Enhanced Arabic disaster data classification using domain adaptation.

Natural disasters, like pandemics and earthquakes, are some of the main causes of distress and casualties. Governmental crisis management processes are crucial when dealing with these types of problems. Social media platforms are among the main sources of information regarding current events and public opinion. So, they have been used extensively to aid disaster detection and prevention efforts. Therefore, there is always a need for better automatic systems that can detect and classify disaster data of social media. In this work, we propose enhanced Arabic disaster data classification models. The suggested models utilize domain adaptation to provide state-of-the-art accuracy. We used a standard dataset of Arabic disaster data collected from Twitter for testing the proposed models. Experimental results show that the provided models significantly outperform the previous state-of-the-art results.

Natural disasters, livelihood, and healthcare challenges of the people of a riverine island in Bangladesh: A mixed-method exploration.

BACKGROUND: Bangladesh's islands, because of their geographical location, frequently encounter crises like floods and river erosion, which pose significant threats to the residents' well-being and livelihoods. To delve into the effects of these disasters on livelihood and healthcare challenges, a mixed-method study was undertaken in a riverine-island near a major river of Bangladesh. METHODOLOGY: Between February 15th and February 28th, 2023, a cross-sectional study was conducted on an island in Bangladesh. The quantitative method involved conducting a survey of 442 households, with a total of 2921 participants. Additionally, 10 in-depth interviews and 10 key-informant interviews were conducted using semi-structured guidelines. Qualitative interviews were audio-recorded, transcribed verbatim, and analyzed using a thematic analysis. Triangulation was employed in this study through the integration of qualitative and quantitative analysis, resulting in the presentation of findings that offer an in-depth comprehension of the phenomenon being investigated. RESULTS: River erosions and floods are common and recurring natural disasters that significantly impact the lives of the riverine island inhabitants. These disasters often disrupted their livelihoods, forced many residents to endure substandard living conditions or relocated during flood events. The island faced a low diagnostic prevalence of chronic diseases (e.g., 5.1% of adults were hypertension and 2.5% are diabetes) because of the absence of diagnostic facilities and a shortage of certified doctors. A significant number of chronic illness people in the community turned to alternative medicine sources (39.3%) such as homeopathy, Kabiraj, and Ayurvedic medicine, especially it gets increased during periods of natural disasters. Moreover, reproductive aged women revealed that 79.4% of them gave birth at home, with 6.0% of these home deliveries resulting in miscarriage or infant death. The destruction of crops, unstable job opportunities, an inadequate educational system, and a deficient healthcare delivery system exacerbated the hardships faced by the population affected by these disasters. CONCLUSION: The failure to seek treatment for chronic diseases and undiagnosed diseases is a significant health issue among the aging adults on the island. Island residents face the challenge of establishing effective prevention strategies for the well-being of older adults especially at the period of natural disasters. It is crucial for the government and non-governmental organizations (NGOs) to collaborate to prevent the negative effects of floods and river erosions. This should include efforts to enhance the quality of education, healthcare services, job opportunities, and financial assistance for rebuilding homes.

Social media-based demographic and sentiment analysis for disaster responses.

This study explores disaster responses across the United States for Winter Storm Jaxon in 2018 by utilizing demographic and sentiment analysis for Twitter®. This study finds that people show highly fluctuated responses across the study periods and highest natural sentiment, followed by positive sentiment and negative sentiment. Also, some sociodemographic and Twitter variables, such as gender and long text, are strongly related to human sentiment, whereas other sociodemographic and Twitter variables, such as age and the higher number of retweets, are not associated with it. The results show that governments and disaster experts should consider a multitude of sociodemographic and Twitter variables to understand human responses and sentiment during natural disaster events.

Mobile Apps to Support Mental Health Response in Natural Disasters: Scoping Review.

BACKGROUND: Disasters are becoming more frequent due to the impact of extreme weather events attributed to climate change, causing loss of lives, property, and psychological trauma. Mental health response to disasters emphasizes prevention and mitigation, and mobile health (mHealth) apps have been used for mental health promotion and treatment. However, little is known about their use in the mental health components of disaster management. OBJECTIVE: This scoping review was conducted to explore the use of mobile phone apps for mental health responses to natural disasters and to identify gaps in the literature. METHODS: We identified relevant keywords and subject headings and conducted comprehensive searches in 6 electronic databases. Studies in which participants were exposed to a man-made disaster were included if the sample also included some participants exposed to a natural hazard. Only full-text studies published in English were included. The initial titles and abstracts of the unique papers were screened by 2 independent review authors. Full texts of the selected papers that met the inclusion criteria were reviewed by the 2 independent reviewers. Data were extracted from each selected full-text paper and synthesized using a narrative approach based on the outcome measures, duration, frequency of use of the mobile phone apps, and the outcomes. This scoping review was reported according to the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). RESULTS: Of the 1398 papers retrieved, 5 were included in this review. A total of 3 studies were conducted on participants exposed to psychological stress following a disaster while 2 were for disaster relief workers. The mobile phone apps for the interventions included Training for Life Skills, Sonoma Rises, Headspace, Psychological First Aid, and Substance Abuse and Mental Health Services Administration (SAMHSA) Behavioural Health Disaster Response Apps. The different studies assessed the effectiveness or efficacy of the mobile app, feasibility, acceptability, and characteristics of app use or predictors of use. Different measures were used to assess the effectiveness of the apps' use as either the primary or secondary outcome. CONCLUSIONS: A limited number of studies are exploring the use of mobile phone apps for mental health responses to disasters. The 5 studies included in this review showed promising results. Mobile apps have the potential to provide effective mental health support before, during, and after disasters. However, further research is needed to explore the potential of mobile phone apps in mental health responses to all hazards.

Mass Decontamination of Companion Dogs in Disaster: Planning for Personnel, Water, and Time Requirements.

OBJECTIVE: The importance of companion animals in the daily lives of people, and the increasing incidence and severity of natural disasters impacting people and their animals, is very well documented. However, despite the advancement of companion animal response capabilities, decontamination remains an inconsistently implemented component of disaster response. The challenge for local authorities is their need for planning factors and protocols specific to companion animal decontamination which are generally lacking. Data is provided on the average time requirements, water use and containment resources necessary, and the personnel required to decontaminate (decon) a large number of companion dogs. METHODS: Sixty-three lightly contaminated, medium weight, short to medium coat, highly tractable dogs (Labradors and Hounds) from a State facility colony were used to determine the water requirements, soap effectiveness, and time required to complete decon (washing/bathing). Data were collected over a 6-mo period using 2 personnel that were randomly assigned to wash the dogs. Difference in weight, bathing time, and water use between groups was evaluated using a 2-tailed 2-sample t-test for independent data. RESULTS: The time and water requirements were significantly different between medium coated dogs and short coated dogs. On average, for a short coated dog, the amount of time to complete decon was 7 min, and the amount of water was 8-10 gal. For medium coated dogs, the time increased to 10-12 min to complete the process and 12-15 gal water. DISCUSSION: The results of this study provide important insights emergency management planners, animal response team members, and community personnel tasked with implementation of mass decontamination of companion dogs following a natural or man-made disaster.

Reproductive health challenges during a flood: A qualitative study.

AIM: The study aimed to investigate women's reproductive health challenges during floods. DESIGN: This study is qualitative, specifically employing content analysis with an inductive approach. METHODS: Data were collected through in-depth, semi-structured individual interviews between July and December 2021. The study involved 13 women affected by floods in Golestan province, Aq Qala Township, and also included seven healthcare providers and officials. Before the interviews, informed and written consent was obtained from all participants. The sampling process continued until data saturation was achieved. RESULTS: The analysis of the participants' experiences in this study revealed four main categories of requirements, which were as follows: Maternal and Child Health with four subcategories, Essentials of Women's Health Care with two subcategories, Problems of Relationships with two subcategories, and Aggression and Physical Violence with two subcategories. In conclusion, during floods, women encounter numerous challenges in preserving their reproductive health. Recognizing and understanding these challenges can be instrumental in effectively planning measures to prevent or address them during disasters like floods. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE IMPACT: Every disaster has unique conditions and challenges. The health requirements of individuals impacted by floods differ from those affected by other natural disasters. By identifying the specific reproductive health needs of women affected by floods, midwives and other healthcare providers can enhance their planning efforts, enabling them to better address and fulfil these needs during such critical situations. PATIENT OR PUBLIC CONTRIBUTION: Thirteen women were affected by floods, and seven healthcare providers and officials were interviewed.

A network analysis of Hurricane Maria-related traumatic stress and substance use among Puerto Rican youth.

Youth exposed to natural disasters are at risk of developing trauma-related symptoms as well as engaging in substance use. Although previous research has established associations between disaster-related stressors and substance use in youth, less has focused on how symptoms of posttraumatic stress disorder (PTSD) may underpin this association. The current study used network analysis to identify specific PTSD symptoms associated with substance use following a natural disaster. Participants were 91,732 youths (Grades 3-12) from across Puerto Rico who completed a needs assessment 5-9 months after Hurricane Maria made landfall in September 2017. We examined associations between PTSD symptoms and substance use, identified clusters of symptoms and bridges between them, and explored age- and binary gender-related differences in associations between specific PTSD symptoms and substance use. Analyses identified two symptom communities: (a) arousal and reactivity, negative alterations in cognition and mood, and substance use, and (b) avoidance and intrusion. Broader findings suggested that substance use was most strongly associated with PTSD-related irritability and angry outbursts among youths. Surrounding nodes explained only 4.1% of the variance in substance use, but this was higher among youths who reported not having a supportive adult, R2 = 8.5; friend, R2 = 7.9; or teacher/counselor, R2 = 7.7, in their life. The bridge symptoms of sleep disruption and physiological reactivity were identified as potentially critical intervention targets for disrupting PTSD symptom networks after a natural disaster. Implications for triaged mental health care following natural disasters and directions for future research are discussed.

Meta-analyses of motivational factors of response to natural disaster.

Response behavior of individuals is of critical importance to decrease chances of injury and death as well as ameliorate costs in property and infrastructure damage in natural disasters. Plenty of studies have examined which factors motivate individuals to respond to natural disasters. However, a systematic overview of the key motivating factors of various response behaviors is lacking. This study conducts a series of meta-analyses using data of 53,713 samples from 87 studies (77 papers) conducted in 27 different countries and regions to examine how 17 motivational factors were associated with individuals' response to natural disasters. The results indicate self-efficacy, outcome efficacy, attitudes, subjective norms, and information acquisition show the strongest effects on response behavior. Contrarily, the impact of negative affects like fear, depression, and anxiety on victims is minimal, despite the common assumption that they are significant related to response behaviour. In addition, current studies have disproportionally focused on studying risk perception, experience and information acquisition, earthquake and hurricane, and evacuation and preparation, while attention given to other types of motivational factors, disasters and response behaviors is lacking.

Exploring the impact of recovery funding on the well-being and health workforce capability of rural practices during natural disasters and emergencies.

INTRODUCTION: This study examines the impact of funding provided to support the well-being of rural health practitioners and their practice staff following the 2019-2022 bushfires. OBJECTIVE: To assess the benefits and implications of grant funding for rural practices to aid recovery following bushfires in NSW, Australia. DESIGN: An explanatory sequential mixed method design consisted of a survey and a thematic analysis of semi-structured Interviews. FINDINGS: Five key themes emerged from analysis: (1) the disasters altered the role of the practice and therapeutic relationships; (2) the funding had a positive impact on access to professional development; (3) the training had a positive impact on staff well-being and resilience; (4) the professional development had a positive impact on rural practitioner's sense of capability; and (5) important elements of future grant opportunities. DISCUSSION: The findings indicate the importance of recovering funding to facilitate access to professional development for rural health practioners during natural disasters which improved their mental health and wellbeing, capability and support to clients. CONCLUSION: Recovery funding facilitated improvement in workforce capability, professional resilience, mental health and well-being in the face of natural disasters and emergencies. There was a link between training and maintaining the capability of rural health care practitioners and their practice staff. Capability was an important factor in the well-being and resilience of the health workforce and their ability to support clients.

Global Research on Natural Disasters and Human Health: a Mapping Study Using Natural Language Processing Techniques.

PURPOSE OF REVIEW: This review aimed to systematically synthesize the global evidence base for natural disasters and human health using natural language processing (NLP) techniques. RECENT FINDINGS: We searched Embase, PubMed, Scopus, PsycInfo, and Web of Science Core Collection, using titles, abstracts, and keywords, and included only literature indexed in English. NLP techniques, including text classification, topic modeling, and geoparsing methods, were used to systematically identify and map scientific literature on natural disasters and human health published between January 1, 2012, and April 3, 2022. We predicted 6105 studies in the area of natural disasters and human health. Earthquakes, hurricanes, and tsunamis were the most frequent nature disasters; posttraumatic stress disorder (PTSD) and depression were the most frequently studied health outcomes; mental health services were the most common way of coping. Geographically, the evidence base was dominated by studies from high-income countries. Co-occurrence of natural disasters and psychological distress was common. Psychological distress was one of the top three most frequent topics in all continents except Africa, where infectious diseases was the most prevalent topic. Our findings demonstrated the importance and feasibility of using NLP to comprehensively map natural disasters and human health in the growing literature. The review identifies clear topics for future clinical and public health research and can provide an empirical basis for reducing the negative health effects of natural disasters.

Can sustainable entrepreneurship be achieved through green knowledge sharing, green dynamic capabilities, and green service innovation?

Expansion of business activities comes with various environmental and natural disasters, hence agitating the economies and academia to present the counter and effective solution. Researchers also pinpointed prior that there exists a dark side of business expansion such as lacking of green innovative activities and dynamic capabilities which are creating resistance to achieve sustainability. Besides, literature also claims that green innovation is a crucial segment to achieve competitive edge that leads to sustainable entrepreneurship; however, it is not easier to be achieved as green innovation along green capabilities makes a complex network which consists of embedded partners, hence, also in dire need of green knowledge sharing as well to make the process smooth. In this lieu, the study aims to scrutinize the effectiveness of green knowledge sharing, green dynamic capabilities, and green service innovation on green entrepreneurship in the presence of gender role as a moderator. Empirical estimations calculated through PLS methodology reveal that green knowledge sharing, green dynamic capabilities, and green service innovation has a positive and significant linkage with green entrepreneurship in Vietnam. The outcomes also exposed that the male gender role significantly moderates the said relationship in Vietnam. Findings confirm that adoption sustainability practices such as green knowledge sharing, innovation, and dynamic capabilities are helpful to fulfill sustainable entrepreneurship demand; hence, further research is needed to extend the framework along with existing concepts.

Natural disasters: a comprehensive study using EMDAT database 1995-2022.

INTRODUCTION: The frequency, intensity, and geographical reach of natural disasters, fueled in part by factors such as climate change, population growth, and urbanization, have undeniably been escalating concerns around the world. DESIGN AND METHODS: This is a retrospective analysis of natural disasters recorded in the Emergency Events Database from 1995 to 2022. RESULTS: Between 1995 and 2022, 11,360 natural disasters occurred, with a mean of 398 per year. Asia experienced the most disasters (4390) and the highest number of casualties (918,198). Hydrological disasters were the most common subgroup (4969), while geophysical disasters led in terms of deaths (770,644). Biological disasters caused the most injuries (2544), particularly in Africa. CONCLUSION: Recognizing the historical impacts of the various subtypes of natural disasters may help different regions better risk analyze and mitigate the unique risks associated with such events.

Healthcare and successive natural disasters: Lessons still to be learned.

This article explores the increasing impact of natural disasters on healthcare leadership and disaster preparedness, particularly in Fort McMurray, Alberta. It underscores the importance of building disaster resilience in healthcare, distinguishing between emergencies, disasters, and catastrophes, and advocating for a multi-dimensional resilience approach. The need for robust electronic communication channels and comprehensive family-oriented evacuation plans, considering family and pet safety, is emphasized. The protection of vulnerable patients, the importance of resilient healthcare infrastructure, and dedicated protective equipment for first responders are also discussed. The article highlights the critical role of government support in flood prevention and disaster preparedness. Through the experiences of Fort McMurray, the article demonstrates the necessity of comprehensive disaster planning and the crucial role of healthcare systems in rapid recovery and adaptation in the face of disasters. It aims to contribute to an improved understanding and strategies for managing such critical situations in the future.

Natural disasters, foreign direct investment, and women's rights in developing countries.

We examine the conditions under which women's economic and political status is less vulnerable in the aftermath of natural disasters. We theorize that women in natural disaster-hit countries that receive higher levels of foreign direct investment (FDI) are less susceptible to the gendered impacts of those disasters. Since FDI is vital to post-disaster economic recovery, countries grappling with natural disasters are motivated to uphold women's rights as a strategy to attract FDI. Furthermore, multinational corporations (MNCs)' operation and commitment to gender equality-based values and practices are also an impetus to address the deterioration in respect for women's rights. By conducting a time-series cross-sectional, ordered logistic analysis with random effects and using a comprehensive dataset on natural disasters and women's rights, including 107 developing countries from 1990 to 2011, we find that FDI mitigates natural disasters' adverse effects on women's economic rights but not their political rights.

Etiology and incidence of postpartum depression among birthing women in the scenario of pandemics, geopolitical conflicts and natural disasters: a systematic review.

Postpartum depression (PPD) is classified under postpartum psychiatric disorders and initiates soon after birthing, eliciting neuropsychological and behavioral deficits in mothers and offspring. Globally, PPD is estimated to be associated with 130-190 per 1000 birthing. The severity and incidences of PPD have aggravated in the recent years due to the several unfavorable environmental and geopolitical circumstances. The purpose of this systematic review hence is to explore the contributions of recent circumstances on the pathogenesis and incidence of PPD. The search, selection and retrieval of the articles published during the last three years were systematically performed. The results from the primary studies indicate that unfavorable contemporary socio-geopolitical and environmental circumstances (e.g. Covid-19 pandemic, political conflicts/wars, and natural calamities; such as floods and earthquakes) detrimentally affect PPD etiology. A combination of socio-economic and psychological factors, including perceived lack of support and anxiousness about the future may contribute to drastic aggravation of PPD incidences. Finally, we outline some of the potential treatment regimens (e.g. inter-personal psycho- and art-based therapies) that may prove to be effective in amelioration of PPD-linked symptoms in birthing women, either alone or in complementation with traditional pharmacological interventions. We propose these psychological and art-based intervention strategies may beneficially counteract the negative influences of the unfortunate recent events across multiple cultures, societies and geographical regions.

Edge-based graph neural network for ranking critical road segments in a network.

Transportation networks play a crucial role in society by enabling the smooth movement of people and goods during regular times and acting as arteries for evacuations during catastrophes and natural disasters. Identifying the critical road segments in a large and complex network is essential for planners and emergency managers to enhance the network's efficiency, robustness, and resilience to such stressors. We propose a novel approach to rapidly identify critical and vital network components (road segments in a transportation network) for resilience improvement or post-disaster recovery. We pose the transportation network as a graph with roads as edges and intersections as nodes and deploy a Graph Neural Network (GNN) trained on a broad range of network parameter changes and disruption events to rank the importance of road segments. The trained GNN model can rapidly estimate the criticality rank of individual road segments in the modified network resulting from an interruption. We address two main limitations in the existing literature that can arise in capital planning or during emergencies: ranking a complete network after changes to components and addressing situations in post-disaster recovery sequencing where some critical segments cannot be recovered. Importantly, our approach overcomes the computational overhead associated with the repeated calculation of network performance metrics, which can limit its use in large networks. To highlight scenarios where our method can prove beneficial, we present examples of synthetic graphs and two real-world transportation networks. Through these examples, we show how our method can support planners and emergency managers in undertaking rapid decisions for planning infrastructure hardening measures in large networks or during emergencies, which otherwise would require repeated ranking calculations for the entire network.

"One community at a time": promoting community resilience in the face of natural hazards and public health challenges.

BACKGROUND: Resilience is vital for facing natural disasters and public health challenges. Despite the significance of resilience-building activities, there is a scarcity of locally-tailored planning and response strategies, leaving communities incapable of addressing the unique challenges posed by natural disasters and public health crises. This study aims to explore how the "One Community at a Time" approach enhances community resilience in facing natural hazards and public health challenges. METHODS: A systematic review was conducted over journal articles published from January 2001 to April 2023 through PRISMA approach. Multiple databases such as Web of Science and Scopus were thoroughly searched. We used independent screening by two researchers and painstaking data extraction using standardized forms. This approach was adopted to assure the reliability, validity, and precision of our study selection and analysis. The included studies' quality was evaluated by the Mixed Methods Appraisal Tool. RESULTS: In the evaluation, 35 studies were deemed eligible for inclusion and underwent in-depth examination. Several major components of "One Community at a Time" have been identified, including social capital and networks, local knowledge and learning, effective governance and leadership, preparedness and response capacity, and adaptive infrastructure and resources. This framework highlights the significance of individualized approaches to resilience-building initiatives, recognizing that each community has specific strengths, needs, and challenges. CONCLUSION: Relevant stakeholders can adapt suitable resilient strategies to help prepare and recover from natural hazards and public health challenges. By adopting a localized strategy, stakeholders can collaborate to develop a culture of readiness and resilience, ultimately leading to more sustainable and resilient communities. This framework advises community-based groups, local government, and other stakeholders on prioritizing partnerships, preparedness planning, community participation, and leadership as essential components of creating and maintaining resilience. "One Community at a Time" framework offers practical guidance for community-based organizations, local government, and other stakeholders to prioritize partnerships, preparedness planning, community participation, and leadership as essential components of creating and sustaining resilience.