Surface interactions of aerosols and their impact on infectious disease transmission

Infection transmission has been a major health concern indoors. Exposure analysis and risk analysis are the fundamentals of effectively controlling and managing infection transmission, which requires a clear understanding of transmission mode. A significant fraction of airborne pathogens deposits on...

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Main Author: You, Siming
Other Authors: Wan Man Pun
Format: Theses and Dissertations
Language:English
Published: 2014
Subjects:
Online Access:https://hdl.handle.net/10356/61765
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-61765
record_format dspace
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Fluid mechanics
DRNTU::Engineering::Mathematics and analysis::Simulations
DRNTU::Engineering::Environmental engineering::Environmental pollution
spellingShingle DRNTU::Engineering::Mechanical engineering::Fluid mechanics
DRNTU::Engineering::Mathematics and analysis::Simulations
DRNTU::Engineering::Environmental engineering::Environmental pollution
You, Siming
Surface interactions of aerosols and their impact on infectious disease transmission
description Infection transmission has been a major health concern indoors. Exposure analysis and risk analysis are the fundamentals of effectively controlling and managing infection transmission, which requires a clear understanding of transmission mode. A significant fraction of airborne pathogens deposits onto surfaces. Some of these deposited pathogens could be resuspended by airflow or mechanical disturbances and become airborne again, leading to prolonged exposure risk via the airborne mode. Hence, pathogen resuspension can contribute significantly in indoor infection transmission. Understanding the impact of resuspension on infection transmission is crucial for a complete risk assessment scheme. This work intends to improve the current capability of modelling resuspension processes and explore the impact of the resuspension processes on infection transmission by developing a new risk assessment scheme. Two common types of particle resuspension process relevant to indoor environments were studied, i.e., airflow-induced particle resuspension (AIPR) and walking-induced particle resuspension (WIPR). In the case of AIPR, the particle resuspension in the ventilation duct such as that during a bioterrorist attack was considered. A corresponding model of particle concentration dynamics in the ventilation duct was developed based on the existing empirical resuspension models and was validated against the data of wind tunnel experiments. In the case of WIPR, a scaled resuspension chamber with a pair of model feet installed inside was fabricated to investigate the influence of various factors (e.g., flooring material, particle size, walking rate, relative humidity and mechanism) towards WIPR. The resuspension rates for WIPR were calculated based on the mass balance model, and the power law was applied to fit the resuspension rate data. The developed model of particle concentration dynamics in the ventilation duct with AIPR and the power law resuspension rate for WIPR were subsequently substituted into the mass balance models of indoor particle dynamics to develop a set of airborne and surface particle concentration models. Based on the concentration models, a set of inhalational exposure analysis models was developed. Then, a risk assessment scheme was proposed by plugging the exposure analysis into the dose response model. The influence of pathogen resuspension towards infection transmission was examined through two case studies using the developed risk assessment scheme, which generated meaningful insights towards the control and management of infection transmission indoors. Further effort was put to advance the theoretical AIPR model which has the potential to be used in exposure modelling in the future. A set of mean adhesion force (van der Waals force and capillary force) models was firstly developed. Then, an adhesion force distribution model was developed by integrating the RMS roughness distribution into the mean adhesion force models. Finally, a theoretical AIPR model considering the essential characteristics underlying the process (e.g., turbulent burst, adhesion force distribution, depletion of resuspendable particles and relative humidity) was developed based on the proposed adhesion force distribution model. The new theoretical model is able to predict the effect of humidity on AIPR, which greatly enhances the current capability of modelling AIPR.
author2 Wan Man Pun
author_facet Wan Man Pun
You, Siming
format Theses and Dissertations
author You, Siming
author_sort You, Siming
title Surface interactions of aerosols and their impact on infectious disease transmission
title_short Surface interactions of aerosols and their impact on infectious disease transmission
title_full Surface interactions of aerosols and their impact on infectious disease transmission
title_fullStr Surface interactions of aerosols and their impact on infectious disease transmission
title_full_unstemmed Surface interactions of aerosols and their impact on infectious disease transmission
title_sort surface interactions of aerosols and their impact on infectious disease transmission
publishDate 2014
url https://hdl.handle.net/10356/61765
_version_ 1761781878291955712
spelling sg-ntu-dr.10356-617652023-03-11T17:42:37Z Surface interactions of aerosols and their impact on infectious disease transmission You, Siming Wan Man Pun School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Fluid mechanics DRNTU::Engineering::Mathematics and analysis::Simulations DRNTU::Engineering::Environmental engineering::Environmental pollution Infection transmission has been a major health concern indoors. Exposure analysis and risk analysis are the fundamentals of effectively controlling and managing infection transmission, which requires a clear understanding of transmission mode. A significant fraction of airborne pathogens deposits onto surfaces. Some of these deposited pathogens could be resuspended by airflow or mechanical disturbances and become airborne again, leading to prolonged exposure risk via the airborne mode. Hence, pathogen resuspension can contribute significantly in indoor infection transmission. Understanding the impact of resuspension on infection transmission is crucial for a complete risk assessment scheme. This work intends to improve the current capability of modelling resuspension processes and explore the impact of the resuspension processes on infection transmission by developing a new risk assessment scheme. Two common types of particle resuspension process relevant to indoor environments were studied, i.e., airflow-induced particle resuspension (AIPR) and walking-induced particle resuspension (WIPR). In the case of AIPR, the particle resuspension in the ventilation duct such as that during a bioterrorist attack was considered. A corresponding model of particle concentration dynamics in the ventilation duct was developed based on the existing empirical resuspension models and was validated against the data of wind tunnel experiments. In the case of WIPR, a scaled resuspension chamber with a pair of model feet installed inside was fabricated to investigate the influence of various factors (e.g., flooring material, particle size, walking rate, relative humidity and mechanism) towards WIPR. The resuspension rates for WIPR were calculated based on the mass balance model, and the power law was applied to fit the resuspension rate data. The developed model of particle concentration dynamics in the ventilation duct with AIPR and the power law resuspension rate for WIPR were subsequently substituted into the mass balance models of indoor particle dynamics to develop a set of airborne and surface particle concentration models. Based on the concentration models, a set of inhalational exposure analysis models was developed. Then, a risk assessment scheme was proposed by plugging the exposure analysis into the dose response model. The influence of pathogen resuspension towards infection transmission was examined through two case studies using the developed risk assessment scheme, which generated meaningful insights towards the control and management of infection transmission indoors. Further effort was put to advance the theoretical AIPR model which has the potential to be used in exposure modelling in the future. A set of mean adhesion force (van der Waals force and capillary force) models was firstly developed. Then, an adhesion force distribution model was developed by integrating the RMS roughness distribution into the mean adhesion force models. Finally, a theoretical AIPR model considering the essential characteristics underlying the process (e.g., turbulent burst, adhesion force distribution, depletion of resuspendable particles and relative humidity) was developed based on the proposed adhesion force distribution model. The new theoretical model is able to predict the effect of humidity on AIPR, which greatly enhances the current capability of modelling AIPR. DOCTOR OF PHILOSOPHY (MAE) 2014-09-12T07:59:03Z 2014-09-12T07:59:03Z 2014 2014 Thesis You, S. (2014). Surface interactions of aerosols and their impact on infectious disease transmission. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/61765 10.32657/10356/61765 en 269 p. application/pdf