<p>Evidence exists for the airborne transmission of contagious pathogens
such as SARS-CoV-2, influenza A virus and <i>Mycobacterium</i> <i>tuberculosis</i> in indoor environments.
These pathogens are carried in the respiratory droplets and transmitted through
airborne route to infect individuals. An important element in risk
assessment for pathogenic bioaerosol exposure is a determination of the inhaled
deposited dose rate – the number of deposited pathogenic
particles per minute – received by each respiratory region
and the fractional reduction of dose rate by different material
facemasks. This paper presents an aerosol physics-based modeling
framework to estimate the fractional reduction of regional
dose rate in diverse indoor healthcare environments. The
fractional reduction of dose rate is a useful metric to evaluate the
facemask effectiveness in reducing the inhaled dose rate. Data extraction of pathogenic
bioaerosol size distributions and size-dependent facemask filtration
efficiency curve combined with deposition fraction model become the baseline to
calculate the fractional reduction of dose rate by 10 different facemasks.
Facemask leakage is also considered for the realistic representation of its
impact on reduction fraction as current studies focus on mask material
filtration efficiency. This analysis considers how the fractional reduction of
dose rate is influenced by the pathogenic bioaerosol size
distribution, age-dependent respiratory parameters, age-specific
deposition fraction, facemask filtration efficiency and mask leakage.
Different factors drove variations in the reduction fraction of various
sized-pathogenic bioaerosols received by each respiratory region for each age
group. This framework can be a useful tool for decision-makers in evaluating
the mask’s effectiveness in reducing deposition of pathogenic bioaerosols.</p>
| Identifer | oai:union.ndltd.org:purdue.edu/oai:figshare.com:article/17104334 |
| Date | 03 December 2021 |
| Creators | Jun Ho Kim (11773106) |
| Source Sets | Purdue University |
| Detected Language | English |
| Type | Text, Thesis |
| Rights | CC BY 4.0 |
| Relation | https://figshare.com/articles/thesis/THE_EFFECT_OF_FACEMASK_TYPES_ON_THE_INHALED_DEPOSITED_DOSE_RATE_OF_PATHOGENIC_BIOAEROSOLS_IN_MEDICAL_FACILITIES/17104334 |
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