Excellent Performance by Avoiding Microbial Contamination (EPBAMC): A New Portal and Model for Safety of Respirator Masks Approved by Bacterial Contamination Field Research

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Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Introduction

Over the past decades, billions of people on Earth have used respirator masks to prevent animal - to - human and human - to - human virus transmission. Recent research has shown the low risk of surface transmission of COVID - 19, which turned into a pa ndemic since January 2020. Social distancing and the use of masks indoors are the most important factors in breaking its transmission chain.

Material and Methods

However, the use of contaminated respirator masks can cause dangerous microbial and viral dis eases. By adding the factor “avoiding microbial contamination”, the proposed model, called “Excellent Performance by Avoiding Microbial Contamination (EPBAMC)”, improves the WHO’s three - factor optimal - performance model of the respirator masks. In this stud y, to evaluate the need to add the factor of “avoiding contamination”, samples of brand - new respirator masks were collected from several countries and their microbial contamination was carefully studied. The research method was such that the research steps were performed with highest accuracy rate and no double infection was created.

Results

By culturing in sterilized medium, the bacterial load of the respirator masks was studied and the results were analyzed. By performing different cultures, a variety of pathogenic microorganisms were identified on half of the respirator mask samples. Some brand - new respirator mask samples contained more than one pathogen. A very important issue was that bacteria were found in brand - new respirators distributed by pharmaci es that cause nosocomial infections and are resistant to antibiotics.

Conclusion

The results of this study made it necessary to review the standards of the production and distribution process and the procedures for controlling and inspecting respirator ma sks.

Language:
English
Published:
Frontiers in Health Informatics, Volume:11 Issue: 1, Winter 2022
Page:
103
https://www.magiran.com/p2480022