Estimating Populations at Risk for Disaster Preparedness and Response
Garb Jane L,
Cromley Robert G. and
Wait Richard B.
Additional contact information
Garb Jane L: Baystate Health
Cromley Robert G.: University of Connecticut
Wait Richard B.: Baystate Health
Journal of Homeland Security and Emergency Management, 2007, vol. 4, issue 1, 19
Abstract:
This paper presents a practical approach to the problem of estimating the size and location of the population likely to be affected in a natural or man-made (bioterrorist) disaster. It discusses the currently available sources of population data and details several methods for converting this data into geographic units appropriate for disaster preparedness and response. It also demonstrates how to estimate affected populations on-the-fly, in response to a disaster, and how to maintain updated data in preparation for future unplanned events. Examples implementing these methods are given, and their utility is compared in different situations.
Keywords: disaster preparedness and response; areal interpolation; population; census; daytime populations; bio-terrorism; homeland security; emergency preparedness (search for similar items in EconPapers)
Date: 2007
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.2202/1547-7355.1280 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.
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:bpj:johsem:v:4:y:2007:i:1:p:19:n:4
Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/jhsem/html
DOI: 10.2202/1547-7355.1280
Access Statistics for this article
Journal of Homeland Security and Emergency Management is currently edited by Irmak Renda-Tanali
More articles in Journal of Homeland Security and Emergency Management from De Gruyter
Bibliographic data for series maintained by Peter Golla ().