Choosing a Proper Face Mask during COVID-19 Pandemic - Issues and Challenges

2021 ◽  
Author(s):  
Devinder Pal Singh
Keyword(s):  
2021 ◽  
Author(s):  
Robin Jerome Reyes ◽  
Geosef Viktor Uy ◽  
Gabriel Nicolas Minamedez ◽  
Macario Cordel

Author(s):  
Susan John ◽  
Suremya A. Subrahmanian ◽  
Rina T. Xavier

Background: The recent COVID-19 pandemic has highlighted the relevance of following hygiene practices across all sectors of healthcare workers. Disparities in the correct practices among clinical and para clinical cadres of HCWs predispose to increased risk of infection. A survey was conducted to assess the hand and respiratory hygiene practices across the hospital.Methods: A cross sectional survey was conducted through a self-administered questionnaire across an online platform with questions on hand hygiene, mask and surface contamination related practices. Staff were grouped as clinical and para clinical for comparison of these practices.Results: Among the 501 respondents, 83.4% were females with a mean age of 30.78±8.48 years. Nursing staff were the majority (57.88%) followed by nonclinical and para clinical staff (20.77%). Of the study population, 96.6% performed hand wash and 97.2% refrained from giving handshakes in the previous hour. Over 60% maintained proper face mask practices. Undoing the lower tie of the mask first, was answered by 76.67% while 7.2% felt the sequence was irrelevant. Touching common surfaces were avoided by 46.3% of them, while 95% immersed their hospital attire in soap and water for 15 minutes. It was seen that a greater proportion of clinical staff had better practices when compared to para clinical and the difference statistically significant. There was no significant variation of practices with age.Conclusions: Focussed monitoring and motivation can help in improving hygiene practices among all cadres of HCWs.


2020 ◽  
Vol 7 (1) ◽  
pp. 27-32
Author(s):  
Nafisa Abedin ◽  
Kazi Nabila Bushrah ◽  
Muhit Reza Md Muktadir ◽  
Raisa Abedin Disha ◽  
Saumitra Chakravarty

Rate of spread of SARS-CoV-2 and number of relevant deaths continue to elevate as the time elapses since its first outbreak. With no readily available curative treatment neither any effective vaccine till now to prevent the infection, practicing personal protection measures remain the only effective way to stay protected from its attack. Those who are directly exposed to the care of any confirmed or suspected COVID-19 patient, including the health care workers and caregivers, have been advised by the World Health Organization (WHO) and Centre for Disease Control and Prevention (CDC) to wear proper face masks or respirators following the guidelines. Transmission of corona virus occurs through respiratory droplets, close personal contact as well as touching stuff or surfaces polluted by the viral particles. However, several studies have already proven the effectiveness of using various face masks, according to the circumstances, in preventing the dissemination of COVID-19. Bangladesh Journal of Infectious Diseases 2020;7(1):27-32


Author(s):  
Dr. L. Srinivasan

With covid-19 being on the Rise we needed an efficient way to take care of the growing coronavirus cases. Various Tools and techniques are used to curb the spread of the virus this project aims to develop an application that helps in detecting and identifying the individuals that are not wearing a proper face mask when out in public. The photograph is taken and uploaded there is a huge data base of individual's information for example their name, semester, identification number, university seat number, branch etc. the photographs are run through the database to identify the persons without wearing a mask using facial recognition in this application can be very effectively used to curb the cases of Corona since it identifies the mask defaulters and thus we can help in controlling the infection and the spread of the virus and save many lives.


2020 ◽  
Vol 19 (2) ◽  
pp. 186-193
Author(s):  
Woo-Taeg Kwon ◽  
◽  
Min-Jae Jung ◽  
Bum-Soo Kim ◽  
Woo-Sik Lee ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document