Background: The flood disaster of 9-10 September 2014 wreaked havoc in the Jammu and Kashmir region of India. Incessant rains and deluge claimed 283 lives and damaged 2.53 lakh houses. This article presents the findings of the psychosocial care team from the National Institute of Mental Health and Neuro Sciences, Bengaluru, India, during the early phase of disaster.
Materials And Methods: The team assessed posttraumatic stress symptoms of 64 child survivors from six villages of two districts struck by floods using Children's Revised Impact of Event Scale (CRIES)-8 and qualitative narrations.
Results: Children showed high levels of intrusion and avoidance in the aftermath of floods. Both boys and girls showed moderate to severe level of psychological impact on the domains of CRIES-8. The narrations by the children centred on the theme of "water" and "enjoyment in seeing lots of water;" followed by "fearing of the parent's life," later on "fear of their own life," and subsequently to avoidance to go near the river and nightmares like "floating in the water."
Conclusion: Disasters immensely impact children because of their particular stage of psychological and social development. This highlights the need for psychosocial interventions to minimize the impact of disasters on children at the earliest using simple psychosocial care techniques by employing available community-based manpower.
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http://dx.doi.org/10.4103/IJPSYM.IJPSYM_571_17 | DOI Listing |
Sci Rep
December 2024
Department of Civil, Construction and Environmental Engineering (Dept 2470), North Dakota State University, PO Box 6050, Fargo, ND, 58108-6050, USA.
A precise streamflow forecast is crucial in hydrology for flood alerts, water quantity and quality management, and disaster preparedness. Machine learning (ML) techniques are commonly employed for hydrological prediction; however, they still face certain drawbacks, such as the need to optimize the appropriate predictors, the ability of the models to generalize across different time horizons, and the analysis of high-dimensional time series. This research aims to address these specific drawbacks by developing a novel framework for streamflow forecasting.
View Article and Find Full Text PDFSleep Med
December 2024
Department of Psychiatry & Division of Sleep Medicine, AIIMS Rishikesh, India.
Among the mental health outcomes and disaster types (determined by damage to life, property, long-term consequences, displacement, and unpredictability), floods are associated with anxiety and sleep problems, mudslides with anxiety and mood disturbance, volcanic eruptions with acute stress reactions, and earthquakes with anxiety, depression, and physical complaints. Disasters such as tunnel collapse are unique as it involves the healthy, without loss of personal property or displacement; hence, they can have very different health-related outcomes. In this study, we explore mental health and sleep-related issues in workers rescued from an under-construction collapsed tunnel trapped for 17 days.
View Article and Find Full Text PDFPrehosp Disaster Med
December 2024
Medicine and Surgery, The Aga Khan University, Karachi, Pakistan.
In the aftermath of the 2022 Pakistan flooding, disaster management faced critical challenges, particularly in mental health support. This study analyzed an incident where eighteen internally displaced individuals lost their lives in a bus fire. The current approach involves a comprehensive analysis of the incident, exploring the difficulties encountered in managing relief efforts, and providing mental health support.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Geography, National Taiwan Normal University, Taipei, Taiwan.
The impact of flood diversion channels on river sediment transport has been rarely reported. This study uses the Yuanshantze flood diversion tunnel (YFDT), which was commissioned in July 2005 in Taiwan, as an example. This study calculates the sediment transport in the Keelung River from 1997 to 2018 by using seasonal rating curves, in the form of aQb.
View Article and Find Full Text PDFPrehosp Disaster Med
December 2024
School of Nursing & Midwifery, The University of Newcastle, New South Wales, Australia.
Introduction: Disasters pose significant challenges globally, affecting millions of people annually. In Saudi Arabia, floods constitute a prevalent natural disaster, underscoring the necessity for effective disaster preparedness among Emergency Medical Services (EMS) workers. Despite their critical role in disaster response, research on disaster preparedness among EMS workers in Saudi Arabia is limited.
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