A Comparative Study of Screen Time and Its Effects in Pre-Covid and Covid-Era in Children of 5 to 15 Years

Objective: The objective of this study was to compare the screen time (ST) in pre-COVID and COVID era in children aged 5-15 years and to analyse the ST effect in pre-COVID and COVID era in the children. Method(s): The study was done at Vivekananda Polyclinic and Institute of Medical Sciences, Lucknow. Two hundred and seventy-six children aged between 5 and 15 years, attending outpatient department or inpatient department were enrolled in the study. Result(s): It was observed that the ST was significantly increased in post-COVID as compared to pre-COVID time and the difference was statistically significant (p<0.0001*). It was also observed that the screening time was significantly increased in post-COVID as compared to pre-COVID time and the difference was statistically significant (p<0.0001*). Conclusion(s): The present study found that when screening duration was analysed, the screening time during COVID-19 was significantly longer than the screening time before COVID-19 which may be associated with the various health problems reported among children during COVID-19 pandemic.Copyright © 2023 The Authors. Published by Innovare Academic Sciences Pvt Ltd.

Study of X Ray Detection Using CNN in Machine Learning

The coronavirus spread that started in Wuhan, China and spread across the world, affecting the best of the healthcare systems from the Lombardy region of Italy to India, the US, and the UK, required accurate diagnosis. A rapid assessment to ascertain whether or not a patient has COVID-19 is required by frontline clinicians. In this paper, we propose to deduce the presence of COVID-19 using X-ray images of the lungs through feature extraction. A convolution network model is built for binary classification of images into corona positive and negative using the deep learning framework on Python, Keras. Various studies using different classifiers such as CART, XGB-L and XGB Tree were studied, which used machine learning for detection of COVID-19 and yielded a very accurate diagnosis. In this particular CNN model, Google Colab is used to execute the algorithm. The dataset is trained and the validation accuracy obtained is more than 96%. This is a very cost-effective way of using machine learning for the classification of infected and non-infected cases since working on Google Colab doesn't require enormous computational resources. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Advanced Face Mask Detection System

COVID-19 pandemic caused a lot of loss and it is really important to give attention to technologies and ways to slow its spread and eventually stop it. Now in past few months, the government tried to open various sectors of society such as school gyms, etc. but failed and had to shut them down again due to increase in cases;we have seen a gradual increase in cases when the government tries to open these sectors because many persons were not so much attentive and were not following protocols properly. One of them is not wearing proper masks. Mask is a non-pharmaceutical measure that is used against primary spread of COVID by droplets. For people to follow protocols and wear masks, we are proposing a face mask detection device which will be effective to make people more aware to wear face masks by warning them who are not putting masks on their faces and restricting them to enter public places such as school, colleges, gym, etc. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Advanced Face Mask Detection System

COVID-19 pandemic caused a lot of loss and it is really important to give attention to technologies and ways to slow its spread and eventually stop it. Now in past few months, the government tried to open various sectors of society such as school gyms, etc. but failed and had to shut them down again due to increase in cases;we have seen a gradual increase in cases when the government tries to open these sectors because many persons were not so much attentive and were not following protocols properly. One of them is not wearing proper masks. Mask is a non-pharmaceutical measure that is used against primary spread of COVID by droplets. For people to follow protocols and wear masks, we are proposing a face mask detection device which will be effective to make people more aware to wear face masks by warning them who are not putting masks on their faces and restricting them to enter public places such as school, colleges, gym, etc. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Evaluating and improving intravenous line functionality prior to endoscopic procedures

INTRODUCTION: Endoscopists and anesthesia providers at our institution have expressed concern over the efficacy of intravenous lines in patients undergoing inpatient endoscopic procedures. The anesthesia provider or nursing staff often need to adjust or restart the IV to maintain adequate flow throughout the procedure. To date, there is a paucity of research investigating IV functionality for patients presenting to the endoscopy unit. This study aims to evaluate our institutions' IV functionality and whether an IV checklist prior to presentation to the endoscopy unit can improve outcomes. METHODS: All inpatients at Riverside Medical Center, between January 2020 to March 2020, who underwent an endoscopic procedure were included in the study. A chart review of thirty-seven procedures was performed between January±through February 2, this represented the preintervention group. The anesthesia provider reported the IV site as maintained, adjusted, or restarted. Our intervention included a checklist and education provided to floor nurses in advance of patients scheduled for endoscopy. The checklist included three itemsidentify appropriate size and location (ideally twenty gauge or larger and not positioned in the antecubital fossa), verify function (flushes easily without repositioning), and secure position (tape or Tegaderm without leakage or bleeding). The same information collected was used in the post-intervention group with forty-two procedures included from February 3 to March 2. RESULTS: Groups were analyzed as functional, restarted, or adjusted. There were a total of thirtyseven patients in the pre-intervention group of which eleven failed (29.7%) to maintain a functional IV (four adjust and seven restart). Forty-two patients were included in the post-intervention group of which six failed (14.3% with one adjust and five restart). None of the results were statistically significant at the P level ≤ 0.05. CONCLUSION: There was a 15% reduction in the need to restart or adjust an IV after the intervention. Although this was not statistically significant these results may be clinically significant. In our institution, there was more understanding of the key factors needed to maintain an IV site. This was evident analytically by the reduction in the numbers of adjusted IV and increase in the number of functional IV, (12.2% vs 27.0%) and (70.3% vs 85.7%), respectively. Future studies could benefit from larger study groups. Our analysis could not be continued due to the COVID 19 crisis.