Background: Dispatching first responders (FR) to out-of-hospital cardiac arrest in addition to the emergency medical service has shown to increase survival. The promising development of FR systems over the past years has been challenged by the outbreak of COVID-19. Whilst increased numbers and worse outcomes of cardiac arrests during the pandemic suggest a need for expansion of FR schemes, appropriate risk management is required to protect first responders and patients from contracting COVID-19. This study investigated how European FR schemes were affected by the pandemic and what measures were taken to protect patients and responders from COVID-19.
Methods: To identify FR schemes in Europe we conducted a literature search and a web search. The schemes were contacted and invited to answer an online questionnaire during the second wave of the pandemic (December 2020/ January 2021) in Europe.
Results: We have identified 135 FR schemes in 28 countries and included responses from 47 FR schemes in 16 countries. 25 schemes reported deactivation due to COVID-19 at some point, whilst 22 schemes continued to operate throughout the pandemic. 39 schemes communicated a pandemic-specific algorithm to their first responders. Before the COVID-19 outbreak 20 FR systems did not provide any personal protective equipment (PPE). After the outbreak 19 schemes still did not provide any PPE. The majority of schemes experienced falling numbers of accepted call outs and decreasing registrations of new volunteers. Six schemes reported of FR having contracted COVID-19 on a mission.
Conclusions: European FR schemes were considerably affected by the pandemic and exhibited a range of responses to protect patients and responders. Overall, FR schemes saw a decrease in activity, which was in stark contrast to the high demand caused by the increased incidence and mortality of OHCA during the pandemic. Given the important role FR play in the chain of survival, a balanced approach upholding the safety of patients and responders should be sought to keep FR schemes operational.
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http://dx.doi.org/10.1186/s13049-022-00998-3 | DOI Listing |
Sci Rep
December 2024
Shaanxi Key Laboratory of Complex System Control and Intelligent Informantion Processing, Xi'an University of Technology, Xi'an 710048, China.
In the integrated radar and communication system (IRCS), the design of signal that can simultaneously satisfy the radar detection and communication transmission is very important and difficult. Recently, some new properties of a class of solvable chaotic system have been studied for wireless applications, such as low bit error rate (BER) wireless communications and low cost target detection. In this paper, a novel IRCS based on the chaotic signal is proposed, and the performance of proposed scheme is analyzed.
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December 2024
Departamento de Física, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911, Leganés, Spain.
Considering a universal deep neural network organized as a series of nested qubit rotations, accomplished by adjustable data re-uploads we analyze its expressivity. This ability to approximate continuous functions in regression tasks is quantified making use of a partial Fourier decomposition of the generated output and systematically benchmarked with the aid of a teacher-student scheme. While the maximal expressive power increases with the depth of the network and the number of qubits, it is fundamentally bounded by the data encoding mechanism.
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December 2024
Institute of Soil and Water Conservation, Northwest A&F University, Yangling, 712100, Shaanxi, China.
Reservoir-operation optimisation is a crucial aspect of water-resource development and sustainable water process management. This study addresses bi-objective optimisation problems by proposing a novel crossover evolution operator, known as the hybrid simulated binary and improved arithmetic crossover (SBAX) operator, based on the simulated binary cross (SBX) and arithmetic crossover operators, and applies it to the Non-dominated Sorting Genetic Algorithms-II (NSGA-II) algorithm to improve the algorithm. In particular, the arithmetic crossover operator can obtain an optimal solution more precisely within the solution space, whereas the SBX operator can explore a broader range of potential high-quality solutions.
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December 2024
Condensed Matter Theory Group, School of Studies in Physics, Jiwaji University, Gwalior, 474 011, India.
This study presents a comprehensive investigation into the intrinsic properties of RNiP (where R = Sm, Eu) filled skutterudite, employing the full-potential linearized augmented plane wave method within density functional theory (DFT) simulations using the WIEN2k framework. Structural, phonon stability, mechanical, electronic, magnetic, transport, thermal, and optical properties are thoroughly explored to provide a holistic understanding of these materials. Initially, the structural stability of SmNiP and EuNiP is rigorously evaluated through ground-state energy calculations obtained from structural optimizations, revealing a preference for a stable ferromagnetic phase over competing antiferromagnetic and non-magnetic phases.
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December 2024
Department of Mathematics, GC University, Lahore, Pakistan.
In this article, a nonlinear fractional bi-susceptible [Formula: see text] model is developed to mathematically study the deadly Coronavirus disease (Covid-19), employing the Atangana-Baleanu derivative in Caputo sense (ABC). A more profound comprehension of the system's intricate dynamics using fractional-order derivative is explored as the primary focus of constructing this model. The fundamental properties such as positivity and boundedness, of an epidemic model have been proven, ensuring that the model accurately reflects the realistic behavior of disease spread within a population.
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