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1.
Medical Science ; 25(117):3064-3071, 2021.
Article in English | Web of Science | ID: covidwho-1893921

ABSTRACT

Introduction: COVID-19 is probably the most recent example of an unavoidable illness the world is facing. The basic knowledge regarding the disease affects the perception of risk of acquiring the illness and using precautionary practices to prevent it. Objective: Study was done with an aim to assess the basic knowledge, risk perception and preventive precautions used by the residents regarding COVID-19. Method: An online cross sectional survey was done on 328 residents selected via convenience sampling. Tools used were questionnaire to assess knowledge, Risk perception Scale and questionnaire to assess preventive actions. Tools for data collection were sent to the participants using WhatsApp or email. Result: Regarding knowledge, 60.4% (198) of the residents had moderate knowledge;36.6% participants had adequate knowledge and 3% were having poor knowledge. Regarding Risk perception, 15.5% participants perceived that they are at no risk of having COVID 19 and 32.0% perceived high risk of having COVID 19 as compared to HIV/AIDS for which 7.9% participants perceived no risk of acquiring HIV/AIDS and 68.6% participant reported high risk of acquiring HIV/AIDS. Majority of residents took measures to prevent the spread of Covid-19. Conclusion: Having moderate to adequate knowledge led the participant to follow necessary precautionary actions and thus prevent getting infected with COVID -19. So, we can say that equilibrium is maintained and there is no dread of COVID -19. This level of knowledge also led the residents to practice most of the preventive actions in their day to day life to prevent COVID -19 infections.

2.
Medical Science ; 25(117):2885-2890, 2021.
Article in English | Web of Science | ID: covidwho-1893920

ABSTRACT

Background: COVID-19 poses a great challenge to the global health Care system all over the world. The contribution of your frontline worker toward defeating the pandemic is immeasurable on the other hand the health care professional also burdens up and faces disturbance in the mental and physical health. Methodology: Study was conducted with an objective to assess the mental health and coping strategies used by health professionals during COVID-19 Pandemic. A cross sectional survey design was used and sample was collected by Snowball sampling technique from different state and union territories of India. A total 106 healthcare professionals responded and enrolled themselves in the study. Result: in present study most of the participants 53(50.0%) reported moderate depression, 53(50.0%) moderate anxiety and 49 (46.2%) had mild stress. The data analysis reported that maximum numbers of participants had access to psycho-educational material like leaflet, brochure and books provided by the institution (60.4%) compared to (39.6%) who did not get this privilege, next, majority of the participant (76.4%) had availability of resources like internet, TV, newspaper, social media etc. More than half of the participants were able to avail counselling services (55.7%), psychotherapy (63.2%) etc. Conclusion: This pandemic has led to anxiety, stress, depression and other mental health issues among the people especially in health care profession. Mental health problems like stress, anxiety and depression can adversely affect the physical health of the health professionals as well as their competency to care for sick.

3.
4th Biennial International Conference on Nascent Technologies in Engineering, ICNET 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1365002

ABSTRACT

This is the time of pandemic COVID-19. There is a need of social distancing. Thus, it is a better way to have automatic systems. One of the important medical symptoms being detected is fever. So the aim of this paper is to develop a simple approach for the automatic thermal screening of human beings where mixed population of humans and animals together. This paper proposes the use of the Convolutional Neural Networks for the Human Detection and to send the command to the distance measurement unit and IR (Infrared) sensor to detect the temperature with no error. This work has been done with MATLAB, Arduino Uno, Webcam, Ultrasonic Sensor and IR sensor. © 2021 IEEE.

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