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Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data

With over 350,000 cases occurring each year, out-of-hospital cardiac arrest (OHCA) remains a severe public health concern in the United States. The correct and timely use of automated external defibrillators (AEDs) has been widely acknowledged as an effective measure to improve the survival rate of...

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Autores principales: Zhang, Jielu, Mu, Lan, Zhang, Donglan, Rajbhandari-Thapa, Janani, Chen, Zhuo, Pagán, José A., Li, Yan, Son, Heejung, Liu, Junxiu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557972/
https://www.ncbi.nlm.nih.gov/pubmed/37808120
http://dx.doi.org/10.3390/ijgi12030091
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author Zhang, Jielu
Mu, Lan
Zhang, Donglan
Rajbhandari-Thapa, Janani
Chen, Zhuo
Pagán, José A.
Li, Yan
Son, Heejung
Liu, Junxiu
author_facet Zhang, Jielu
Mu, Lan
Zhang, Donglan
Rajbhandari-Thapa, Janani
Chen, Zhuo
Pagán, José A.
Li, Yan
Son, Heejung
Liu, Junxiu
author_sort Zhang, Jielu
collection PubMed
description With over 350,000 cases occurring each year, out-of-hospital cardiac arrest (OHCA) remains a severe public health concern in the United States. The correct and timely use of automated external defibrillators (AEDs) has been widely acknowledged as an effective measure to improve the survival rate of OHCA. While general guidelines have been provided by the American Heart Association (AHA) for AED deployment, the lack of detailed instructions hindered the adoption of such guidelines under dynamic scenarios with various time and space distributions. Formulating the AED deployment as a location optimization problem under budget and resource constraints, we proposed an overlayed spatio-temporal optimization (OSTO) method, which accounted for the spatiotemporal heterogeneity of potential OHCAs. To highlight the effectiveness of the proposed model, we applied the proposed method to Washington DC using user-generated anonymized mobile device location data. The results demonstrated that optimization-based planning provided an improved AED coverage level. We further evaluated the effectiveness of adding additional AEDs by analyzing the cost-coverage increment curve. In general, our framework provides a systematic approach for municipalities to integrate inclusive planning and budget-limited efficiency into their final decision-making. Given the high practicality and adaptability of the framework, the OSTO is highly amenable to different healthcare facilities’ deployment tasks with flexible demand and resource restraints.
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spelling pubmed-105579722023-10-06 Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data Zhang, Jielu Mu, Lan Zhang, Donglan Rajbhandari-Thapa, Janani Chen, Zhuo Pagán, José A. Li, Yan Son, Heejung Liu, Junxiu ISPRS Int J Geoinf Article With over 350,000 cases occurring each year, out-of-hospital cardiac arrest (OHCA) remains a severe public health concern in the United States. The correct and timely use of automated external defibrillators (AEDs) has been widely acknowledged as an effective measure to improve the survival rate of OHCA. While general guidelines have been provided by the American Heart Association (AHA) for AED deployment, the lack of detailed instructions hindered the adoption of such guidelines under dynamic scenarios with various time and space distributions. Formulating the AED deployment as a location optimization problem under budget and resource constraints, we proposed an overlayed spatio-temporal optimization (OSTO) method, which accounted for the spatiotemporal heterogeneity of potential OHCAs. To highlight the effectiveness of the proposed model, we applied the proposed method to Washington DC using user-generated anonymized mobile device location data. The results demonstrated that optimization-based planning provided an improved AED coverage level. We further evaluated the effectiveness of adding additional AEDs by analyzing the cost-coverage increment curve. In general, our framework provides a systematic approach for municipalities to integrate inclusive planning and budget-limited efficiency into their final decision-making. Given the high practicality and adaptability of the framework, the OSTO is highly amenable to different healthcare facilities’ deployment tasks with flexible demand and resource restraints. 2023-03 2023-02-23 /pmc/articles/PMC10557972/ /pubmed/37808120 http://dx.doi.org/10.3390/ijgi12030091 Text en https://creativecommons.org/licenses/by/4.0/This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Jielu
Mu, Lan
Zhang, Donglan
Rajbhandari-Thapa, Janani
Chen, Zhuo
Pagán, José A.
Li, Yan
Son, Heejung
Liu, Junxiu
Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data
title Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data
title_full Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data
title_fullStr Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data
title_full_unstemmed Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data
title_short Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data
title_sort spatiotemporal optimization for the placement of automated external defibrillators using mobile phone data
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557972/
https://www.ncbi.nlm.nih.gov/pubmed/37808120
http://dx.doi.org/10.3390/ijgi12030091
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