Systems connectivity between social, cultural and economic factors and housing environments associated with TB transmission in slums
Ka Man Lai,
Zimuzo H. Ozuah,
Peter Williams and
Livia S. Piccinini
Journal of Environmental Planning and Management, 2012, vol. 55, issue 3, 355-367
Abstract:
Several studies have shown that the risk of tuberculosis (TB) infection in slums is high due to their overcrowded nature and deplorable housing conditions. This paper investigated a wider connectivity between housing environments and social, cultural and economic factors and used a system engineering approach to build a generic model to estimate the TB transmission risk and to facilitate the application of urban planning and engineering to improve the health of slums. Key factors were identified through literature review, while the Wells and Riley equation, which formulates the kinetics of TB transmission, was used to define the engineering parameters. A systems map was developed using a systems engineering tool, STELLA, enhancing visualisation and quantification of the impact these factors have on the housing performance.
Date: 2012
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/09640568.2011.601190 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:jenpmg:v:55:y:2012:i:3:p:355-367
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/CJEP20
DOI: 10.1080/09640568.2011.601190
Access Statistics for this article
Journal of Environmental Planning and Management is currently edited by Dr Neil Powe, Dr Ken Willis and George Bill Page
More articles in Journal of Environmental Planning and Management from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().