ABSTRACT
The need for intelligent and distributed monitoring systems based on sensor networks of diverse application systems is growing as a result of the field of industrial control in network applications developing so quickly. It is required to check the body temperatures and attendance when students and staffs visit schools and colleges during this COVID 19 pandemic. A solution is developed here for the purpose of tracking temperatures and attendance management using a smart thermometer without being in contact in order to keep social distance. The person (both staff and student) faces are captured by the ESP32 Camera for training and testing purposes. After the training is over, the ESP32 Micro Controller board registers the student or faculty facial image. For attendance purposes, the MLX90614 IR Temperature Sensor will measure the body temperature of students or instructors. Both the collected data and the email-based attendance notification will be transferred to the cloud using IoT. The message "Please leave the college and take care of your health" will be communicated to the person if their temperature exceeds the threshold level. © 2022 Authors. All rights reserved.
ABSTRACT
Mathematical model is an model of an existing behavior of the system using mathematical language. The world health organization has announced that the novel corona virus disease(covid-19) is a major threat for human being. We developed a mathematical model to analyze the threat of covid-19 using graph network and governing the differential equations. © 2022 American Institute of Physics Inc.. All rights reserved.
ABSTRACT
Insurance is the one of the service sectors which plays the vital role in quality based services. This sector consistsof all types of financial activities such as banking and trade of securities. Insurance cover many aspects of assurance on life,medical and insurance on general aspects. Health insurance is a mechanism that provides monetary requirements at the timeof uncertainty faced by the insurer. Over the past few decades, India's achievement in terms of health improvement has beenremarkable but health insurance industry is still way behind many other developing countries. Covid-19 impact createdprerequisite of health insurance. The aim of the study to high light the factors for choosing thehealth insurance and reasonfor not ready to take health insurance policy. The study investigated the survey through the structured questionnaire methodand applied conveniences sampling method. The SPSS statistical tool was employed to draw the results from the 100collected data. Descriptive statistics and Anova, Factor analysis are applied to infer the results. The study concluded thatthere is no special policy for women and children to attract more number of citizen to fetch the benefits and need strategy to move the next level ininsurance sector. Copyright © 2022, Anka Publishers. All rights reserved.
ABSTRACT
Insurance is one of the service sectors which play the vital role in quality based services. This sector consists of all types of financial activities such as banking and trade of securities. Insurance covers many aspects of assurance on life, medical and insurance on general aspects. Health insurance is an instrument that supports monetary requirements at the time of uncertainty faced by the insurer. Over the past few decades, India’s achievement in terms of healthy survival consciousness has been significant but health insurance sectors are still the way behind while comparing with many other similar countries. Covid-19 impact created prerequisite of health insurance. The purpose of the study is to highlight the factors for choosing the health insurance and personality traits on perception of health insurance. The study investigated the survey through the structured questionnaire and applied convenience sampling method. The SPSS statistical tool was employed to draw the results from the 100 respondents. Descriptive statistics, Anova, Correlation, Regression and Factor analysis are applied to infer the results. The study identified three variables like, Assurance, convenience, responsiveness and satisfaction as service quality. This study concluded that convenience and responsiveness has significantly correlated. Challenges and personality traits are perfectly correlated. Finally, the result shows that personality traits have an impact on buying behaviour of health insurance.
ABSTRACT
Introduction: Melioidosis is an infectious disease caused by Gramnegative bacterium Burkholderia pseudomallei. It is a potentially fatal disease endemic to tropical and subtropical regions. Bacteria spread by contact with contaminated water and soil. The presentation of this disease is variable ranging from localized infection to fulminant septicemia and multi-organ dysfunction. Objective: The purpose of this study is to look into clinical presentation, treatment, and outcomes of confirmed melioidosis cases in a tertiary care hospital. Materials and methods: This is a retrospective case series of patients in a single tertiary care center between January 2018 and September 2021. We present a series of 19 cases admitted with a confirmed diagnosis of melioidosis. Three of 19 cases discontinued treatment in between but were included in the analysis. Results: We report 19 cases of melioidosis admitted to our hospital in a span of 3 years (17 males and 2 females). The median age of presentation was 47 years. The disease had varied presentation with lung involvement in 11 cases (57%), solid organ abscesses in 8 cases (42%), osteomyelitis and septic arthritis in 5 (26%), and acute pyelonephritis in 2 cases (10%). Lung involvement was seen as consolidation, septic emboli, and solid nodular lesions. Most common risk factor associated with disseminated disease was diabetes. Diabetes was seen in 17 cases (89.4%). All patients had uncontrolled blood sugars and 2 cases presented in DKA. Other comorbidities seen were systemic hypertension (16%), coronary artery disease (10%), chronic liver disease (10%), post COVID (10%), and SLE (5%). ARDS complicating lung condition was seen in 6 patients (54%) of which 3 patients were managed with NIV and 3 patients required invasive mechanical ventilation. AKI was seen in 11 patients (57.8%) of which 8 patients recovered from AKI and 3 patients required renal replacement therapy. One patient with associated lupus nephritis required long-term hemodialysis. Altered liver function test was seen in 11 patients (57.8%). Bone marrow suppression is common. Three patients had pancytopenia and 10 patients had thrombocytopenia. Hyponatremia was the most common electrolyte abnormality seen in 7 patients (36.8%). Of the 19 cases admitted three patients did not continue treatment. Median hospital stay for the remaining 16 cases was 16 days. 15 out of 16 cases survived with a survival rate of 93.7% and one mortality (6.2%). Conclusion: Melioidosis is a potentially fatal disease. High index of suspicion is required for diagnosing this condition due to its varied presentation. Early diagnosis and appropriate treatment is the cornerstone in improving the outcome. Though mortality was less than 6%, they have significant morbidity with prolonged ICU and hospital stay leading to increased economic burden.