Natural and human-made disaster and associated health outcomes among community-dwelling older adults in India: Findings from LASI, 2017-18.

BACKGROUND: Droughts, flash floods, rail accidents, and riots are relatively regular occurrences for those living in many low- and middle-income countries like India. While such natural and human-made disasters put everyone in harm's way, their toll on specific segments of society-like older adults-is the heaviest. Therefore, in this study, we examine (1) the prevalence of natural and human-made disasters in India and (2) the association between natural and human-made disasters and several physical and mental health outcomes among older Indians. METHODS: A cross-sectional study was conducted utilizing data come from the 2017-18 wave 1 of the nationally representative Longitudinal Ageing Study in India, comprising a sample of 29,333 older adults (14,120 males and 15,213 females) aged 60 years and above. Multivariate random intercept multilevel logistic regression analysis is used to examine the association between natural and human-made disasters and poor self-rated health, difficulty in activities of daily living, difficulty in instrumental activities of daily living, communicable diseases, non-communicable diseases, depressive symptoms, and psychiatric disorder. RESULTS: Overall, 3.58% of older adults reported that they have encountered any type of natural or human-made disaster in the past five years. Compared to those who did not experience any (natural or human-made) disaster, older adults who experienced any disaster had a higher prevalence of poor self-rated health (33.4% vs 23.31%), difficulty in activities of daily living (33.94% vs 23.00%), difficulty in instrumental activities of daily living (60.09% vs 47.70%), communicable diseases (49.57% vs 25.86%), depressive symptoms (17.30% vs 8.06%) and psychiatric disorders (3.42% vs 2.78%). After adjusting for the selected variables and the contextual effect, the odds of poor self-rated health (1.64 [1.40, 1.92]), difficulty in activities of daily living and instrumental activities of daily living (1.89 [1.61, 2.21] and 1.63 [1.40, 1.89]), communicable and non-communicable diseases (2.12 [1.83, 2.46] and 1.38 [1.20, 1.60]), depressive symptoms and psychiatric disorder (1.67 [1.55, 2.05] and 1.52 [1.33, 2.18]) were significantly higher among older adults who experienced a natural or human-made disaster than their counterparts without such an experience. CONCLUSIONS: Relative to their non-exposed counterparts, older Indians who survived natural or human-made disasters endured an inflated risk of poor self-rated health, functional difficulties, communicable and non-communicable diseases, depressive symptoms, and psychiatric disorders. As such, post-disaster efforts should be grounded in policies and programs that address disaster-related trauma and diseases and improve the functional, physical, and psychological facets of health among older disaster survivors.

Research on cross-regional emergency materials intelligent dispatching model in major natural disasters.

The increasingly frequent occurrence of major natural disasters can pose a serious threat to national stability and the safety of people's lives, and cause serious economic losses. How to quickly and accurately dispatch emergency materials to all disaster areas across regions in post-disaster has attracted wide attention from the government and academia. In response to the characteristic of high uncertainty in emergency rescue for major natural disasters, and considering differentiated disaster severity levels in different disaster areas, the entropy weight method is used to determine the urgency coefficient of emergency material demand for disaster areas. This study aims to minimize the emergency materials dispatching time and cost, also maximize the dispatching fairness for disaster areas. The triangular fuzzy number method is used to represent the uncertain variables mentioned above, so that a cross-regional emergency materials intelligent dispatching model in major natural disasters (CREMIDM-MND) is constructed. The extremely heavy rainstorm disaster in Henan Province of China in 2021 is selected as a typical case. Based on objective disaster data obtained from official websites, this study applies the constructed model to real disaster case and calculates the results by MATLAB. The ant colony algorithm is further used to optimize the transportation route based on the calculation results of the emergency material dispatching for disaster areas, and finally forms the intelligent emergency materials dispatching scheme that meets the multiple objectives. The research results indicate that compared to the actual situation, CREMIDM-MND can help decision-maker to develop a cross-regional emergency materials intelligent dispatching scheme in time, thereby effectively improving the government's emergency rescue performance in major natural disasters. Moreover, some managerial insights related to cross-regional emergency materials dispatching practice problem in major natural disasters are presented.

Invasive fungal infections in wars, following explosives and natural disasters: A narrative review.

Infections are well-known complications in patients following traumatic injuries, frequently leading to high morbidity and mortality. In particular, trauma occurring in disaster settings, both natural and man-made, such as armed conflicts and explosives detonation, results in challenging medical conditions that impede the best management practices. The incidence of invasive fungal infections (IFI) is increasing in trauma patients who lack the typical risk factors like an immune compromised state or others. This narrative review will focus on IFI as a direct complication after natural disasters, wars, and man-made mass destruction with a summary of the available evidence about the epidemiology, clinical manifestations, risk factors, microbiology, and proper management. In this setting, the clinical manifestations of IFI may include skin and soft tissue infections, osteomyelitis, visceral infections, and pneumonia. IFI should be considered in the war inflicted patients who are exposed to unsterile environments or have wounds contaminated with soil and decaying organic matter.

Evolution of natural disaster terminologies, with a case study of the covid-19 pandemic.

Disaster, catastrophe, and cataclysm are some English terminologies that describe the severity of adverse events. Civilians, reporters, and professionals often use these terminologies to communicate and report any event's severity. This linguistic method is the most practical way to rapidly reach all levels of local/regional/national, and international stakeholders during disasters. Therefore, disaster terminologies play a significant role in disaster management. However, attaining the actual magnitude of a disaster's severity cannot be comprehended simply by using these terminologies because they are used interchangeably. Unfortunately, there is no consistent method to differentiate disaster terminologies from one another. Additionally, no globally accepted standard technique exists to communicate the severity level when disasters strike; one observer's 'disaster' can be another's 'catastrophe'. Hence, a nation's ability to manage extreme events is difficult when there are no agreed terminologies among emergency management systems. A standard severity classification system is required to understand, communicate, report, and educate stakeholders. This paper presents perceptions of people about disaster terminologies in different geographical regions, rankings and differences in disaster lexical and lexicon. It explores how people perceive major events (e.g., the Covid-19 pandemic), and proposes a ranking of disaster terminologies to create a severity classification system suitable for global use.

A network meta-analysis of psychological interventions for children and adolescents after natural and man-made disasters.

INTRODUCTION: Children and adolescents, after natural and man-made disasters, often exhibit various psychological, emotional, and behavioral issues, showing a range of clinical symptoms related to post-traumatic stress disorder (PTSD) and depression. This review used a network meta-analysis (NMA) approach to compare and rank psychological interventions for PTSD and depression in children and adolescents after exposure to natural and man-made disasters. METHODS: Randomized studies of psychosocial interventions for PTSD and depression in children and adolescents exposed to natural and man-made disasters were identified. PTSD and depression symptoms at postintervention and 1-12 month follow-up are the outcomes. The standardized mean differences (SMDs) between pairs of interventions at postintervention and follow-up were pooled. Mean effect sizes with 95% credible intervals (CI) were calculated, and the ranking probabilities for all interventions were estimated using the surface under the cumulative ranking curve. Study quality was assessed with version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2). RESULTS: In total, 26 studies with 4331 participants were included in this NMA. Eye movement desensitization and reprocessing therapy (EMDR) (SMD = - 0.67; 95% CI - 1.17 to - 0.17), exposure therapy (ET) (SMD = - 0.66; 95% CI - 1.11 to - 0.22), and cognitive behavioral therapy (CBT) (SMD = - 0.62; 95% CI - 0.90 to - 0.34) were significantly more effective for PTSD at postintervention than inactive intervention. EMDR (SMD = - 0.72; 95% CI - 1.11 to - 0.33) and ET (SMD = - 0.62; 95% CI - 0.97 to - 0.27) were associated with a higher reduction in PTSD symptoms at follow-up than inactive intervention. EMDR (SMD = - 0.40; 95% CI - 0.78 to - 0.03) and play therapy (PT) (SMD = - 0.37; 95% CI - 0.62 to - 0.12) were significantly more effective for depression at postintervention than inactive intervention. For all psychological interventions in reducing depression symptoms at follow-up compared with inactive intervention, the differences were not significant. CONCLUSION: EMDR appears to be most effective in reducing PTSD and depression in children and adolescents exposed to natural and man-made disasters. In addition, ET and CBT are potentially effective in reducing PTSD symptoms at postintervention, while PT is beneficial in managing depression symptoms at the treatment endpoint.

The difficulty of nuclear emergency prevention measures during natural disasters: ongoing challenges in Japan.

It is crucial to anticipate nuclear emergency scenarios and implement effective measures. Japan's climate and topography make it vulnerable to natural disasters; thus, it is necessary to address compounding and cascading disaster scenarios involving the simultaneous occurrence of natural and nuclear disasters. On 1 January 2024, an earthquake hit the Noto region of Ishikawa Prefecture, resulting in damage to the area around the Shika Nuclear Power Plant, located 90 km from the epicenter. This earthquake revealed that, in the event of a complex disaster, it is possible that residents living within 30 km of the Shika Nuclear Power Plant will be completely unprepared for a nuclear disaster. In the event of a complex disaster, it is crucial to implement appropriate countermeasures while balancing responses to both nuclear and natural disasters and optimizing radiation disaster prevention measures.

Enhancing natural disaster analysis and waste classification: a novel VGG-FL approach.

The study of natural disasters is a crucial field that involves analyzing the occurrence, impact, and aftermath of various natural hazards that can cause significant harm to communities and the environment. Efficient waste management and environmental protection require proper classification of waste. Analyzing natural disasters and categorizing waste can be a time-consuming task, and conventional methods often struggle with it. However, a new approach called Visual Geometry Group with Federated Learning (VGG-FL) has been introduced to address these challenges. This methodology uses the golden search optimization (GSO) algorithm for feature selection and leverages VGG with federated learning for feature extraction and classification. To test the effectiveness of this method, a disaster image dataset was used to train the VGG-FL model. The results showed that the VGG-FL model attained exceptional accuracy in discerning and categorizing various disaster scenarios. The waste classification dataset simultaneously trains the VGG-FL model to categorize waste based on its characteristics and potential hazards. To measure the model's performance, several evaluation metrics such as accuracy, specificity, precision, F1-score, and recall are utilized to assess the effectiveness of the proposed VGG-FL method. These results are then compared with existing methodologies. The VGG-FL method performs exceptionally well, achieving 98.52% accuracy, 97.48% precision, 97.83% recall, 97.58% F1-score, and 97.12% specificity. These experimental findings demonstrate the efficacy of the VGG-FL method in analyzing natural disasters and classifying waste materials.

A global map of species at risk of extinction due to natural hazards.

An often-overlooked question of the biodiversity crisis is how natural hazards contribute to species extinction risk. To address this issue, we explored how four natural hazards, earthquakes, hurricanes, tsunamis, and volcanoes, overlapped with the distribution ranges of amphibians, birds, mammals, and reptiles that have either narrow distributions or populations with few mature individuals. To assess which species are at risk from these natural hazards, we combined the frequency and magnitude of each natural hazard to estimate their impact. We considered species at risk if they overlapped with regions where any of the four natural hazards historically occurred (n = 3,722). Those species with at least a quarter of their range subjected to a high relative impact were considered at high risk (n = 2,001) of extinction due to natural hazards. In total, 834 reptiles, 617 amphibians, 302 birds, and 248 mammals were at high risk and they were mainly distributed on islands and in the tropics. Hurricanes (n = 983) and earthquakes (n = 868) affected most species, while tsunamis (n = 272), and volcanoes (n = 171) affected considerably fewer. The region with the highest number of species at high risk was the Pacific Ring of Fire, especially due to volcanoes, earthquakes, and tsunamis, while hurricane-related high-risk species were concentrated in the Caribbean Sea, Gulf of Mexico, and northwestern Pacific Ocean. Our study provides important information regarding the species at risk due to natural hazards and can help guide conservation attention and efforts to safeguard their survival.

Practices Supporting Community Recovery and Healing from Climate-Related Disasters: A Systematic Review.

This systematic review investigated the practices that support and hinder the recovery and healing of communities and the environments within which they live, following climate-related environmental disasters. Although the literature focused on recovery is dominated by interventions aimed at the individual and their mental health, a thematic analysis of thirty-six studies established a range of practices that enhance collective recovery and healing. Four narratives were identified from the findings highlighting key practices: (1) collective and community-led recovery; (2) recognising the criticality of context, place, and identity; (3) adopting a holistic conception of well-being and Country-centred practices; and (4) decolonising and Indigenising the literature. This study details recommendations for research and practice. First Nations' knowledges and healing practices need to be recognised and harnessed in climate-related environmental disaster recovery. Community-led interventions harness local knowledge, networks, and expertise, which improves the dissemination of resources and enables recovery efforts to be tailored to the specific needs of communities.

Maternal experiences of pregnant women affected by natural disasters: A modified grounded theory approach.

Pregnant women experience medical and psychological difficulties in their daily lives during disasters. Since the care provided to them in disaster situations is unclear, it is necessary to better understand their experiences. This study aims to identify the maternal experiences of pregnant women during natural disasters. This research employed a modified grounded theory approach. Twenty-three pregnant women, living in disaster-affected areas, were interviewed. The research methods were utilized and interpretive analysis was conducted, resulting in a diagram and storyline to describe the process. The characteristics of the maternal experiences fluctuated between "being unable to face pregnancy because of the disaster response" and "facing the fact of being pregnant." To maintain a fluctuation between their affected life and their pregnant life, it was necessary to control the weighting between "securing a safe and secure place," "encountering support based on pregnancy," and "signs from the fetus." Clarifying the maternal experiences of pregnant women living in disaster areas revealed a multilayered structure of categories and relationships. This study suggests that understanding the structure of fluctuations and control is critical for the nursing practice.

Global, regional and national trends and impacts of natural floods, 1990-2022.

Objective: To assess global, regional and national trends in the impact of floods from 1990 to 2022 and determine factors influencing flood-related deaths. Methods: We used data on flood disasters from the International Disaster Database for 1990-2022 from 168 countries. We calculated the annual percentage change to estimate trends in the rates of people affected and killed by floods by study period, World Health Organization (WHO) region, country income level and flood type. We used multivariable logistic regression analysis to assess the factors associated with death from floods. Findings: From 1990 to 2022, 4713 floods were recorded in 168 countries, which affected > 3.2 billion people, caused 218 353 deaths and were responsible for more than 1.3 trillion United States dollars of economic losses. The WHO Western Pacific Region had the most people affected by floods (> 2.0 billion), accounting for 63.19% (2 024 599 380/3 203 944 965) of all affected populations. The South-East Asia Region had the most deaths (71 713, 32.84%). The African and Eastern Mediterranean Regions had the highest number of people affected and killed by floods per 100 000 population in 2022. The odds of floods causing more than 50 deaths were significantly higher in low-income countries (adjusted odds ratio: 14.34; 95% confidence interval: 7.46 to 30.04) compared with high-income countries. Numbers of people affected and mortality due to floods declined over time. Conclusion: Despite the decreases in populations affected and deaths, floods still have a serious impact on people and economies globally, particularly in lower-income countries. Action is needed to improve disaster risk management and flood mitigation.

Critical Care in the Austere Environment.

Practice of critical care in austere settings involves navigating rapidly evolving environments, where physical resources, provider availability, and healthcare capacity are constrained. Austere Critical Care focuses on maintaining the highest standard of care possible for patients while also identifying resource limitations, responding to patient surges, and adhering to proper triage practices at the austere site. This includes transferring the patient when able and necessary. This article describes the current practice of critical care medicine in the austere environment, using recent natural disasters, pandemics, and conflicts as case studies.

Criteria for Deployment of the United States National Guard to Domestic Sudden-Onset Natural Disasters: A Scoping Review.

INTRODUCTION: This study is a scoping review to identify literature pertinent to the question: "What are the criteria for deployment of the United States National Guard (USNG) to domestic sudden-onset natural disasters (SODs)?" As this question relies on factors across many disciplines-legal, medical, technical, cultural-and as there is no foundational body of academic literature or unified governmental or USNG policy addressing this question, a scoping review was designed to identify the body of literature on which further research and policy decisions surrounding this question may be based. MATERIALS AND METHODS: On January 23, 2023 a modified PRISMA-ScR search was performed using an online search engine of the following databases: Academic Search Premier, Google Scholar, JSTOR, PubMed, Web of Science, and WorldCat. The inclusion criteria included the involvement of the USNG response to U.S. domestic SOD. Non-SOD results were excluded. Results from all years and of any type of literature were considered and were limited to the English language. First, titles and abstracts were screened by 2 independent reviewers. Then, a full-text review was performed by 2 independent reviewers. Finally, data were extracted from included texts by 2 independent reviewers. A third reviewer resolved any discrepancies at each stage. This study did not require approval of an institutional review board. RESULTS: Out of the 886 results identified by the original search, after the complete review process, 34 sources were relevant to the research question. Fifteen criteria for the deployment of the USNG to SODs were identified. Overwhelmed local responders, utility failure, the need for the provision of security, and the need for logistical coordination were the most commonly identified criteria. Hurricanes were the most common SOD addressed in the included literature, and most results were event reports. CONCLUSIONS: This modified PRISMA-ScR identified a foundation on which elected officials, USNG leadership, and the larger disaster response community may develop policies and disaster response plans to optimize available resources through the activation of the USNG when responding to SODs.

Effects of expanded adverse childhood experiences including school bullying, childhood poverty, and natural disasters on mental health in adulthood.

The study aimed to examine the association of expanded adverse childhood experiences (ACEs) with psychological distress in adulthood. The data from nation-wide online cohort was used for analysis. Community dwelling adults in Japan were included. The ACEs was assessed by 15 items of ACE-J, including childhood poverty and school bullying. Severe psychological distress was determined as the score of Kessler 6 over 13. Multivariable logistic regression analysis was conducted, by using sample weighting. A total of 28,617 participants were analyzed. About 75% of Japanese people had one or more ACEs. The prevalence of those with ACEs over 4 was 14.7%. Those with ACEs over 4 showed adjusted odds ratio = 8.18 [95% CI 7.14-9.38] for severe psychological distress. The prevalence of childhood poverty was 29% for 50-64 year old participants and 40% of 65 or older participants. The impact of childhood poverty on psychological distress was less than other ACEs in these age cohorts. Bullying was experienced 21-27% in young generations, but 10% in 65 or older participants. However, the impact on psychological distress in adulthood was relatively high in all age groups. ACEs have impacted mental health for a long time. Future research and practice to reduce ACEs are encouraged.

Examining the effectiveness of a training program on improving knowledge, functional skills, and attitude in natural disaster volunteers.

Introduction: Disaster relief volunteers must have certain psychological and cognitive characteristics. Therefore, the present study aimed to investigate the effectiveness of the training program on improving knowledge, functional skills, and attitude among disaster volunteers. Methods: A quasi-experimental study was conducted in 2023 in Iran, including an intervention and control group and follow-ups. Ninety health volunteers were randomly selected and divided into two groups of 45. The experimental group received the training program for an hour a week for three months. The control group received no intervention. The participants of both groups completed the disaster preparedness questionnaire at the pre-test, post-test, and one and three months after the intervention. Data was analyzed using SPSS "version 26" software in the methods section. Results: The intervention effect were significant in increasing the volunteers' functional skills (F = 3.75), knowledge (F = 166.50), and attitude (F = 1.74), all in (p = 0.001). According to the results, this effect was stable over time for functional skills (F = 1.83) and knowledge (F = 18.04) all in (p < 0.05). Conclusion: Training programs can help improve skills, attitudes and knowledge in natural disaster volunteers. Researchers interested in the field of natural disaster relief, particularly health researchers, could consider further examining the aforementioned topics in their studies.

Natural disaster and fertility preference: evidence from the tsunami in Indonesia.

Despite many discussions on the impacts of natural disasters on fertility outcomes, their implications for fertility preferences as a mechanism remain unexplored. This study proposes that natural disasters could promote fertility preferences by reinforcing traditional values. The empirical analysis relies on a post-tsunami longitudinal survey of individuals in the provinces of Aceh and North Sumatra in Indonesia frankenberg2020study. Out of the 28,376 survey respondents, our sample considers around 10,700 individuals aged 15 or more, whose responses are available for the variables used in the estimation. The results from individual-level cross-sectional regressions suggest that the ideal number of children increased with the extent of tsunami damage in that region. The increased fertility preference was more pronounced for people with greater religiosity and those who strengthened their family ties after the tsunami, supporting that the shift in fertility preference was intertwined with the rise of traditional values. For policymakers, our findings raise the need to consider the potentially lasting implications of shifts in cultural attitudes toward fertility beyond immediate post-disaster relief efforts. To address the limitations of our cross-sectional evidence, future research will need to investigate the dynamic relationship between fertility preferences and natural disasters using alternative data.

Short-term changes in mental health help-seeking behaviors following exposure to multiple social stressors and a natural disaster.

In 2020, unprecedented circumstances led to significant mental health consequences. Individuals faced mental health stressors that extended beyond the devastating impact of the COVID-19 pandemic, including widespread social unrest following the murder of George Floyd, an intense hurricane season in the Atlantic, and the politically divisive 2020 election. The objective of this analysis was to consider changes in help-seeking behavior following exposure to multiple social stressors and a natural disaster. Data from Crisis Text Line (CTL), a national text-based mental health crisis counseling service, was used to determine how help-seeking behavior changed in the wake of each event. Wilcoxon rank sum tests assessed changes in help-seeking behavior for each event in 2020 as compared to the same period in 2019. AutoRegressive Integrated Moving Average (ARIMA) models examined if changes in crisis conversation volumes following each event differed. Higher median conversation volumes noted for the COVID-19 pandemic (+1 to +5 conversations), Hurricane Laura (+1 to +7 conversations) and the 2020 Election (+1 to +26 conversations). ARIMA models show substantial increases in help-seeking behavior following the declaration of a national emergency for the COVID-19 pandemic (+4.3 to +38.2%) and following the 2020 election (+3 to +24.44%). Our analysis found that the mental health response following social stressors may be distinct from natural events, especially when natural disasters occur in the context of multiple social stressors. This analysis adds to the growing body of literature considering the mental health impact of exposure to multiple co-occurring societal stressors, like police violence and a global pandemic.

Field physical model tests on the mechanism of river blocking by debris flow in the middle reaches of the Dadu River, Southwest China.

Debris flow is a typical natural disaster in the middle reaches of the Dadu River, Southwest China. Field physical model tests were conducted to reveal the mechanism of river blocking by debris flow in the middle reaches of the Dadu River. The dynamic processes of riHver blocking by debris flows were revealed, and based on which three typical river-blocking modes of debris flow are observed, i.e. thrust-type river blocking, mixed-flow-type river blocking and progressive river blocking. The test results showed that the material composition of debris flows plays an important role in the river-blocking mode, only the tests that adopted the mixed soil and gravel exhibited the thrust-type river blocking mode. The material composition has a controlling effect on the thrust-type river-blocking model. Mixed-flow-type river-blocking mode appears most often in the tests with an intersection angle of 60°, because the small intersection angle is conducive to the mixing of the debris flow and the water in the main channel. The debris flows composed of sand tend to block the river with mixed-flow-type river-blocking mode, accounting for 50% of the occurrences in the model tests. The high flow rate and discharge in the main channel and the low flow rate and discharge in the branch channel are the key factors controlling the progressive river-blocking mode. The test results in this study can support the debris flow disaster prevention and mitigation in this area.