The measurement of rural community resilience to natural disaster in China.

Comparing with cities, rural communities especially those declining rural communities have become vulnerable to natural disasters owing to their backward socioeconomic conditions. Taking Xun County of China's Henan Province as the study area, the paper aims to evaluate rural community resilience to flood by unveiling the connection between individuals' cognition, follow-up actions and the community resilience. Research results show that: (1) The logic chain exists as individual's cognition to disaster leads to their constructive actions to cope with disaster, which contribute to community resilience. (2) At the cognition dimension, individual's knowledge reserve of disaster prevention and their recognition to local authority are playing an important role in their decision making and follow-up behaviors when disaster occurs. (3) At the action dimension, individual's familiarity with the disaster preparedness, efficient information transmission when disaster occurs and villagers' following order and their unity of action all contribute to community resilience to disaster. The paper proposes ways to improve rural community resilience to disasters based on the research findings.

Experiences Accessing Health and Social Services during and after Natural Disasters among People Who Use Drugs in Houston, Texas.

People who use drugs (PWUD) disproportionately experience health-related and social vulnerabilities, which may affect service needs and access during and after natural disasters. We conducted qualitative interviews with N = 18 PWUD recruited via a syringe services program in Houston, Texas. We assessed their health and social service needs, as well as related service access experiences, during and after natural disasters using a combined inductive-deductive approach. Participants described a range of service-related needs related to illicit drug use, poverty, neighborhood disadvantage, acute and chronic health problems, and housing insecurity. They endorsed decreased access to medical and substance-related services and difficulty accessing disaster relief aid. Interviews highlighted the importance of mutual aid for sharing harm reduction supplies and meeting practical needs. Results suggest that some PWUD experience disproportionate vulnerability after natural disasters related to multiple marginalized identities that intersect with illicit drug use.

Hispanic Cancer Survivors Exposed to Multiple Natural Disasters: Pre-Post-Disaster Changes in Anxiety, Depression, PTSD, Perceived Stress, and Physical Symptom Burden.

BACKGROUND: Studies evaluating the effects of natural disasters on cancer outcomes are scarce, especially among USA ethnic minority groups, and none have focused on the effects of concurrent natural disasters and the COVID-19 pandemic. The goal of this secondary data analysis is to explore the impact of concurrent exposure to COVID-19 and earthquakes on psychological distress and symptom burden among Puerto Rican cancer survivors. METHODS: This secondary data analysis (n = 101) was part of a longitudinal case-control cohort study (n = 402) aimed at describing unmet psychological needs among Puerto Rican cancer patients and non-cancer subjects previously exposed to Hurricane María in 2017. The research team pooled data from participants (cancer survivors and non-cancer group) from their baseline assessments and from follow-up assessments conducted during January-July 2020 (earthquake and the lockdown period). A descriptive, paired t-test, non-parametric mean rank test, and two-sided Pearson correlation analyses were performed. RESULTS: Psychological distress and cancer symptom burden diminished over time. Resilience was significantly correlated with all the psychological and symptom burden variables during both pre- and post-earthquake and COVID-19 assessment periods. CONCLUSIONS: The results support the role of resilience, social support, and post-traumatic growth as potential protective factors preventing psychological distress and diminishing cancer symptom burden among cancer survivors exposed to natural disasters and the COVID-19 pandemic.

Multimodal Social Sensing for the Spatio-Temporal Evolution and Assessment of Nature Disasters.

Social sensing, using humans as sensors to collect disaster data, has emerged as a timely, cost-effective, and reliable data source. However, research has focused on the textual data. With advances in information technology, multimodal data such as images and videos are now shared on media platforms, aiding in-depth analysis of social sensing systems. This study proposed an analytical framework to extract disaster-related spatiotemporal information from multimodal social media data. Using a pre-trained multimodal neural network and a location entity recognition model, the framework integrates disaster semantics with spatiotemporal information, enhancing situational awareness. A case study of the April 2024 heavy rain event in Guangdong, China, using Weibo data, demonstrates that multimodal content correlates more strongly with rainfall patterns than textual data alone, offering a dynamic perception of disasters. These findings confirm the utility of multimodal social media data and offer a foundation for future research. The proposed framework offers valuable applications for emergency response, disaster relief, risk assessment, and witness discovery, and presents a viable approach for safety risk monitoring and early warning systems.

[AI based Evaluation of Psychotrauma related to Lahars in the Commune of Prêcheur in the French Antilles]. / Évaluation assistée par IA des psychotraumatismes liés aux lahars dans la commune du Prêcheur aux Antilles françaises.

Objectives Natural disasters have a significant impact on mental health. Data collected from the population offer a unique opportunity for post-disaster monitoring to help identify psychological support needs. The aim of this study is: 1) to identify psychopathological aspects for the county of Prêcheur at risk from lahars (volcanic lava), and 2) to phenotype psychopathological aspects from data collected from the population. Method We applied an artificial intelligence (AI) assisted psycho-phenotyping method to data from 40 people over a 20-month period, to extract psychopathological and psychiatric aspects linked to traumatic natural hazards. These were then compared with the results of psychometric tests measuring overall mental health and post-traumatic stress. Results Rumination and negativation were among the most important psychopathological aspects identified. In addition, we noted the presence of re-experiencing and avoidance as core psychiatric dimensions over time. Among these, cognitive avoidance and emotional avoidance were found and seem to have emerged after the disaster. Conclusion We have proposed a new syndromic surveillance approach for mental health based on digital data that can support conventional approaches by providing additional useful information in the context of a disaster. Further studies are needed to better control bias, identify associations with valid instruments, and explore computational methods for continuous adjustment of the AI-analysis model.

Implementation of medication for opioid use disorder treatment during a natural disaster: The PROUD-LA study.

BACKGROUND: The impacts of climate change-related extreme weather events (EWEs) on Medication for Opioid Use Disorders (MOUD) implementation for Medicaid beneficiaries are relatively unknown. Such information is critical to disaster planning and other implementation strategies. In this study we examined implementation determinants and strategies for MOUD during EWEs. METHODS: The Louisiana-based Community Resilience Learning Collaborative and Research Network (C-LEARN) utilized Rapid Assessment Procedures-Informed Community Ethnography (RAPICE), involving community leaders in study design, execution, and data analysis. We conducted qualitative semi-structured interviews with 42 individuals, including MOUD Medicaid member patients and their caregivers, healthcare providers and administrators, and public health officials with experience with climate-related disasters. We mapped key themes onto updated Consolidated Framework for Implementation Research domains. RESULTS: MOUD use is limited during EWEs by pharmacy closures, challenges to medication prescription and access across state lines, hospital and clinic service limits, overcrowded emergency departments, and disrupted communications with providers. MOUD demand simultaneously increases due to the stress associated with displacement, resource loss, the COVID-19 pandemic, and social determinants of health. Effective implementation strategies include healthcare system disaster plans with protocols for clear and regular patient-provider communication, community outreach, additional staffing, and virtual delivery of services. Providers can also increase MOUD access by having remote access to EHRs, laptops and contact information, resource lists, collaborative networks, and contact with patients via call centers and social media. Patients can retain access to MOUD via online patient portals, health apps, call centers, and provider calls and texts. The impact of EWEs on MOUD access and use is also influenced by individual characteristics of both patients and providers. CONCLUSIONS: The increasing frequency and severity of climate-related EWEs poses a serious threat to MOUD for Medicaid beneficiaries. MOUD-specific disaster planning and use of telehealth for maintaining contact and providing care are effective strategies for MOUD implementation during EWEs. Potential considerations for policies and practices of Medicaid, providers, and others to benefit members during hurricanes or major community stressors, include changes in Medicaid policies to enable access to MOUD by interstate evacuees, improvement of medication refill flexibilities, and incentivization of telehealth services for more systematic use.

Assessing the district-level flood vulnerability in Bihar, eastern India: an integrated socioeconomic and environmental approach.

States of India like Bihar, Uttar Pradesh, and West Bengal along the Ganga River, endure natural disasters periodically, resulting in repeated trends of economic loss and damages. Especially, most of the districts of Bihar, India, are prone to floods. Based on this background, this study aims to assess the flood vulnerabilities across districts of Bihar, India, employing data from the Central Water Commission from 1953 to 2020. Further, we explore trends and patterns of loss and damage due to flood risks in Bihar. Using the flood vulnerability integrated method and the principal component analysis, the index is constructed by incorporating the three major indicators: exposure, sensitivity, and adaptive capacity. This study is unique, and advances from previous studies in using a greater number of variables in exposure indicator. The proxy variable for each indicator is identified through both inductive and deductive approaches, and the composite index is constructed using all three indicators. Also, we identify the districts with high level of education and per capita income are less likely to expose flood vulnerability. The comparison of the districts reflects wide range of variation in terms of flood vulnerability as per their adaptive capacity and sensitivity. Specifically, these findings align with Target Sustainable Development Goal 11.5. This study addresses the policy for disaster prevention, risk reduction, and mitigation measures, as well as the enhancement of the capability of adaptation to floods by the affected community.

Rural Natural Disaster Stress: A Survey of Community Resource Use and Effect.

OBJECTIVE: This study identified rural community experiences and preferences related to available resources and their effects on stress following tornadoes and floods. METHODS: The Rural Natural Disaster Stress and Recovery survey was distributed from December 2021 to February 2022 in rural disaster-affected communities. Within the analysis sample (N = 159) of self-selected participants representing both agricultural and non-agricultural occupations, 125 responded to the Resource Use and Effect survey component that evaluated the effects of 22 resources on post-disaster stress. Additional qualitative questions provided further data. RESULTS: The most frequently used resources post-disaster were found to be talking about the event (98.3%), friends and neighbors (97.6%) and family (97.6%). Using a derived Impact per Use score, groups from the neighboring community and personal faith activities most often reduced stress. Resources that increased stress were identified as FEMA or other government organizations; repairing, replacing, or rebuilding property; and following news or social media. Participants reported help from their community (35.8%) or things they did for themselves (31.2%) most effectively decreased disaster stress. Family, friends, faith, neighbors, and community were top choices to decrease stress in a future disaster. CONCLUSION: Rural residents identified available resources for reducing disaster stress, but some common post-disaster activities were found to increase stress. Rural emergency management should adapt response and recovery plans and activities to leverage readily accessible people, groups, and activities to mitigate negative mental and emotional health effects.

Climate Change and Aging: Implications for Psychiatric Care.

PURPOSE OF REVIEW: We reviewed recent evidence regarding the impact of climate change (specifically, high ambient temperatures, heatwaves, weather-related disasters, and air pollution) on older adults' mental health. We also summarized evidence regarding other medical problems that can occur in aging adults in connection with climate change, resulting in psychiatric manifestations or influencing psychopharmacological management. RECENT FINDINGS: Older adults can experience anxiety, depressive, and/or posttraumatic stress symptoms, as well as sleep disturbances in the aftermath of climate disasters. Cognitive deficits may occur with exposure to air pollutants, heatwaves, or post-disaster. Individuals with major neurocognitive disorders and/or preexisting psychiatric illness have a higher risk of psychiatric hospitalizations after exposure to high temperatures and air pollution. There is a growing body of research regarding psychiatric clinical presentations associated with climate change in older adults. However, there is a paucity of evidence on management strategies. Future research should investigate culturally appropriate, cost-effective psychosocial and pharmacological interventions.

Rate of Asthma Prescriptions for Children and Adolescents During the 2018 Floods in Japan.

BACKGROUND AND OBJECTIVES: Victims of natural disasters are exposed to air pollution, changes in living conditions, and physical/emotional stress, which leads to exacerbation of asthma. The study aimed to examine the association between being victims of a natural disaster and asthma medication prescriptions among children and adolescents by comparing those affected and unaffected by the 2018 Japan floods. METHODS: Within the most severely impacted regions, a 1-year postdisaster retrospective cohort study was conducted on the basis of the National Health Insurance Claims Database. Participants aged 0 to 19 years with no record of asthma treatment in the year preceding the disaster were included in the analysis. The cumulative incidence of newly prescribed asthma inhalers in the 12 months after the disasters was compared between victims and nonvictims using survival analysis. To test the robustness, a difference-in-differences analysis was performed, including participants with a history of asthma prescriptions. RESULTS: Of the 1 073 170 participants included in the study, 4425 (0.40%) were assigned to the victim group. Of these, 287 individuals (6.5%) from the victim group and 59 469 individuals (5.6%) from the nonvictim group were newly prescribed asthma inhalers within the year after the floods. Survival analysis revealed that victims were more prone to receiving inhaler prescriptions compared with nonvictims (adjusted hazard ratio 1.30; 95% confidence interval 1.16-1.46). Consistent results were obtained from the difference-in-differences analysis. CONCLUSIONS: The 2018 Japan floods increased the demand for asthma inhalers among flood victims, underscoring the general implication that natural disasters can increase the incidence of asthma.

Norma técnica disponível: transferência de leite humano pasteurizado em situação de emergência ou estado de calamidade pública

A Rede Brasileira de Bancos de Leite Humano (rBLH-BR) anuncia a publicação da Norma Técnicas BLH-IFF/NT 56.24 - Transferência de Leite Humano Pasteurizado em Situação de Emergência ou Estado de Calamidade Pública. Esta Norma Técnica tem por objetivo estabelecer os critérios de transferência interredes do leite humano pasteurizado, no âmbito da Rede Brasileira de Bancos de Leite Humano, em situação de emergência ou estado de calamidade pública.

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.

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.

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.

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.

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.

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.