Revealing the Hidden Layers in an Environment: A Case Study of the Visualization of the Coronavirus Contamination and Navigation in a Hospital

Search for this publication on Google Scholar
Ebrahimi, A. (2021). Revealing the Hidden Layers in an Environment: A Case Study of the Visualization of the Coronavirus Contamination and Navigation in a Hospital. Unc Charlotte Electronic Theses And Dissertations.
Download PDF

Analytics

35 views ◎
9 downloads ⇓


Abstract

The current global pandemic experience has had significant influences on the health and economy of the entire world. Researchers around the world sought to understand the current situation and provide strategic solutions to protect the health of people in the community and reduce the damage and mortality. In this regard, this thesis attempts to develop a spatial spread model of COVID-19 within architectural spaces. It provides a method for evaluating the passages and the infection probability from traveling through the contaminated spaces, which have been divided into two categories, one category is the wide-open spaces and the other corridor-based spaces; These categories rely on various ways the developed algorithm is applied. The proposed model can be adopted to assess the existing systems as to the resistance to the infection. Furthermore can be applied to present more safe assistance in the navigation through an existing architectural setting. The model is subject to the discovery of epidemiological data and can be adjusted to reflect new epidemiological evidence.

Details
Author

Ebrahimi, Arghavan

Title

Revealing the Hidden Layers in an Environment: A Case Study of the Visualization of the Coronavirus Contamination and Navigation in a Hospital

Physical Description

1 online resource (169 pages) : PDF

Date

2021

Degree Granting Institution

University of North Carolina at Charlotte

Abstract

The current global pandemic experience has had significant influences on the health and economy of the entire world. Researchers around the world sought to understand the current situation and provide strategic solutions to protect the health of people in the community and reduce the damage and mortality. In this regard, this thesis attempts to develop a spatial spread model of COVID-19 within architectural spaces. It provides a method for evaluating the passages and the infection probability from traveling through the contaminated spaces, which have been divided into two categories, one category is the wide-open spaces and the other corridor-based spaces; These categories rely on various ways the developed algorithm is applied. The proposed model can be adopted to assess the existing systems as to the resistance to the infection. Furthermore can be applied to present more safe assistance in the navigation through an existing architectural setting. The model is subject to the discovery of epidemiological data and can be adjusted to reflect new epidemiological evidence.

Genre

masters theses

Subjects--Topics

Information technology
Design
Building

Degree

M.S.

Keywords

Augmented Reality
Computational Design
Coronavirus and COVID-19
Hospital Infection
Modeling and Simulation
Unity

Subject Area

Information Technology

Advisor(s)

Sauda, Eric

Committee Members

Papanikolaou , Dimitris
Zhang, Catty

Degree Note

Thesis (M.S.)--University of North Carolina at Charlotte, 2021.

Rights Statement

This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). For additional information, see http://rightsstatements.org/page/InC/1.0/.

Rights Holder Information

Copyright is held by the author unless otherwise indicated.

Identifier

Ebrahimi_uncc_0694N_12839

Permalink

http://hdl.handle.net/20.500.13093/etd:1968