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Background: Natural disasters pose significant risks to vulnerable populations, particularly pregnant, postpartum, and breastfeeding women, who face increased health and safety challenges during emergencies. Strengthenin...

Floods are one of the most frequent and damaging natural hazards in Malaysia, especially in low-lying places, such as Batu Pahat and Johor. National flood monitoring systems, such as InfoBanjir and Malaysian Meteorologic...

Abstract Background Hospital-based simulations are vital for disaster preparedness. Anxiety and other emotions may affect hospital staff by influencing non-technical skills. We investigated self-reported emotional and or...

ABSTRACT Background Emergency and public health problems are unavoidable and can strike at any time. In a globalized world where crises are getting more common, more devastating, and have a substantial influence on socie...

As cyberthreats to critical infrastructure remain prevalent, national response mechanisms must evolve beyond the technical domain to incorporate legal, communicative, strategic, and cross-sector coordination. This work e...

This paper explores the application of convolutional neural networks (CNNs) in predictive modelling for seismic events and flood risks, with a particular focus on forecasting extreme quantile events that exceed historica...

Introduction Disasters often cause large numbers of injuries, including fractures, lacerations and amputations, which overwhelm emergency services. Orthotic and prosthetic solutions can provide timely primary care, reduc...

Drought is a common phenomenon that affects more people within the context of Africa than any other disaster. Likewise, drought is an extreme and common occurrence within the lowland areas of Chipinge district in Zimbabw...

Abstract Background Floods are among the most frequent and destructive natural disasters worldwide, and India remains one of the most affected countries. Post-traumatic stress disorder (PTSD) is a common and enduring psy...

ABSTRACT: Dental and maxillofacial injuries represent an important but underrecognised component of trauma during episodes of violent crowd control. Blunt and projectile forces directed toward the head frequently result ...

Abstract The increasing frequency of natural hazards, intensified by climate change, poses substantial challenges to sustainable development worldwide. Northern Pakistan, particularly the Hunza district, is highly suscep...

Abstract Background Most climate and health studies are based on a single extreme weather event and do not consider multiple physical processes across spatial and temporal scales. Our aim was to explore the current lands...

The February 2026 issue presents 17 research papers within its regular section, covering a wide range of areas including Artificial Intelligence (AI), Machine Learning (ML), Web and Cloud Technologies, Recommender System...

Technological-based early warning systems (EWS) in rural Indonesia have shown limited long-term adoption because centralised, top-down mechanisms fail to incorporate the contextual triggers trusted by local communities, ...

Abstract Background Climate change has caused more frequent and severe extreme weather events, threatening health system resilience worldwide. In April and May 2024, Kenya experienced unprecedented extensive floods with ...

Abstract Background Landslides are one of the most frequent and damaging disasters in the Nepal Himalaya region, triggered primarily by intense rainfall events. With the increasing impacts of climate change, extreme prec...

This research aims to explore the role of community resilience in response to the refugee crisis caused by the Russian invasion of Ukraine on February 24, 2022 by specifically studying two core dimensions of community re...

Artificial intelligence (AI), machine learning (ML), and advanced computing techniques are now central to the digital transformation journey, reshaping industries, academia, and society. This special issue of the Journal...

IntroductionFlood risk assessment has become increasingly important in regions vulnerable to climate-induced disasters. This study addresses the need for a robust decision-support framework by proposing a hybrid multi-cr...

Materias / palabras clave: sendai framework, disaster response, disaster recovery, disaster preparedness, disaster risk reduction; Geography. Anthropology. Recreation: Environmental sciences; Social Sciences: Social sciences (General)