scholarly journals Proposal of a Mask and Its Performance Analysis with CFD for an Enhanced Aerodynamic Geometry That Facilitates Filtering and Breathing against COVID-19

Fluids ◽  
2021 ◽  
Vol 6 (11) ◽  
pp. 408
Author(s):  
Boris Miguel López-Rebollar ◽  
Abad Posadas-Bejarano ◽  
Daury García-Pulido ◽  
Adrián Torres-Maya ◽  
Carlos Díaz-Delgado
Keyword(s):  
Health Care ◽  
Performance Analysis ◽  
Cfd Simulation ◽  
Public Places ◽  
Effective Measure ◽  
The World ◽  
The Face ◽  
Flow Through ◽  
Bidirectional Flow ◽  
Airtight Seal

As a result of the recent events associated with the SARS-CoV-2 around the world, there has been a need for research to strengthen health care. The use of masks or respirators has been an effective measure, reducing the risk of contagion caused by the spread of the virus in public places. Currently, there are masks that retain up to 99% of particles >0.3 microns; however, they lack an airtight seal with the face, leading to discomfort and poor protection in conditions without social distancing and areas without ventilation. The device proposed in this study includes a geometric design of static valves with convergent spirals and interior baffles that promotes enhanced aerodynamics with bidirectional flow. According to the analysis and CFD simulation of the proposed reusable, washable, and economic mask and valve system for breathing, coughing, and sneezing events, enhanced air exchange could be maintained, facilitating a higher inhalation flow through the side of the mask (62%) and a higher exhalation through the front of the mask (74%), thereby avoiding the recirculation of the flow to the interior of the mask. The inclusion of filters with KN95 characteristics in the inlets and outlets maintains velocities below 10 cm/s, reducing the probability of infection.

scholarly journals Use of face mask in COVID-19 pandemic-a review

2021 ◽  
Vol 9 (12) ◽  
pp. 3750
Author(s):  
Santosh Kumar Swain ◽  
Pragnya Paramita Jena
Keyword(s):  
Health Care ◽  
Health Care Workers ◽  
Virus Disease ◽  
Minimum Cost ◽  
Face Mask ◽  
Medical Community ◽  
Care Workers ◽  
Surgical Masks ◽  
The World ◽  
The Face

The current novel corona virus disease 2019 (COVID-19) is a highly infectious disease of the respiratory tract and rapidly spreading all over the world in short span of time. In current COVID-19 pandemic, use of the face mask is becoming usual and ubiquitous for both health care workers and public individuals. Wearing face mask is one of the non-pharmaceutical interventions which need minimum cost and provide dramatic response for preventing the COVID-19 infection. Limited availability of the vaccine and inadequate supply of therapeutic options, face mask use is an important part for public health measures for restricting the COVID-19 spread. Regardless of the debate among medical community regarding global face mask production shortage, a greater number of countries in the world are moving ahead with recommendations or mandates for using face mask in public. As currently global shortage of N95/FFP2 respirators and surgical masks for use by health care workers in the hospitals, simple cloth masks will act as a pragmatic solution for the use of the public. General public often use the surgical mask or even filtering facepiece (FFP) masks irrespective of their need, resulting unnecessary shortage for needy individuals those are exposed to the patients or those are health care workers. So, this review article will clarify the indication of the different types of masks and their rational use in the current COVID-19 pandemic.

Foreword

2002 ◽  
Vol 96 (1) ◽  
pp. 1-4 ◽  
Author(s):  
José E. Alvarez
Keyword(s):  
United States ◽  
Health Care ◽  
World Trade ◽  
The United States ◽  
Environmental Concerns ◽  
Labor Rights ◽  
Vast Array ◽  
The World ◽  
The Face ◽  
Cautionary Tales

A burgeoning literature addresses the links between the World Trade Organization and ostensibly “nontrade” issues, including corruption and bribery, health care (such as tobacco control), human rights generally or labor rights in particular, diverse environmental concerns, issues of “culture,” and even the fight against terrorism. Current WTO scholarship, at least that published in the United States, seems to be obsessed with exploring the outer boundaries of the trade regime. In the face of a vast array of potential recipes for linkage to particular nontrade issues, as well as cautionary tales against such linkage, what is to be gained from revisiting these questions?

scholarly journals Covid-19 Mask Detection

2021 ◽  
Vol 10 (2) ◽  
pp. 1319-1323
Keyword(s):  
Face Mask ◽  
Classification Model ◽  
World Health ◽  
Live Streaming ◽  
Public Places ◽  
The World ◽  
The Face ◽  
Health Organization ◽  
The Right ◽  
Facial Images

The corona epidemic poses a global health problem and therefore effective preventive measures are worn in public places,according to the World Health Organization (WHO). The COVID-19 epidemic has forced governments around the world to impose restrictions on the transmission of the virus. Reports show that wearing the right face while in public places and at work clearly reduces the risk of transmission. An effective and economical way to use machine learning is to create a safe environment for device setup. A hybrid model using the depth of the face mask detection machine will be introduced. The face mask detection databasecontains a mask and in addition to the facial images, we will use OpenCV to perform real-time facial detection from live streaming via our webcam. We will use the database to create a COVID-19 face mask detector from a computer view using Python, OpenCV, and Tensor Flow and Cameras. We aim to determine whether the person in the picture/video is wearing a face mask or not with the help of computer vision and in-depth reading and to show the same with caution. Steps to modeling are data collection, pre-processing, data classification, model testing, and modeling

scholarly journals Face Mask Detection System

2021 ◽  
Vol 9 (VII) ◽  
pp. 1400-1402
Author(s):  
Yatharth Khansali
Keyword(s):  
Real Time ◽  
Detection System ◽  
Face Mask ◽  
World Health ◽  
Public Places ◽  
The World ◽  
The Face ◽  
Time Requirements ◽  
Health Organization ◽  
Protective Mask

COVID-19 pandemic has affected the world severely, according to the World Health Organization (WHO), coronavirus disease (COVID-19) has globally infected over 176 million people causing over 3.8 million deaths. Wearing a protective mask has become a norm. However, it is seen in most public places that people do not wear masks or don’t wear them properly. In this paper, we propose a high accuracy and efficient face mask detector based on MobileNet architecture. The proposed method detects the face in real-time with OpenCV and then identifies if it has a mask on it or not. As a surveillance task, it supports motion, and is trained using transfer learning and compared in terms of both precision and efficiency, with special attention to the real-time requirements of this context.

scholarly journals Efficient Two Stage Identification for Face mask detection using Multiclass Deep Learning Approach

2021 ◽  
Vol 3 (2) ◽  
pp. 107-121
Author(s):  
R Dhaya
Keyword(s):  
Deep Learning ◽  
Binary Classification ◽  
Face Mask ◽  
World Health ◽  
Survey Study ◽  
Identification System ◽  
Two Stage ◽  
Public Places ◽  
The World ◽  
The Face

The World Health Organization (WHO) considers the COVID-19 Coronavirus to be a global pandemic. The most effective form of protection is to wear a face mask in public places. Moreover, the COVID-19 pandemic prompted all the countries to set up a lockdown to prevent viral transmission. According to a survey study, the use of facemasks at work decreases the chances of fast transmission. If the facemasks are not used or are worn incorrectly, it contributes to the third and fourth waves of the corona virus spreading throughout the world. This motivates us to conduct an efficient investigation of the face mask identification system and monitor people, who use suitable face mask in public places. Deep learning is the most effective approach for detecting whether or not a person is wearing a face mask in a crowded area. Using a multiclass deep learning technique, this research study proposes an efficient two stage identification (ETSI) for face mask detection. Whereas, the binary classification does not offer information about face mask detection and error. The proposed approach employs CNN's "ReLU" activation function to detect the face mask. Furthermore, in the current pandemic crisis, this research article offers a very efficient and precise approach for identifying COVID-19. Precision has increased as a result of the employment of a multi-class abbreviation in the final output.

scholarly journals Face-touching behavior as a possible correlate of mask-wearing: A video observational study of public place incidents during the COVID-19 pandemic

2020 ◽  
Author(s):  
Lasse Suonperä Liebst ◽  
Peter Ejbye-Ernst ◽  
Marijn de Bruin ◽  
Josephine Thomas ◽  
Marie Rosenkrantz Lindegaard
Keyword(s):  
The Netherlands ◽  
Observational Study ◽  
Negative Association ◽  
Secondary Outcome ◽  
Outcome Analysis ◽  
Public Place ◽  
Public Places ◽  
The Public ◽  
The World ◽  
The Face

Most countries in the world have recommended or mandated face masks in some or all public places during the COVID-19 pandemic. However, mask-wearing has been thought to increase people’s face-touching frequency and, thus, the risk of self-inoculation. Across two studies, we video observed the face-touching behavior of members of the public in Amsterdam and Rotterdam (the Netherlands) during the first wave of the pandemic. Study 1 (n = 383) yielded evidence in favor of the absence of an association between mask-wearing and face-touching (defined as touches of face or mask), and Study 2 (n = 421) replicated this result. Secondary outcome analysis of the two studies—separately and with pooled datasets—found a robust negative association between mask-wearing and hand contacts with the face and t-zone (i.e., eyes, nose, and mouth). Our results alleviate the concern that mask-wearing has an adverse face-touching effect.

scholarly journals IMPACT OF COVID-19 ON SURGICAL ACTIVITY OF AN ORTHOPAEDIC SURGERY AND TRAUMATOLOGY SERVICE IN A SECONDARY HOSPITAL

2021 ◽  
Vol 108 (Supplement_3) ◽  
Author(s):  
A García Arias ◽  
L Lanuza Lagunilla ◽  
L García Cuello ◽  
P Suárez-Anta Rodríguez ◽  
A Camblor Valladares ◽  
...  
Keyword(s):  
Health Care ◽  
Retrospective Study ◽  
Orthopedic Surgery ◽  
Orthopaedic Surgery ◽  
Public Places ◽  
Secondary Center ◽  
Injury Mechanisms ◽  
The World ◽  
Secondary Outcomes ◽  
Secondary Hospital

Abstract INTRODUCTION COVID-19 has changed the behavior of health care in the world, and consequently, it has affected surgical activity. Related to orthopedic surgery and traumatology, a decrease of up to a third has been observed according to published series. But a secondary center may need more adjustments than a first level one. MATERIAL AND METHODS Retrospective study, comparing data from the first Sate of Alarm (03/14/20 – 06/21/20) with the same period of 2019. The number of surgeries, hospitalizations and diagnoses were selected as primary outcomes, and injury mechanisms, kind of surgeries and differences in time to surgery as secondary outcomes. RESULTS Surgical activity went from 462 cases in 2019 to 190 cases in 2020 (59% less). The main reason for intervention during the State of Alarm was fractures, with 129 cases out of the total (compared to 167 in 2019); being orthopedics in 2019 (178 cases compared to 40).The most frequent fracture in both groups was the hip fracture, with 71 cases in 2019 compared to 59 in 2020.Accidents on public places, associated with sports practice and related to traffic, were reduced by 1/3. CONCLUSIONS A more striking reduction in surgical activity is observed than that reflected in other series, probably due to the case of programmed surgery. Perhaps in centers with greater capacity this measure is not that necessary. In the same circumstances, up to 50% of the ORTR staff could be used to treat other pathologies safely.

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