DocumentCode :
1908883
Title :
Incorporating healthcare systems in pandemic models
Author :
Lizon, Natalia E. ; Aleman, Dionne M. ; Schwartz, Brian
Author_Institution :
Dept. of Mech. & Ind. Eng., Univ. of Toronto, Toronto, ON, Canada
fYear :
2010
fDate :
5-8 Dec. 2010
Firstpage :
2230
Lastpage :
2236
Abstract :
There are several models used to predict the spread of disease in a pandemic, but few, if any, incorporate the effect of healthcare systems in preventing propagation of the disease. In areas where healthcare is easily available to the general public (specifically, countries with universal healthcare), the ability of infected individuals to receive rapid treatment should impact disease spread. Additionally, the presence of a pandemic will result in an increased load on the healthcare system as infected individuals seek medical attention at hospitals and from their family doctors. We modify an existing non-homogeneous, agent-based simulation pandemic disease spread model to incorporate a public healthcare system in a pandemic influenza simulation on the Greater Toronto Area, Ontario, Canada. Results show that healthcare availability significantly significantly increases disease spread due to increased contacts within the population. We also find that the creation of flu centers decreases flu-related deaths and decreases hospital admissions.
Keywords :
diseases; emergency services; health care; hospitals; medical administrative data processing; patient treatment; Canada; Greater Toronto Area; Ontario; agent-based simulation; disease spread; family doctors; flu centers; flu-related deaths; general public; healthcare systems; hospital admissions; hospitals; infected individuals; pandemic influenza simulation; pandemic models; rapid treatment; Computational modeling; Diseases; Hospitals; Load modeling; Markov processes; Probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Simulation Conference (WSC), Proceedings of the 2010 Winter
Conference_Location :
Baltimore, MD
ISSN :
0891-7736
Print_ISBN :
978-1-4244-9866-6
Type :
conf
DOI :
10.1109/WSC.2010.5678921
Filename :
5678921
Link To Document :
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