The epidemiological profile and morbidity-mortality patterns of technological disasters in the Americas from 2000 to 2021: a cross-sectional study.

Technological disasters in the Americas have significant public health and environmental implications, but there is limited epidemiological analysis of these events. This study aims to characterize the epidemiological profile of technological disasters in the Americas from 2000 to 2021, focusing on morbidity and mortality trends. A retrospective cross-sectional study was conducted.

National Burden and Epidemiological Features of Mass Casualty Incidents in Spain, from 2014 to 2022.

Objectives: Mass Casualty Incidents (MCIs) pose significant challenges to health care systems, especially regarding emergency preparedness and response. This study aims to analyze the epidemiological characteristics and burden of MCIs in Spain from 2014 to 2022, focusing on the type, frequency, and impact of these incidents on public health and emergency services.

Methods: A population-based retrospective observational study examined MCIs in Spain between January 2014 and December 2022.

Climate change and antibiotic resistance: A scoping review.

This scoping review aimed to investigate the potential association between climate change and the rise of antibiotic resistance while also exploring the elements of climate change that may be involved. A scoping review was performed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews, comprehensively searching scientific literature up to 31 January 2024. Multiple databases were utilized, including MEDLINE, Web of Science and SCOPUS.

Technological disasters in Asia: Epidemiological profile from the year 2000 to 2021.

Background: Technological disasters in Asia have significant public health and environmental implications, but there is limited epidemiological analysis of these events. This study aims to characterize the epidemiological profile of technological disasters in Asia from 2000 to 2021, focusing on morbidity and mortality trends.

Methods: A retrospective descriptive observational analysis was conducted using data from emergency events database (EM-DAT), DesInventar, NatCAt, and Sigma.

Global trend and epidemiological profiles of climate-related disasters from 2000 to 2021.

Objective: The objective of this study is to analyse the epidemiological profile of global climate-related disasters in terms of morbidity and mortality, as well as to examine their temporal trends.

Method: This cross-sectional study analysed climate-related global disasters from 2000 to 2021, utilising definitions and criteria from the United Nations Strategy for Disaster Reduction and the Centre for Research on the Epidemiology of Disasters. Data were sourced from the EM-DAT database.

Total worker health based public health prevention strategy.

Purpose Of Review: This review aims to explore the public health approach for Infection Prevention within the Total Worker Health (TWH) framework strategy.

Recent Findings: The review identifies certain occupations considered high-risk groups for infection. It underscores primary, secondary, and tertiary public health preventive measures align with the TWH approach.

Exploring Cascading Disaster Risk During Complex Emergencies: Chemical Industry Disaster Risk Assessment in the Aftermath of the Kakhovka Dam Bombing in Ukraine.

Objective: This risk assessment aims to investigate the analysis of cascading disaster risks from the perspective of the chemical industry and public health subsequent to the Kakhovka dam bombing in Ukraine.

Method: The study utilized a modified observational cross-sectional risk assessment method to assess disaster risk. The method involved identifying the location of chemical factories, determining flooded or at-risk factories, analyzing the type and frequency of chemical hazards, assessing population exposure, and plotting a disaster risk metric.

The epidemiological profile of incidence and mortality from epidemics in complex humanitarian emergencies from 1990 to 2022 - A scoping review.

Aim: This study aimed to investigate the impact of communicable diseases with epidemic potential in complex emergency (CE) situations, focusing on the epidemiological profile of incidence and mortality and exploring underlying factors contributing to increased epidemic risks.

Methods: Using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses for Scoping Review (PRISMA-ScR) guidelines, we conducted a scoping review of articles published between 1990 and 2022. The search included terms related to complex emergencies, communicable diseases, outbreaks, and epidemics.

A Review of Mpox Outbreak and Public Health Response in Spain.

Objective: In May 2022, an unprecedented Mpox outbreak was reported in several non-endemic countries with unknown epidemiological links. Since May 2022, more than 20,000 cases have been reported in Europe. Spain has been the most affected country in Europe.

ChatGPT's performance before and after teaching in mass casualty incident triage.

Since its initial launching, ChatGPT has gained significant attention from the media, with many claiming that ChatGPT's arrival is a transformative milestone in the advancement of the AI revolution. Our aim was to assess the performance of ChatGPT before and after teaching the triage of mass casualty incidents by utilizing a validated questionnaire specifically designed for such scenarios. In addition, we compared the triage performance between ChatGPT and medical students.

Performance of Google bard and ChatGPT in mass casualty incidents triage.

Aim: The objective of our research is to evaluate and compare the performance of ChatGPT, Google Bard, and medical students in performing START triage during mass casualty situations.

Method: We conducted a cross-sectional analysis to compare ChatGPT, Google Bard, and medical students in mass casualty incident (MCI) triage using the Simple Triage And Rapid Treatment (START) method. A validated questionnaire with 15 diverse MCI scenarios was used to assess triage accuracy and content analysis in four categories: "Walking wounded," "Respiration," "Perfusion," and "Mental Status.

Development, validation, and accuracy of ORCHESTRA emotional exhaustion screening questionnaire among healthcare workers during COVID-19 Pandemic.

Background: The COVID-19 pandemic has posed unprecedented challenges, particularly for healthcare workers (HCWs). The prolonged struggles exposed the HCWs to a variety of stressors, potentially leading to burnout. Emotional exhaustion is widely recognized as the core component of burnout.

Novel Google Maps and Google Earth application for chemical industry disaster risk assessment during complex emergencies in Eastern Ukraine.

The war in Ukraine has led to complex emergencies, humanitarian crises, and other severe consequences, such as chemical industry disasters. The chemical industry is one of the principal sectors of Ukraine's economy. In 2019, Ukraine had a total volume of hazardous chemical accumulation of more than a 5.

Point-of-care ultrasonography in diagnosing necrotizing fasciitis-a literature review.

Introduction: Necrotizing fasciitis (NF) is a rapidly progressive necrosis of the fascial layer with a high mortality rate. It is a life-threatening medical emergency that requires urgent treatment. Lack of skin finding in NF made diagnosis difficult and required a high clinical index of suspicion.

Sensitivity and Specificity of Spanish Prehospital Advanced Triage Method (META).

Introduction: Mass-casualty incident (MCI) triage systems aim to provide the best possible health care to the greatest number of affected people with the available resources in the context of a mass-casualty event. The Spanish Prehospital Advanced Triage Method (Modelo Extrahospitalario de Triaje Avanzado; META) was designed to improved patient sorting in MCIs.

Objective: The aim of this study was to estimate and compare sensitivity and specificity of META and the Manchester Triage System (MTS) in MCIs by retrospectively applying both triage algorithms to real MCI patients from the Emergency and Disaster Research Unit (Unidad de Investigación en Emergencia y Desastres; UIED) MCI database.