A novel predictive model for capturing threats for facilitating effective social distancing in COVID-19

Social distancing is one of the simple and effective shields for every individual to control spreading of virus in present scenario of pandemic coronavirus disease (COVID-19). However, existing application of social distancing is a basic model and it is also characterized by various pitfalls in case of dynamic monitoring of infected individual accurately. Review of existing literature shows that there has been various dedicated research attempt towards social distancing using available technologies, however, there are further scope of improvement too. This paper has introduced a novel framework which is capable of computing the level of threat with much higher degree of accuracy using distance and duration of stay as elementary parameters. Finally, the model can successfully classify the level of threats using deep learning. The study outcome shows that proposed system offers better predictive performance in contrast to other approaches.

Automatic Facial Mask Rule Violation Detection using Keras & Tensorflow to Limit COVID-19

COVID-19 is a pandemic disease that spread by itself coming in the contact of people. It was initially started from China and now it has been spread all over the world and many casualties have been occurred. Social distancing commonly known as physical distancing is a non-pharmaceutical approach through which it can be reduced. But social distancing only works when people started wearing mask because it can spread by sneezing even having distance among people. So wearing mask is mandatory to stop spreading this virus at its possible extent. In this paper, it has been intended to identify the people who are wearing mask or not. By the help of CCTV camera it can be recognized at the entrance of various public places such as mall, airport, railway station, mart and many more. If facial mask can be recognized effectively with high level of accuracy then it can become mandatory for people who are violating the rules. The proposed system uses Keras and Tensorflow model for identifying whether people are following the rule or not. Tensorflow is a deep learning methodology through which facial mask can be detected with all kind of situations. Proposed system is able to classify whether a person wear a mask or not, it is also able to identify whether people incorrectly wearing mask i.e. partial wearing. It is mandatory to identify whether people are properly using the mask or not. System identify this kind of situation and classified them accordingly. System uses hybrid technique by combining two algorithms i.e. keras and tensorflow. By combining both the systems it can be identified more precisely to identify the rule violations. Keywords: COVID-19, Facial Mask, Convolutional Neural Network, Classifiers, Machine Learning, Image Processing, Pattern Recognition.

Impact of COVID 19 on differently-abled children and their parents: A research review

Current Covid -19 pandemic has disrupted life in every corner of the world and will likely affect those children with preexisting disabilities. About 40% of differently-abled students are planning to drop out of schools because of difficulties they are facing in online education. The social distancing measures implemented by many countries have caused social isolation among children and had resulted in increased anxiety; stress and relapse of preexisting issues. This study aimed a) To Review the impact of the Covid-19 pandemic on differently-abled children and their parents b) Discuss alternative measures for delivering health services for differently-abled children A literature review through online sources of the database. Studies published from January 2020 up to October 2021 where included The review revealed that lack of socialization due to social distancing creates anxiety, stress, and depression among children and their parents. As schools have been suspended children with disabilities were not able to practice their learned skills which they attained through special education. Tele-medicine and Tele-rehabilitation activities may help to lower the prevalence of mental health issues among children and their parents Everyday life of individuals across the globe has been severely affected due to the covid 19 pandemic. Amidst this, it becomes important to keep children with physical and mental disabilities not only physically safe but also looks after their psychological and emotional well-being.

Associations Between Physical Activity, Affect Regulation Difficulties, and Mental Health Among Canadian Adolescents at Two Different Points of the COVID-19 Pandemic

Although physical activity declined with social distancing measures and stay-at-home orders during the COVID-19 pandemic, youth who engaged in more physical activity experienced fewer mental health problems. If and how physical activity maintained its protective role throughout the ongoing pandemic remains unclear. This study models associations between three types of physical activity (indoor, outdoor, with parents), affect regulation, and anxious and depressive symptoms in two adolescent samples (W1: Summer 2020; W2: Winter 2020/21).

It runs in the family: parental influence on adolescents’ compliance with social distancing measures during Covid-19 lockdowns

Compliance with public health measures of adolescents who are often unfairly portrayed as spreaders of the Coronavirus is essential for controlling the pandemic. But does adolescents’ compliance develop independently from their parents? Using nationally representative longitudinal data and cross-lagged Structural Equation Panel Models I study compliance with social distancing measures of 6,754 triplets that comprise the adolescent child (age 19), their mother, and father during two national lockdowns in the UK. Results show that adolescents have the lowest and their mothers have the highest levels of compliance, and compliance generally drops over time. Moreover, parents, particularly mothers have significant influence on their adolescent child’s compliance. The child also has, albeit smaller effects on their parents’ compliance. Parental influence on adolescents’ compliance documented here thus redistributes some of the responsibility off adolescents towards all generations and calls for public health policies and campaigns that consider these family dynamics.