ABSTRACT
In this paper, we aim to help in identifying the people that are violating social distancing norms set by the government (necessary during the COVID-19 pandemic in public places), by providing an efficient real-time deep learning-based framework to automate the process of monitoring the social distancing via object detection and tracking approaches. Our system is divided into two subsystems: one that deals with crowd detection and control, and the other that sends information to the police authorities. Our system technologies, including as IoT, image processing, web cams, BLE, OpenCV, and Cloud, are being considered for inclusion in the proposed framework. The image processing is divided into two sections, the first of which is the extraction of frames from real-time movies, and the second of which is the processing of the frame to determine the number of individuals in the crowd. Even in a crowd, dissemination may be restricted if people adhere to social distancing standards. As a result, the image processing model primarily targets the number of people who do not adhere to social distancing norms and stand too close together. © 2023 IEEE.
ABSTRACT
Background: Coronavirus disease is an infectious disease caused by newly discovered coronavirus (SARS-CoV-2), which spread rapidly throughout the world. Vaccines will provide a lasting solution by enhancing immunity and containing disease spread. This study was conducted to find out vaccination status among Covid-19 positive patients and correlate severity of infections with vaccination status. Methodology: This cross sectional study was carried out among 1218 Covid-19 positive patients that were positive after the launch of Covid-19 vaccine, selected by purposive sampling method. Data was collected using pretested semi structured proforma. Results: Covid-19 vaccination coverage was very low (10.03%) in Covid-19 positive patients, for single dose it was 8.38% and for two doses it was 1.65%. Asymptomatic and mild cases were more in vaccinated compared to unvaccinated, it was statistically significant. Though hospitalization in vaccinated was less it was not significant. There was no death among vaccinated cases. Conclusion: Vaccination coverage were very low, this needs to improve. Vaccine was significantly reduces the severity of infection. It is recommended to vaccinate all eligible population as early as possible which will help in reducing severe and hospitalized cases and ultimately reducing the impact of Covid-19 pandemic. © 2022, MedSci Publications. All rights reserved.