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Health monitoring systems are rapidly growing in recent times, Continuous monitoring of the patients is one of the big challenges for hospitals. Smart systems have been established to track the patient present health status;we focus on monitoring the patient's blood pressure, body temperature, Heart rate. In this project we use Arduino Mega 2560 which is a microcontroller board based on the ATmega2560 comments. In this paper, Embedded C language by using Arduino is used to obtain the sensor values. IOT data cloud is used in this project. IOT is used in healthcare system to track the patients' health condition as a monitoring device. Cloud computing develops as a platform for IoT data storage, processing and analytics because of its simplicity, expandability and affordability. Transmit sensor values to Arduino and it sends to GSM and WIFI module to monitor the parameters of the patients. In this project the notifications of patient's health status are sent to the caretaker and nurse, simultaneously it is updated in webpages also for the doctor's reference. Taking in account, COVID 19 Pandemic is highly infectious and spreadable disease, so to maintain the social distance, this monitoring system is needed. It reduces the need for face-to-face appointments with doctors in hospital. ECG sensor is also used to decide the heart activity of the patients. This project aims for the patients who are in continuous monitoring and bedridden. The GSM and IOT technologies give the architecture for healthcare in this project. © 2023 Author(s).
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Background and aim: Coronavirus has emerged as a pandemic leading to pneumonia and death in susceptible populations, especially in immunocompromised hosts and the elderly. Though national governance and drug firms work in cohesion to develop vaccines, the fear and anxiety towards misconceptions about vaccine efficacy and adverse effects lead to underutilization of the vaccines. Though known for its immunogenic responses against infections, conservative lifestyle modifications such as Yoga and physical exercise's synergistic effects with coronavirus vaccine's immunogenic response remains unknown. Methods: We administered a systematic search on the contemporary evidence investigating the immune responses of physical activity or Yoga in three databases: PubMed, Embase and Web of Science. In the present review, we reviewed the empirical evidence that explored the role of Yoga and physical exercise as an immunity booster and extrapolated their effects against coronavirus infection. Results: We found sixteen articles emphasizing physical activity to augment immune responses towards Coronavirus. Discussion and Conclusion: Considering the contemporary evidence, complementary therapies such as Yoga or physical activity are speculated to improve the influenza vaccines' immune responses. We recommend that Yoga and physical exercises be affordable, practical and effective strategies that could be advocated along with vaccination doses. We hope the present review may help readers and policymakers explore complementary therapies that could be administered as adjuncts to vaccine-mediated immunity in combating the deadly pandemic. © 2023 by authors, all rights reserved.
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The study assessed the mediating role of green organizational capabilities (green technology development, green operations, and green transactions), in the relationship between green value co-creation and organizational resilience among Chinese manufacturing firms, that is, firms' ability to build strong organizational resilience in response to the COVID-19 pandemic. It focused on manufacturing firms operating within Shenzhen, a coastal city located within the Guangdong province in southeastern China. The sample comprised 234 firms. Data were analysed using a covariance-based structural equation modeling. Findings revealed that green value co-creation had no direct effect on organizational resilience, rather, its effect was realized indirectly through green organizational capabilities. The study concludes that manufacturing companies can augment their organizational capabilities by leveraging the knowledge of their customers through green value co-creation to build strong organizational resilience. Theoretical and managerial implications have been provided.
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The COVID-19 pandemic highlighted shortfalls in the U.S. food system, exposing how regulatory processes shape access to the market. This paper builds on ongoing research following the impact of shut-down orders on alcohol retail via small restaurants and breweries in Arizona and examines the impacts of regulatory shifts on the ability of these food enterprises to pivot. We highlight how the concept of the pivot creates expectations of individual businesses ability to be resilient to shocks. Responses within Arizona to COVID-19 induced systemic failures, demonstrate that bottom-up pivots from small businesses can creatively and quickly meet local community needs. However, those efforts were stymied by state government and top-down approaches that proved incapable of pivoting to meet local needs. Through this case study, we highlight the need and opportunity for further examination of the interplay between regulatory agencies and small businesses in times of crisis. We invite others into the work of creating guidelines for pivoting that facilitate bottom-up and top-down collaboration while ensuring the voice and agency of different players.
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The whole world had been plagued by the COVID-19 pandemic. It was first detected in the Wuhan city of China in December 2019, and has then spread worldwide. It has affected each one of us in the worst possible way. In the current study, a differential equation-based mathematical model is proposed. The present model highlights the infection dynamics of the COVID-19 spread taking hospitalization into account. The basic reproduction number is calculated. This is a crucial indicator of the outcome of the COVID-19 dynamics. Local stability of the equilibrium points has been studied. Global stability of the model is proven using the Lyapunov second method and the LaSalle invariance principle. Sensitivity analysis of the model is performed to distinguish the factor responsible for the faster spread of the infection. Finally, the theoretical aspects have been corroborated via numerical simulations performed for various initial conditions and different values of the parameters. © 2023 the author(s).
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Objective: Misinformation and substance use both increased substantially during the COVID-19 pandemic. This study examined potential links between misinformation beliefs and substance use among adults, along with the potential for media literacy to mitigate misinformation's influences on problematic use of widely available substances of misuse. Method(s): Structural equation modeling (SEM) was used to test a theoretical model of media literacy's effects on substance use, fully mediated by disinformation beliefs, with a nationally representative sample of U.S. adults recruited through a Qualtrics panel of adults using census-based quotas for geographic region, population density, ethnic diversity and gender (N = 1264). The sample was 51.5% male (N = 651);46.7% female (N = 591);1.1% nonbinary (N = 13);and 0.7% (N = 9) not reporting. Result(s): Media literacy for source of news positively associated with media literacy for content of news (b = 0.814, p < 0.001). Media literacy for content of news then positively associated with science media literacy (b = 0.192, p < 0.001). Science media literacy then negatively associated with disinformation beliefs (b = -0.586, p < 0.001), and COVID-19 disinformation beliefs associated with an increase in substance use (b = 0.466, p < 0.001). Disinformation beliefs also associated with alcohol and sleep medication co-use (odds = 1.956, p < 0.05). Conclusion(s): Results demonstrate media literacy's value for substance misuse prevention and effective public health messaging.Copyright © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC.
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Introduction: SARS-CoV2 Chinese virus pandemic has significant impact on hematopoietic system. Aims & Objectives: To report the incidence and pattern of baseline hematological parameters in patients with COVID-19 and their association with severity of disease and outcome. Material(s) and Method(s): Retrospective observational study. Result(s): A total of 440 patients were included in the study. The mean age of the study cohort was 47.5 +/- 15.8 years. Fifty percent of patients had at least 1 comorbidity. ICU stay was required in 125 (39.6%) patients. Overall mortality in the study cohort was 3.52%. The average age of patients who died was significantly higher than that of patients who were alive (65.1 years vs 46.5 years;p = 0.000). DM, HTN, CAD and CKD were all associated with higher incidence of ICU stay and mortality. Lymphopenia<1 x 109/mul was observed in 24.3% and eosinopenia was noted in 44.3% patients. Leukocytosis > 11 x 109/mul was seen in 8.2% of patients. The median neutrophil lymphocyte ratio (NLR) of whole cohort was 2.63. NLR, Lymphopenia, eosinopenia, leucocytosis, D dimer, lactate dehydrogenase (LDH), ferritin and IL6 levels all were associated with need for ICU transfer and mortality. Hemoglobin, red cell distribution width (RDW), PT and aPTT correlated with need for ICU transfer but not with mortality. Ferritin cutoff >= 751 ng/ml and IL6 levels >= 64 pg/ml was able to identify all deaths. Ferritin (0.989) and IL-6 (0.985) had very high negative predictive value. Conclusion(s): Peripheral blood counts at time of hospitalization is a simple tool to predict outcomes in patients admitted with Chinese virus infection Covid-19. (Table Presented).
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Purpose - This study has three main purposes: (1) to investigate the association between social media news use and misperceptions about COVID-19;(2) to explore the mediating role of homogeneous online discussion;(3) and to understand whether the extent to which one perceives themselves as media-literate could moderate the relationship. Design/methodology/approach - The authors conducted an online survey and collected data through Amazon Mechanical Turk. A total of 797 participants aged 18 and above completed the survey. The average age of the respondents is 38.40 years (SD = 12.31), and 41.2% were female. In terms of party identification, 30.8% were reported leaning toward Republicans;53.7% leaned toward Democrats, and 15.4% were reported neutral. Findings - Results from a moderated mediation model show that social media news use is positively associated with misperceptions about the COVID-19. Moreover, homogeneous online discussion was a significant mediator of the relationship between social media news use and misperceptions about COVID-19. Further, self-perceived media literacy (SPML) significantly moderated the main and indirect effects between social media news use and COVID-19 misperceptions, such that the associations became weaker among those with higher SPML. Originality/value - Findings provide insights into the significance of online information sources, discussion network heterogeneity and media literacy education. Although there have been many studies on misinformation, prior research has not examined these relationships, which may help provide solutions to cope with misinformation.
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Quality education is crucial for growth and development of a nation. Teaching learning process worldwide which was disrupted by COVID-19 pandemic has found consolation through online remote teaching. Competency of teachers plays an important role in the success of online teaching. The study was conducted in North Eastern region (NER) of India to assess the faculty members' competency in online teaching of agricultural undergraduates. For the study, all the teachers of institutesin NER imparting undergraduate level degree course in Agriculture were selected. Online questionnaire was sent to all the teachers of which 75 responses were received, which formed the respondents of the study. Five online teaching competency dimensions were considered for the study. The respondents had highest mean competency score in Teaching Ethics and lowest in Content Facilitation. Online teaching competency had significant and positive correlation with online teaching experience;attitude towards online teaching;and organisational facilities & support. The study recommends providing organizational facilities and support in the form of adequate infrastructure and conducting trainings on awareness and usage of e-teaching resources and tools to improve the online teaching competency of the teachers.
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Purpose: This current study seeks to examine the effect of pharmaceutical business ecosystem (BE) governance mechanisms on new product development and to ascertain how crucial firm coordination will be in these relationships. Design/methodology/approach: Analysis was based on 173 firms (institutions) selected from pharmaceutical BE. Various validity and reliability checks were conducted before the presentation of the actual analysis, which was conducted using structural equation modeling in Amos (v.23). Findings: Findings showed that both relational and contractual governance mechanisms had direct positive effects on new product development of keystone. These effects were, however, partially mediated by coordination among the pharmaceutical BE members. Practical implications: The development of COVID-19 vaccines across the globe has taught us that innovation and speedy development of pharmaceutical drugs are very essential. New product development success could however be achieved through effective coordination and proper governance mechanisms. Originality/value: Business ecosystem, considered a network of actors, with varying degrees of multilateral, nongeneric complementarities and nonhierarchically controlled relationship, tends to pose problems for keystones. Very limited attention has however been paid to the governance mechanisms and coordination within the BE, especially in the pharmaceutical industry, which has proved its worth in this season of COVID-19. © 2022, Emerald Publishing Limited.
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Hon'ble Prime Minister of India, on 3rd April 2020, urged people of India to switch off the lights at their homes and light up candles, lamps or mobile phone torches for nine minutes at 9 pm on 5th April 2020 to display the country's collective resolve to defeat the COVID-19 pandemic. While this may sound to be a simple proposition, considering the uncertainty of the collective impact of human behavior, elaborate planning was necessary. This paper discusses about the unanticipated quantum of load reduction and how the inter-connected North Eastern Regional (NER) Grid of Indian Power System demonstrated its resilient nature. The factors which contributed to the resilient nature have been analyzed and quantified.
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Aims & Objectives: Severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) causing corona virus disease 2019 (COVID-19) can have significant impact on the haematological system in the form of cytopenia and disseminated intravascular coagulation. We intended to study the incidence and pattern of hematological involvement in patient with COVID 19. We also To study the association of hematological involvement with severity and outcomes like death and ICU stay. Patients/Materials & Methods: This retrospective study was conducted at Max Superspecialty Hospital, Saket, NewDelhi. All patients>18 years of age and who are admitted with COVID19 infection from 1st May 2020 to 1st June 2020 were enrolled in the study. Results: A total of 440 patients were included in the study. The mean age of the study population was 47.57 + 15.83 years. Two-third of patients were males. Fifity percent of patients had at least 1 underlying comorbidity. Mean duration of hospitals stay was 11.45 + 4.45 days. Lymphopenia was observed in 24.3%. Eosinopenia was seen in 44.3%. Leukocytosis was seen in 8.2%. Prolonged PT was observed in 60.5% of patients. Overall mortality was 3.40%. Need for ICU stay was seen in 28.40%. Severe disease was seen in 19.7%. Age and presence of comorbidity was associated with severe disease, need for ICU stay and mortality. Male sex was associated with need for ICU stay and severe disease. Neutrophil Lymphocyte ratio was high in patients having severe disease, ICU admission and mortality. Multiple regression analysis showed that Ferritin and IL6 predicted mortality. Discussion & Conclusion: COVID19 infection is associated with significant changes in haematological system.