ABSTRACT
Background & Objective: The Covid-19 vaccines in India were introduced after the phase III trial. Though the vaccines have obtained EUA (Emergency Use Authorization) efficacy data and duration of protection is still unknown. This study helps us to understand the vaccine efficacy, sustainability of immune response. Method(s): Blood samples and detailed history were collected. Serum sample are collected after 3 months and 6 months after Covishield vaccine to analyze the presence of Anti SARS IgG antibody to S spike protein. Results : Out of the 550 study population, 2% and 16 % had waning antibody titres by 3 months and 6 months respectively after 2 doses of vaccination. Majority of which had co-morbid health conditions (p<0.5) and O +ve blood group people had more secondary vaccine failures. Increasing age had significant association with wanning immunity. Prolonged interval between the 2 doses had positive effect on the sustainability of immune response at 6 months after 2 doses of ChAdOx1 n CoV-19 vaccination. Interpretation & Conclusions : Notable population had waning immunity after 6 months of ChAdOx1 nCoV-19 vaccination. The current recommendation has to be redefined with respect to various factors such as comorbidities and advancing age to obtain maximum vaccine efficacy. Copyright © 2022 Wolters Kluwer Medknow Publications. All rights reserved.
ABSTRACT
Ever since the surge of the COVID-19 pandemic, the countries all around the globe have been struggling to stand on their feet. The government has been focusing on finding various root causes of the spread. While the government is progressing with vaccination drives, the primary preventive measures must be followed at all costs. In this paper, we propose a low-cost, scalable device that detects the presence of a face mask on human faces and temperature of the person when the camera detects somebody trying to enter. This device would ideally be placed in the entrance of public places that include hospitals, temples, offices, ATMs, malls etc. Here, the concept of transfer learning is used in neural networks to get an out put regarding the presence or absence of masks. TensorFlow tools are used for Image Augmentation. A non-contact temperature sensor is used for measuring the temperature. If the person entering is wearing mask and the temperature recorded is minimum, the door will open and the hand sanitizer will be sprayed when the device detects hands. If either of these conditions are not satisfied, the door will not open and the person will not be allowed to enter. © 2022 Author(s).
ABSTRACT
Internet of Medical Things (IoMT) is an emerging technology whose capabilities to self-organize itself on-the-fly, to monitor the patient's vital health data without any manual entry and assist early human intervention gave birth to smart healthcare applications. The smart applications can be used to remotely monitor isolated patients during this COVID-19 pandemic. Remote patient monitoring provides an opportunity for COVID-19 patients to have vital signs and other indicators recorded regularly and inexpensively to provide rapid and early warning of conditions that require medical attention using secured edge and cloud computing. However, to gain the confidence of the users over these applications, the performance of healthcare applications should be evaluated in real-time. Our real-time implementation of IoMT based remote monitoring application using edge and cloud computing, along with empirical evaluation, show that COVID-19 patients can be monitored effectively not only with mobility but also helps the health care professionals to generate consolidated health data of the patient that can guide them to obtain medical attention. © 2021 IEEE.