Trial objectives

This was a qualitative exploratory study that used in-depth interviews to collect data on the perspectives of health workers, and policy-makers on the use of intramuscular artesunate as a pre-referral and definitive treatment for severe malaria at health posts.

Studiying computer simulation software for critical infrastructure interdependencies (CII)

This study was undertaken in Wenchuan and Dujiangyan, where around 6,000 soldiers from the People’s Liberation Army were deployed to provide emergency relief.

The overarching goal of the guidelines was to outline a disaster response that allows for large numbers of burn injured victims to be cared for 3 to 5 days afteran event until such time that tertiary burn care can be secured or the patient is safe for discharge with appropriate follow-up outpatient care.

The purpose of the study was to examine change in disaster management (DM) competency and inter-professional (IP) attitudes after students completed the online course and simulation with a view to enhancing IP and DM practice.

development and testing of a tool to simulate an OR room in a surgical crisis.ICATS-N was tested in the context of surgical crisis simulations. The simulations were carried out in a Simulated Operating Room (SOR) in our hospital.

Study with 3 groups: 1 with video tape instructions, one with hands on and one with no instructions. All Students were evaluated using a three stationobjective structured clinical examination that involved high-fidelity simulations.All participants were asked to complete a demographic questionnaire that included questions about past clinical experiences and the number of patients managed with a critical incident.This pilot study took place over a two-day period in the clinical learning and simulation center at the McMaster University School of Nursing (SON) in southwestern Ontario.

Monte Carlo simulation is a method that evaluates iteratively a deterministic model using sets of random numbers as inputs.Response simulation for the Thailand tsunami in 2004

Analyze the expected performance of response operations and to see how the urban highway network of Istanbul would perform during an anticipated major earthquake in the region

Accurate data extraction and aggregation of Wireless sensor networks (WSNs)  is difficult, due to significant variations in sensor readings and frequent link and node failures. We propose data-aggregation techniques based on statistical information extraction that capture the effects of aggregation over different scales. We also design, in this paper, an accurate estimation of the distribution parameters of sensory data using the expectation–maximization (EM) algorithm.