Respiratory infection in the hospital setting : modeling transmission patterns and intervention strategies using multitype contact networks
department or school: Medicine, Faculty of
department or school: Population and Public Health (SPPH), School of
data provider: DSpace
degree campus: UBCV
creator: Gauld, Jillian
issued: 2014-08-28T21:45:41Z
issued: 2014
related degree: Master of Science - MSc
degree grantor: University of British Columbia
description: Respiratory infections in the hospital setting are a burden to patients, healthcare workers and the surrounding community. The patterns of disease spread in hospital settings are difficult to capture, due to the heterogeneous rates of contact among healthcare workers (HCWs). Patterns of healthcare worker contact were analyzed for a large Canadian hospital. A novel tool was developed to capture the heterogeneous patterns in contact in hospital settings, and data from the Canadian hospital was used to inform a realistic contact network. The spread of respiratory infections with reproductive numbers approximating SARS, influenza, and measles were simulated on the network, and control strategies including vaccination, transmission reduction, and social distancing were tested. The efficacies of measures were compared between subsets of the population, which were divided by occupation and contact rate. The results of this study found that nurses are in the most contact with other healthcare workers, but the least mobile. Additionally, “other” healthcare workers such as respiratory therapists are at a high likelihood for superspreading events in the hospital setting. This study also identified locations that would reach a large subset of the hospital, which could be used for hand-washing stations or other interventions. Simulations suggest targeting the most highly connected HCW occupations for vaccination, transmission reduction measures, and social distancing may lead to more effective disease containment in outbreak scenarios, and a reduction in resources needed. The results of this study can be used to inform policy decisions, and direct future research towards targeted control strategies in hospital settings.
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/50259
note: RESPIRATORY INFECTION IN THE HOSPITAL SETTING: MODELING TRANSMISSION PATTERNS AND INTERVENTION STRATEGIES USING MULTITYPE CONTACT NETWORKS by Jillian Gauld BScH, Queen’s University, 2012 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE in The Faculty of Graduate and Postdoctoral Studies (Population and Public Health) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) August 2014 © Jillian Gauld, 2014 ii Abstract Respiratory infections in the hospital setting are a burden to patients, healthcare workers and the surrounding community. The patterns of disease spread in hospital settings are difficult to capture, due to the heterogeneous rates of contact among healthcare workers (HCWs). Patterns of healthcare worker contact were analyzed for a large Canadian hospital. A novel tool was developed to capture the heterogeneous patterns in contact in hospital settings, and data from the Canadian hospital was used to inform a realistic contact network. The spread of respiratory infections with reproductive numbers approximating SARS, influenza, and measles were simulated on the network, and control strategies including vaccination, transmission reduction, and social distancing were tested. The efficacies of measures were compared between subsets of the population, which were divided by occupation and contact rate. The results of this study found that nurses are in the most contact with other healthcare workers, but the least mobile. Additionally, “other” healthcare workers such as respiratory therapists are at a high likelihood for superspreading events in the hospital setting. This study also identified locations that would reach a large subset of the hospital, which could be used for hand-washing stations or other interventions. Simulations suggest targeting the most highly connected HCW occupations for vaccination, transmission reduction measures, and social distancing may lead to more effective disease containment in outbreak s…
has type: Thesis/Dissertation
date issued: 2014-11
is shown at: 10.14288/1.0167597
language: eng
degree discipline: Population and Public Health
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivs 2.5 Canada
rights URI: http://creativecommons.org/licenses/by-nc-nd/2.5/ca/
scholar level: Graduate
type: Text
identifier URI: http://hdl.handle.net/2429/50259