression was used to evaluate factors associated with symptoms of anxiety, depression, insomnia and perceived stress among 492 healthcare workers in Employees State Insurance Corporation hospitals and dispensaries in Delhi and the National Capital Territory Region, India. Results: Logistic regression determined that factors of workplace type and frequency of hand washing were associated with anxiety;workplace type, job profile, occupation, formal COVID-19 training and adequate personal protective equipment were predictors of perceived stress;job profile was a common predictor of depression and insomnia;workplace type and formal COVID-19 training were associated with depression and insomnia, respectively. Limitations: This study was limited to healthcare workers in Employees State Insurance Corporation of Delhi and NCR which limits its generalizability to other regions of India. Conclusions: Healthcare workers are exposed to increased risk in the execution of their duties and require support to secure their wellbeing. Policies, systems for early detection of sleep and psychological problems, training, preparedness and efficacy in crisis management are suggested to reduce and prevent the occurrence of these problems among HCWs.
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The ongoing pandemic has led to unprecedented disruption to the economies all over the world and exposed the vast majority of the population to the health-related financial shocks. It sets off a domino effect right from affecting the health of larger share of population to the economic policies pursued by the government to contain the spread of novel coronavirus. Countries have imposed temporary lockdowns and restored to social distancing. Unfortunately, such measures had huge economic costs in terms of poverty, income distribution and unemployment. With this context, this paper attempts to examine the impact of the COVID-19 containment measures on poverty and income inequality in India. It was observed that the COVID-19 not only exacerbates income inequality but also pushed many people into the extreme poverty. It clearly reflects that with poor health facilities and infrastructure, a large section of the society has suffered a huge real income shock that could jeopardized the country’s economic growth. Thus, from policy perspectives, the present economic crisis amid COVID-19 pandemic delineates the importance of placing social protection policies that is oriented towards vulnerable and marginalized households especially in the event of social shocks. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Introduction: COVID-19, caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has spread across the globe,causing > 100,000 deaths in India in the first wave. The second wavewith its atypical undetected genetic mutation brings new trends indisease morbidity and significant variation in target organs, blood andblood components, especially new and some significant trends in thecoagulation parameters. The coagulopathy associated with COVID-19is characterized by thrombocytopenia, prolongation of the prothrombin time, high levels of D-dimer, elevated levels of fibrinogenand APTT. The levels of D-dimer correlate with disease severity andpredict the risk of thrombosis.Aims &Objectives: Predicting the severity and prognosis ofCOVID-19 patients in the Second Wave of the Pandemic by evaluating the coagulation markers like D-dimer (DD), Prothrombin Time(PT), Activated Partial Thromboplastin Time (APTT), and Fibrinogen(Fb) in them.Materials &Methods: A total of 110 confirmed COVID 19 patientsduring the Second wave who were admitted at DR PRABHAKARKORE HOSPITAL, JNMC, BELAGAVI between March 2021 andJuly 2021 were categorized into mild, moderate and severe based onCO-RADS SCORE. The dynamic changes of DD, PT, APTT, and Fbwere studied and correlated with clinical findings and prognosis.Result: Coagulation variations occurred at the early stage of COVID-19 infection, with 79(71.81%) patients having significant increase inDD, 70(63.63%) patients having significant Fb increase, 53(48.18%)in PT and 57(51.81%) in APTT. In mild to moderate cases significantvariation of coagulation parameters was found in the first week ofadmission whereas in severe and critically ill cases the variationswere more in the last week of their hospital stay. Gender variation isnot significant in the study population. The above 50 yrs age grouphad poorer prognosis with higher variation and higher levels of all theparameters studied as compared to the age group below 50 yrs.Conclusions: Coagulation parameters could be used as significantindicators in predicting the severity and prognosis of COVID-19patients in the Second Wave.
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Background: Severe Acute Respiratory Syndrome Coronavirus 2 (COVID-19) has affected over 250 million people globally and resulted in over 5 million deaths since it was first reported in November 2019.
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Purpose: Banking industry has no option but to remain observant and redraft the contagion playbook as per the situation evolves owing to COVID-19. Therefore, this study aims to develop a model to examine empirically how effectively complaints are handled to control customer retaliation and negative e-word of mouth (eWOM) in such a pandemic situation, where banking institutions are using social media as a key platform. Design/methodology/approach: A self-administered questionnaire was distributed among 309 participants who had encountered service failure and experienced complaint handling on Facebook. This study draws upon prevailing literature to test a series of hypotheses through structural equation modeling. Findings: The findings show that effective complaint handling has a negative influence on customer retaliation in the social media environment. As a result, customer retaliation was found to have a positive association with negative eWOM. Therefore, this study has revealed that effective complaint handling will lead to decrease in customer retaliation and negative eWOM. Practical implications: This study carries an understanding of effective complaint handling efforts by leading banks in the social media environment during the COVID-19 pandemic. This study recommends that customized and effective efforts by the banks can influence customer retaliation and negative e-WOM. Originality/value: The study is conducted during COVID-19 pandemic considering the impact of COVID-19 on banking sector, which is a new phenomenon. This study has highlighted how banks have modified their working methodology during pandemic situation by using Facebook as a prominent platform to redress customers’ issues and complaints. © 2021, Emerald Publishing Limited.