Statistical models of the demand for emergency medical services in an urban area

T.O. Kvalseth and J.M. Deems

American Journal of Public Health, 1979, vol. 69, issue 3, 250-255

Abstract: First- and second-order statistical regression models are presented for the Emergency Medical services (EMS) demand in an urban area as it relates to various socioeconomic, demographic, and other characteristics of the areas. Individual models are formulated for different types of medical emergencies with the city of Atlanta, GA, serving as the data base. These models are generally shown to provide excellent fits to the empirical data.

Date: 1979
References: Add references at CitEc
Citations: View citations in EconPapers (7)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:aph:ajpbhl:1979:69:3:250-255_6

Access Statistics for this article

American Journal of Public Health is currently edited by Alfredo Morabia

More articles in American Journal of Public Health from American Public Health Association
Bibliographic data for series maintained by Christopher F Baum ().