scholarly journals Strategic Mapping and Optimised Allocation of Automated External Defibrillators in Urban Areas

2020 ◽  
pp. 138-145
Author(s):  
Kanteler Despoina ◽  
Katsaros Evangelos ◽  
Bakouros Yiannis
Keyword(s):  
Cardiac Arrest ◽  
Urban Areas ◽  
Hot Spot ◽  
Public Access ◽  
Capital City ◽  
Public Health Issue ◽  
Time Range ◽  
Public Access Defibrillation ◽  
Full Coverage ◽  
The City

<p><strong>Background</strong>: Out-of-hospital cardiac arrest (OHCA) is a leading cause of death and is regarded as a significant public health issue. Immediate treatment with an automated external defibrillator (AED) increases OHCA patient survival potential. For AEDs to be used and fulfil their lifesaving potential, they need to be in close proximity to the victim and accessible at the time of a cardiac arrest. The current paper sheds light upon an optimized location-allocation method achieving full coverage with immediate accessibility in an urban context given a limited number of available AEDs for deployment using GIS. The case study is the Region of Western Macedonia (RWM) in Greece for a pilot AED placement program for the Governance of RWM. The focus of the current study is the capital city of RWM, Kozani. The initial number of the defibrillators (120) that are needed to be distributed is very small and cannot cover the needs for every major city or rural area in the region. Out of the 120 AEDs, the challenge is to find the minimum required number of AEDs to allocate in the city providing full coverage and accessibility. This paper focuses only on one city, however, the same methodology was applied to allocate AEDs in the other selected cities of the region. The rural dimension and methodology are not in the scope of this paper. <br> <strong>Methods</strong>: Road network data, spatio-temporal analysis of accessibility network, digital elevation model, land uses, population density, seasonal fluctuations and socio-demographic variables were used. GIS algorithms such as spatial analysis, kernel density, hot spot analysis, maximal covering location problem (MCLP) tests, proximity algorithms, buffer zoning, were a few of the tests made in order to find the most efficient positions and maximize coverage keeping in mind that access to an AED until defibrillation time must not exceed the time range of five minutes. <br> <strong>Results</strong>: optimised sites and allocated AEDs in urban areas we managed to achieve full city coverage with 17 AEDs. In every part of the city, people can have access to a nearby AED with its critical radius of less than or equal to 250m achieving defibrillation in the critical period of 5 minutes. The results are promising for the establishment and expansion of optimised AED deployment in cities. <br> <strong>Conclusions</strong>: The progress of the project must be monitored and there are still unresolved problems that need to be tackled to provide a robust allocation of future defibrillators. Further research to enhance our understanding on public access defibrillation and optimize the accessibility and functionality of the medical health care services is needed. A network of engaged and informed citizens ready to act is required for a successful public access defibrillation program.</p>

Locations of Cardiac Arrest: Affirmation for Community Public Access Defibrillation (PAD) Program

2002 ◽  
Vol 17 (4) ◽  
pp. 202-205 ◽  
Author(s):  
J.C. Fedoruk ◽  
Wayne L. Currie ◽  
Meikel Gobet
Keyword(s):  
Cardiac Arrest ◽  
Annual Incidence ◽  
Public Access ◽  
Optimal Placement ◽  
The Public ◽  
Public Access Defibrillation ◽  
Average Annual Incidence ◽  
Prehospital Emergency ◽  
Chain Of Survival ◽  
The City

AbstractBackground:The purpose of this study was to describe the regional locations of cardiac arrest, and to identify public locations and the annual incidence of arrests within the identified locations, in order to help to determine optimal placement of Automatic External Defibrillators (AEDs) under the regional Public Access Defibrillation (PAD) Program. This is a retrospective study.Methods:The locations of cardiac arrest were abstracted from Ambulance Call Reports (ACRs) collected by the Essex-Kent Base Hospital Centre from regional ambulance services throughout the City of Windsor, and the Counties of Essex and Kent, Ontario, Canada, from 01 January 1994 through 31 December 2000. Arrest locations were grouped into five categories, and then the number of public venues was determined. Public sites were grouped into 28 Public Locations. Also included in the Public Sites were both General Industry and Outdoors categories. Categories identified but excluded from Public Sites were Institutions and Private Residences.Results:During the study, 2,295 arrests occurred, 152 cases were excluded, 2,142 arrests were categorized, (average annual incidence of 306 ±50.4 cardiac arrests), 329 (15.4%) of which were in Public Sites. Nineteen public venues had an average of >1 arrest/year, and nine public venues had an average of ≤1 arrest/year during the study, period. Calculations of the annual incidence of arrests for each public location were completed.Conclusions:These findings have significant prehospital emergency cardiac care implications for communities that wish to strengthen/improve their responses to out-of-hospital cardiac arrests. Public Access Defibrillation Programs should identify the site-specific incidence of arrest within their communities in order to provide legitimacy for funding and planning of programs. Training and availability of AEDs will reduce the time to first shock, thus strengthening the chain-of-survival and will save more lives.

scholarly journals Prediction of Hourly Effect of Land Use on Crime

2018 ◽  
Vol 8 (1) ◽  
pp. 16 ◽  
Author(s):  
Irina Matijosaitiene ◽  
Peng Zhao ◽  
Sylvain Jaume ◽  
Joseph Gilkey Jr
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Logistic Regression ◽  
Hot Spots ◽  
Urban Areas ◽  
Prediction Models ◽  
Hot Spot ◽  
Time Range ◽  
Land Uses ◽  
Police Departments

Predicting the exact urban places where crime is most likely to occur is one of the greatest interests for Police Departments. Therefore, the goal of the research presented in this paper is to identify specific urban areas where a crime could happen in Manhattan, NY for every hour of a day. The outputs from this research are the following: (i) predicted land uses that generates the top three most committed crimes in Manhattan, by using machine learning (random forest and logistic regression), (ii) identifying the exact hours when most of the assaults are committed, together with hot spots during these hours, by applying time series and hot spot analysis, (iii) built hourly prediction models for assaults based on the land use, by deploying logistic regression. Assault, as a physical attack on someone, according to criminal law, is identified as the third most committed crime in Manhattan. Land use (residential, commercial, recreational, mixed use etc.) is assigned to every area or lot in Manhattan, determining the actual use or activities within each particular lot. While plotting assaults on the map for every hour, this investigation has identified that the hot spots where assaults occur were ‘moving’ and not confined to specific lots within Manhattan. This raises a number of questions: Why are hot spots of assaults not static in an urban environment? What makes them ‘move’—is it a particular urban pattern? Is the ‘movement’ of hot spots related to human activities during the day and night? Answering these questions helps to build the initial frame for assault prediction within every hour of a day. Knowing a specific land use vulnerability to assault during each exact hour can assist the police departments to allocate forces during those hours in risky areas. For the analysis, the study is using two datasets: a crime dataset with geographical locations of crime, date and time, and a geographic dataset about land uses with land use codes for every lot, each obtained from open databases. The study joins two datasets based on the spatial location and classifies data into 24 classes, based on the time range when the assault occurred. Machine learning methods reveal the effect of land uses on larceny, harassment and assault, the three most committed crimes in Manhattan. Finally, logistic regression provides hourly prediction models and unveils the type of land use where assaults could occur during each hour for both day and night.

scholarly journals Outcomes of Out‐of‐Hospital Cardiac Arrest by Public Location in the Public‐Access Defibrillation Era

2014 ◽  
Vol 3 (2) ◽  
Author(s):  
Yukiko Murakami ◽  
Taku Iwami ◽  
Tetsuhisa Kitamura ◽  
Chika Nishiyama ◽  
Tatsuya Nishiuchi ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Public Access ◽  
The Public ◽  
Public Access Defibrillation ◽  
Hospital Cardiac Arrest

O153 Public access defibrillation- Results from the Victorian Ambulance Cardiac Arrest Registry (VACAR)

Global Heart ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e41-e42
Author(s):  
Marijana Lijovic ◽  
Stephen Bernard ◽  
Ziad Nehme ◽  
A/Prof Tony Walker ◽  
A/Prof Karen Smith
Keyword(s):  
Cardiac Arrest ◽  
Public Access ◽  
Public Access Defibrillation

Abstract 197: What Limits the Use of AEDs by Bystanders?

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_2) ◽  
Author(s):  
Hiroshi Kaneko ◽  
Tetsuo Hatanaka ◽  
Aki Nagase ◽  
Seishiro Marukawa ◽  
Tetsuya Sakamoto
Keyword(s):  
Cardiac Arrest ◽  
Urban Areas ◽  
Limiting Factors ◽  
Survey Period ◽  
Automated External Defibrillators ◽  
Public Areas ◽  
Patient Side ◽  
Almost All ◽  
Key Steps ◽  
The City

Introduction: In Japan, the number of automated external defibrillators (AEDs) placed in public areas has climbed up to the estimated 530,000. We reported previously that a half of out-of-hospital cardiac arrests occurred within 100 m from a public AED in urban areas. However, shocks for defibrillation were given to less than 15% of those patients. The objectives of this study was to identify the limiting factors against the use of AEDs by bystanders. Methods: A prospective survey on out-of-hospital cardiac arrest was conducted in the city of Osaka (Dec 2016 through Mar 2017) and the city of Nagoya (Dec 2016 through Nov 2017) searching for patient demographics and AED settings including; absence/presence of a public AED on the scene, attachment of AED pads, delivery of shocks before the time of EMS arrival. Results: Of 558 cases of cardiac arrest registered during the survey period, an AED had already been delivered at the patient side by the time of EMS arrival in 92 case (16.5%). Of those, pads had been attached in 89 cased (96.7%). Shocks had been advised in 35 cases (39.3%) and to all but one of those cases at least 1 shock had been given by the bystanders. There were no statistically significant differences between the groups of cases with and without AEDs at the patient side regarding the patient age (65 years [IQR: 48-74] vs 63 years [IQR49-75], p=0.84), gender (p=0.68) and the time from call to EMS arrival (7 min [IQR: 6-9] vs 7 min [IQR: 6-9], p=0.74). Cases occurring indoors had more chances of AEDs being delivered on the patient side than cases occurring outdoors (24.0% vs 7.8%, p<0.001). Conclusions: Our study indicates that once an AED is delivered at the patient side, pads are successfully attached and shocks are given if indicated in almost all cases. This suggests that finding and delivering an AED onto the patient side are the limiting factors against the use of AEDs by bystanders. In order to popularize the use of AEDs by bystanders, informing people with AED placement and clear direction to the AED location seem to be the key steps.

The City of Oslo in Jan Erik Vold’s Poems

2021 ◽  
Vol 66 (1) ◽  
pp. 219-230
Author(s):  
Raluca-Daniela Duinea
Keyword(s):  
Cultural Identity ◽  
Urban Areas ◽  
Social Criticism ◽  
Capital City ◽  
Urban Landscapes ◽  
Reading Technique ◽  
Social Critical ◽  
The 1960S ◽  
The City ◽  
Selection Of

"The City of Oslo in Jan Erik Vold’s Poems. The aim of this paper is to examine, from a cultural and social perspective, the Norwegian urban areas and everyday situations in Jan Erik Vold’s (b. 1939) poems. Our close-reading technique reveals important social aspects, different places and streets, located in the capital city of Norway, Oslo. These urban poems written by the contemporary Norwegian poet Jan Erik Vold contribute to the reconstruction of a new Norwegian cultural identity as it is reflected in a selection of poems taken from Mor Godhjertas glade versjon. Ja (Mother Goodhearted’s Happy Version. Yes, 1968), followed by the poet’s wanderings in the city of Oslo in En som het Abel Ek (One Named Abel Ek, 1988), and concluding with his bitter social criticism in Elg (Moose, 1989) and IKKE. Skillingstrykk fra nittitallet (Not: Broadsides from the Nineties, 1993). Vold’s urban poems emphasise the transition from nyenkle (new simple), friendly and descriptive poems which present closely the city of Oslo on foot, to short, political and social critical poems from the 90s. Thus, it is of great importance to traverse various urban ‘landscapes’ in different periods of time, beginning with the 1960s, followed by the 80s and the 90s. Keywords: Jan Erik Vold, urban poems, social criticism, Norwegian urban areas, the city of Oslo "

Location of arrest and survival from out-of-hospital cardiac arrest among children in the public-access defibrillation era in Japan

Resuscitation ◽  
2019 ◽  
Vol 140 ◽  
pp. 150-158 ◽  
Author(s):  
Satoshi Matsui ◽  
Tetsuhisa Kitamura ◽  
Junya Sado ◽  
Kosuke Kiyohara ◽  
Daisuke Kobayashi ◽  
...  
Keyword(s):  
Cardiac Arrest ◽  
Public Access ◽  
The Public ◽  
Public Access Defibrillation ◽  
Hospital Cardiac Arrest
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