No abstract

During this pandemic circumstance of social removing has become a standard general wellbeing mediation around the globe. Through social separating, wearing the face mask and try not to be in the group can slow the spread of Covid-19 illness. This survey is focused to inspect whether the people in a public maintains social distancing. It also checks whether every individual is wearing face mask.If both are not done, an alert is given to the public for maintain the social distance and it detect whether the individual is wearing mask or not. Applying deep learning algorithm to maintain social distancing in public place through video analytics technology.

Context: COVID-19 pandemic had over the past months grown to disastrous proportions and had stretched the healthcare facilities across the globe to their limit.Jumbo centres not only helped in increasing the availability of beds for Covid patients, but also helped in de-cluttering the load on tertiary centres. Aim: Clinical and epidemiological profile of patients who received treatment at the MCGM jumbo covid facility at Mumbai. Setting and design:The current study is a retrospective, observational analysis of epidemiological features, clinical manifestations and laboratory and radiographic investigations of patients admitted at the DCHC between June 1st 2020 to August 31st 2020.Methods and Material: Patients from June 2020 to August 2020 at DCHC were enrolled in the study.All patients with positive RTPCR, were divided according to symptomatology and classified into Mild,Moderate,Severe. Statistical analysis used:Data was entered in Excel spreadsheet and statistical analysis was done by using SPSS software version 19. Results: Out of 3977 cases,1620 (40.7%) cases were mild cases,1269 (31.9%) moderate cases and 1088 (27.4%) severe cases.The age amongst mild cases (50.78 ± 14.56 years) was higher as compared to moderate (48.23 ± 15.63 years) and severe cases (47.18 ± 15.53 years) and the difference between all the three groups was statistically significant. Conclusion: DCHC management helped in formulating protocols and with advances in the infrastructure, led to better management with less transfer and helped in preparing for second wave