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An Agent-based Model for Simulating Travel Patterns of Stroke Patients

Authors:
Abdulrahman Alassadi
Fabian Lorig
Johan Holmgren

Keywords: Agent-based Social Simulation; Synthetic Population; Population Generation; Mobile Stroke Unit

Abstract:
For patients suffering from a stroke, the time until the start of the treatment is a crucial factor with respect to the recovery from this condition. In rural regions, transporting the patient to an adequate hospital typically delays the diagnosis and treatment of a stroke, worsening its prognosis. To reduce the time to treatment, different policies can be applied. This includes, for instance, the use of Mobile Stroke Units (MSUs), which are specialized ambulances that can provide adequate care closer to where the stroke occurred. To simulate and assess different stroke logistics policies, such as the use of MSUs, a major challenge is the realistic modeling of the patients. In this article, we present an approach for generating an artificial population of stroke patients to simulate when and where strokes occur. We apply the model to the region of Skåne, where we investigated the relevance of travel behavior on the spatial distribution of stroke patients.

Pages: 11 to 16

Copyright: Copyright (c) IARIA, 2021

Publication date: November 14, 2021

Published in: conference

ISBN: 978-1-61208-927-0

Location: Athens, Greece

Dates: from November 14, 2021 to November 18, 2021