Decision-making by laypersons equipped with an emergency response smartphone app for opioid overdose

2021 ◽  
Vol 95 ◽  
pp. 103250
Author(s):  
Janna Ataiants ◽  
Megan K. Reed ◽  
David G. Schwartz ◽  
Alexis Roth ◽  
Gabriela Marcu ◽  
...  
Author(s):  
P. Boguslawski ◽  
L. Mahdjoubi ◽  
V. Zverovich ◽  
F. Fadli

Nowadays, in a rapidly developing urban environment with bigger and higher public buildings, disasters causing emergency situations and casualties are unavoidable. Preparedness and quick response are crucial issues saving human lives. Available information about an emergency scene, such as a building structure, helps for decision making and organizing rescue operations. Models supporting decision-making should be available in real, or near-real, time. Thus, good quality models that allow implementation of automated methods are highly desirable. This paper presents details of the recently developed method for automated generation of variable density navigable networks in a 3D indoor environment, including a full 3D topological model, which may be used not only for standard navigation but also for finding safe routes and simulating hazard and phenomena associated with disasters such as fire spread and heat transfer.


2013 ◽  
Vol 339 ◽  
pp. 236-241
Author(s):  
Ying Zhang ◽  
Shi Hang Huang ◽  
De Peng Dang ◽  
Hui Ruan

How to ensure a smooth, fast and efficient emergency response procedure becomes a highly concerned issue. However, a procedure of emergency plan may be confusing and inefficient in reality due to delay caused by waiting for decision-making, responding to conflicts and limited resource during the process of dealing with emergency. In this paper, we propose a colored stochastic Petri net to evaluate the security and complexity of emergency response procedure and the reasonableness of resource flow, so as to effectively analyze the potential deficiencies of emergency response procedure. We firstly establish a colored stochastic Petri net, and then convert the colored stochastic Petri net to an isomorphic Markov chain. Studying the structural properties of the colored stochastic Petri net and steady-state nature of the Markov chainprovides a scientific basis for the perfection of emergency plan. Meanwhile, it also ensures an ordered and efficient implementation of emergency response procedure in an emergency.


Author(s):  
Eleana Asimakopoulou ◽  
Chimay J Anumba ◽  
Dino Bouchlaghem

The emergency management community is working toward developments associated with the reduction of losses in lives, property and the environment caused by natural disasters. However, several limitations with the particular collaborative nature of current Information and Communication Technology (ICT) in use have been reported. In particular, how emergency management stakeholders within an ICT environment can bring together all their resources in a collaborative and timely manner so as to improve the effectiveness and efficiency of emergency response tasks. With this in mind, the authors describe the Grid-Aware Emergency Response Model (G-AERM) to make the best of functionality offered by emerging ICT to support intelligence in decision making toward a more effective and efficient emergency response management.


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