Psychological Impact of Disaster Relief Operations: A Study Following Consecutive Earthquakes in Turkey.

OBJECTIVE: This cross-sectional study investigates the immediate psychological effects of disaster relief operations on team members following 2 consecutive major earthquakes in Turkey. METHODS: A total of 170 participants, including professional firefighters, search and rescue (SAR) workers, and volunteers, were surveyed approximately 1 month after the conclusion of active SAR operations. The study utilizes the DSM-V criteria and the Posttraumatic Stress Disorder Checklist (PCL-5) to assess symptoms of post-traumatic stress disorder (PTSD) among participants. RESULTS: The findings reveal a point prevalence of 35.3% for probable PTSD, highlighting the substantial psychological impact on disaster relief teams. Factors such as age, residency in affected areas, and active SAR involvement significantly influenced probable PTSD rates. Interestingly, actively engaged SAR members had lower probable PTSD rates, possibly due to their training. Those who directly witnessed the earthquakes had higher scores, highlighting the impact of firsthand exposure. Additionally, individuals aged 50 and above displayed a higher mean total severity score compared to younger participants. CONCLUSIONS: This research contributes to understanding the mental well-being of disaster relief professionals. The study's findings underscore the importance of timely mental health support and training for these responders, emphasizing the need for preparedness in disaster relief teams.

Does Disaster Severity Have a Long-Term Effect on Survivors' Disaster Preparedness? A Survey a Decade after the 2008 Wenchuan Earthquake in China.

OBJECTIVES: Disaster experiences have long-term effects on disaster preparedness. This study examined the long-term (10-y) effect of disaster severity of the 2008 Wenchuan earthquake on survivors' disaster preparedness and the moderating effects of household vulnerability. METHODS: The data were collected in January 2018 covering 30 counties in Wenchuan earthquake-stricken areas. The dependent variable was survivors' disaster preparedness (including overall, material, knowledge and awareness, and action preparedness) in 2018. Disaster severity included survivors' housing damage and county death rate caused by the earthquake in 2008. Household vulnerability is a set of conditions that negatively affects the ability of people to prepare for and withstand disaster, proxied by households' per-capita income and the highest years of schooling of household members. We performed multivariable linear regression models to answer the research questions. RESULTS: A higher county death rate was associated with better overall preparedness (ß = 0.043; P < 0.05) and knowledge and awareness preparedness (ß = 0.018; P < 0.05), but housing damage was not significantly associated with disaster preparedness. The positive association of county death rate with overall preparedness (ß = -0.065; P < 0.05) becomes weaker when a household has a higher per-capita income. Also, with the household per-capita income increasing, the associations of county death rate with material preparedness (ß = -0.037; P < 0.05) and action preparedness (ß = -0.034; P < 0.01) become weaker. CONCLUSIONS: Disaster severity has positive and long-term effects on survivors' disaster preparedness. Also, the positive and long-term effects are affected by household vulnerability. Specifically, the positive and long-term effects of disaster severity on disaster preparedness are more substantial when a household is more vulnerable.

Relationship Between Disaster Response Self-Efficacy and Disaster Preparedness in Nursing Students: After-Earthquake Study.

OBJECTIVE: This study was conducted to reveal the relationship between nursing students' disaster response self-efficacy and their disaster preparedness perceptions. METHODS: This cross-sectional study was conducted on nursing students after a major earthquake that occurred in Turkey on February 6, 2023 (n = 302). Data collection took place from June 2023 to October 2023, using the Disaster Response Self-Efficacy Scale (DRSES) and Disaster Preparedness Perception Scale (DPPS). Descriptive statistics, independent samples t-test, correlation, and multiple linear regression analysis were used to analyze the data. RESULTS: Nursing students' DRSES mean score was 63.35 ± 10.83 (moderate level) and DPPS mean score was 3.41 ± 0.50 (high level). A positive and moderate correlation was found between nursing students' DRSES and DPPS scores (r = 0.515; P = 0.000). Predictors affecting nursing students' disaster preparedness are disaster response self-efficacy score, being male, and making a family disaster plan. CONCLUSIONS: The results of this study highlight the importance of increasing the disaster response self-efficacy needed by nursing students to successfully assist patients in disaster situations.

Earthquake in Turkey: The Triangle of Life and Disaster Kits Saves Lives.

OBJECTIVE: Precautions taken before an earthquake are of vital importance. When buildings collapse, the weight of the ceiling crushes objects such as furniture, leaving a space or void within the rubble. This area is called the "triangle of life." The larger and stronger the object, the more it will maintain its volume; the more the object maintains its volume, the larger the void will be, and the less likely it is that the person who uses this void will be injured. METHODS: Durable, solid furniture such as beds and tables that can be tipped over during an earthquake in appropriate areas in the building can form a living triangle. Creating and using the triangle of life is the method of protection in an earthquake that produces the highest probability of survival. RESULTS: Two earthquakes with magnitudes of 7.8 and 7.5 occurred in Kahramanmaras, Turkey, on February 6, 2023. This report presents the case of a 43-y-old female victim of these earthquakes who used the triangle of life to survive; she was removed from the rubble 164 h after the earthquake. CONCLUSIONS: The case provides evidence that predetermining areas in which the triangle of life can be formed and storing supplies necessary for survival can decrease morbidity and mortality in an earthquake.

The influence of new information that contradicts common knowledge about earthquake preparedness in Israel: A mixed methods experiment study.

BACKGROUND: A major earthquake in Israel is inevitable. Individual risk perceptions and preparedness can mitigate harm and save lives. The gap between the public's concerns and those of experts is reflected in their differential perceptions regarding the components that influence the occurrence of an earthquake in Israel. Whereas the public believes that geographic location is the critical variable, the experts note additional variables that need to be considered. Common knowledge regarding the risks of earthquake occurrence in Israel is based on a distinction between high and low-risk areas, such that the closer a residential area is to the Great Rift Valley, the higher the risk that an earthquake will occur. OBJECTIVES: To examine the variables affecting public preparedness in Israel (effective communication agent (communicator), high and low earthquake risk areas) and the degree to which experts' knowledge contradicts respondents' common knowledge. METHODS: The study used a mixed-methods approach combining qualitative and quantitative research. The first stage included in-depth interviews with earthquake experts (n = 19). The second stage consisted of an experiment conducted among a representative sample of the public (n = 834). RESULTS: Most people believe that geographical location constitutes the main risk factor for earthquakes in Israel. Yet experts claim that additional variables affect earthquake intensity and damage: building strength, earthquake magnitude, distance from earthquake epicenter, soil type, and interaction between these four. The study found that knowledge of expert information affects public willingness to prepare. The direction of this influence depends on participants' risk perceptions regarding residential area and on degree of consistency with common knowledge. In low-risk areas, added knowledge increased willingness to prepare whereas in high-risk areas this knowledge decreased willingness. CONCLUSION: To turn expert information into common knowledge and to increase earthquake preparedness, the authorities must educate the public to generate a new public preparedness norm.

Causal Inference in Studying the Long-Term Health Effects of Disasters: Challenges and Potential Solutions.

Two frequently encountered but underrecognized challenges for causal inference in studying the long-term health effects of disasters among survivors include 1) time-varying effects of disasters on a time-to-event outcome and 2) selection bias due to selective attrition. In this paper, we review approaches for overcoming these challenges and demonstrate application of the approaches to a real-world longitudinal data set of older adults who were directly affected by the 2011 Great East Japan Earthquake and Tsunami (n = 4,857). To illustrate the problem of time-varying effects of disasters, we examined the association between degree of damage due to the tsunami and all-cause mortality. We compared results from Cox regression analysis assuming proportional hazards with those derived using adjusted parametric survival curves allowing for time-varying hazard ratios. To illustrate the problem of selection bias, we examined the association between proximity to the coast (a proxy for housing damage from the tsunami) and depressive symptoms. We corrected for selection bias due to attrition in the 2 postdisaster follow-up surveys (conducted in 2013 and 2016) using multivariable adjustment, inverse probability of censoring weighting, and survivor average causal effect estimation. Our results demonstrate that analytical approaches which ignore time-varying effects on mortality and selection bias due to selective attrition may underestimate the long-term health effects of disasters.

Association between atrial fibrillation and white blood cell count after the Great East Japan Earthquake: An observational study from the Fukushima Health Management Survey.

ABSTRACT: We had earlier reported about the increase in the prevalence of atrial fibrillation (AF) among residents in the evacuation zone of Fukushima Prefecture after the Great East Japan Earthquake. In the present investigation, we explored the association between the prevalence of AF and white blood cell (WBC) count after the earthquake through an observational cross-sectional study.A total of 14,800 participants (6427 men and 8373 women) were included in the Fukushima Health Management Survey. For the present study, 12-lead electrocardiogram tracings and the WBC count and its subtypes were obtained and analyzed. The odds ratios (ORs) of AF after the earthquake and the 95% confidence intervals (CIs) for one standard deviation of differential WBC count were calculated after adjustments for age and other potential confounding factors using the logistic regression model.Our results revealed a prevalence of AF of 1.8% (269 participants) after the earthquake. Monocyte count and neutrophil/lymphocyte ratio exhibited a significant association with the prevalence of AF in the multivariable-adjusted model. The adjusted ORs of monocyte count and neutrophil/lymphocyte ratio for AF were 1.21 (95% CI, 1.05-1.40, P = .01) and 1.22 (95% CI, 1.01-1.44, P < .05), respectively.The prevalence of AF was associated with increased monocyte count and neutrophil/lymphocyte ratio among residents in the evacuation zone in Fukushima Prefecture, suggesting that inflammation and psychological stress could be important factors mediating the development of AF after the earthquake.

Large-scale experiment to assess the collision impact force from a tsunami wave on a drifting castaway.

Although most fatalities in tsunami-related disasters are conjectured to be a result of drowning, injury risk owing to collision with other floating debris or fixed buildings has not been studied sufficiently. In this study, the impact force corresponding to the collision of a concrete block and drifting test body in a tsunami wave was experimentally investigated, and the injury risk was evaluated in terms of different biomechanical indexes; specifically, maximum acceleration, head injury criterion, and impact force. The injury risk indicated by the considered indexes was reasonably low. It was noted that if a healthy adult collided with a concrete wall under a velocity of 2.5 m s-1 and wave height of 0.59 m, the adult would likely not be critically injured. However, a similar collision impact poses considerable risk to infants and children, as well as the more sensitive regions of the adult body. Moreover, in the case of large tsunamis, such as that in the 2011 Great East Japan Earthquake, a drifting person may be at considerable risk for injuries. The collision impact occurring on the tip of a surge flow is notably significantly larger than that on a bore flow. This is because a surge flow, which arrives at the concrete block earlier than a bore flow, forms a certain water layer along the concrete wall and that layer acts as a cushion for any body drifting on the bore flow, indicating the importance of such a buffering effect. These findings can provide practical guidance regarding the formulation of effective tsunami-protection measures.

Is there any association between dietary patterns, food security status and psychiatric disorders among Iranian earthquake victims?

BACKGROUND: Diet changes through disasters may affect psychological health as well as general health. The present study aimed to find food security status-that is defined by having enough food for an active, healthy life-dietary patterns and their relationship with probable psychiatric disorders in earthquake survivors. METHODS: This cross-sectional study conducted on 350 women who survived in East Azarbaijan earthquake (At 4:53 am on 11 August 2012). Food frequency questionnaire, Depression, Anxiety and Stress Scale and food security questionnaire of the US Department of Agriculture were used to assess dietary patterns, psychological and food security status, respectively. P values were considered significant at <0.05. RESULTS: Four major dietary patterns were defined based on factor analysis. These four dietary patterns explained of 37.09% variation of food intakes. Ten per cent of the population was food secure. There was no significant association between tertiles of major dietary patterns and risk of all psychological disorders (p values>0.05). CONCLUSION: There was no statistically significant association between major dietary patterns and psychiatric disorders. Further well-designed studies need to find any significant association.

Seismic preparedness of families with children: Measures and dynamics.

Earthquakes are unpredictable events, thus seismic preparedness of households should be fostered, considering the specific needs of each family. Children, for example, are particularly vulnerable to disasters and to the effects of their consequences, but can also act as promoters of preparedness within families. Being part of a wider research, this qualitative study intends to better understand seismic preparedness within families with children in S. Miguel, the largest and most populated island of the volcanic archipelago of the Azores. Two semi-structured interviews were conducted. The first interview was conducted with 125 family representatives, addressing their current preparedness measures. From these representatives, 105 families that had non-existent or insufficient preparedness were selected for a second interview. In the time between the two interviews, the families were instructed to develop seismic preparedness measures. The process of development of these measures was also assessed. Data were analysed using content analysis and frequency analysis. Results point to low levels of preparedness, both at the time of the initial interview and developed subsequently, and families adopted few preparedness measures specifically targeting their children's needs. The results highlight, therefore, that household seismic preparedness should be promoted, with clear indications regarding preparedness specifically for families with children.

Revitalizing Graduate Medical Education in Global Settings: Lessons From Post-Earthquake Haiti.

Following the massive 7.0-magnitude earthquake that devastated much of the Haitian capital city of Port-au-Prince on January 12, 2010, the Haitian health system and its medical education programs were fragmented, fragile, and facing a significant, overwhelming demand for clinical care. In response, the authors of this paper and the institutions they represent supported the development of a teaching hospital that could fill the void in academic training capacity while prioritizing the health of Haiti's rural poor-goals aligned with the Haitian Ministry of Health (MOH) strategy. This bold initiative aimed to address both the immediate and long-term health care needs within post-disaster Haiti through a strategic investment in graduate medical education (GME). Here, the authors describe their approach, which included building consensus, aspiring to international standards, and investing in shared governance structures under Haitian leadership. The Haitian MOH strategy and priorities guided the development, implementation, and expansion of solutions to the ongoing crisis in human resources for health within the acute context. Local leadership of this initiative ensured a sustained and transformative model of GME that has carried Haiti beyond acute relief and toward a more reliable health system. The enduring success can be measured through sustained governance systems, graduates who have remained in Haiti, standardized curricula, a culture of continuous improvement, and the historic achievement of international accreditation. While ongoing challenges persist, Haiti has demonstrated that the strategy of investing in GME in response to acute disasters should be considered in other global settings to support the revitalization of tenuous health systems.

Study Profile of the Tohoku Medical Megabank Community-Based Cohort Study.

BACKGROUND: We established a community-based cohort study to assess the long-term impact of the Great East Japan Earthquake on disaster victims and gene-environment interactions on the incidence of major diseases, such as cancer and cardiovascular diseases. METHODS: We asked participants to join our cohort in the health check-up settings and assessment center based settings. Inclusion criteria were aged 20 years or over and living in Miyagi or Iwate Prefecture. We obtained information on lifestyle, effect of disaster, blood, and urine information (Type 1 survey), and some detailed measurements (Type 2 survey), such as carotid echography and calcaneal ultrasound bone mineral density. All participants agreed to measure genome information and to distribute their information widely. RESULTS: As a result, 87,865 gave their informed consent to join our study. Participation rate at health check-up site was about 70%. The participants in the Type 1 survey were more likely to have psychological distress than those in the Type 2 survey, and women were more likely to have psychological distress than men. Additionally, coastal residents were more likely to have higher degrees of psychological distress than inland residents, regardless of sex. CONCLUSION: This cohort comprised a large sample size and it contains information on the natural disaster, genome information, and metabolome information. This cohort also had several detailed measurements. Using this cohort enabled us to clarify the long-term effect of the disaster and also to establish personalized prevention based on genome, metabolome, and other omics information.

On Modeling the Earthquake Insurance Data via a New Member of the T-X Family.

Heavy-tailed distributions play an important role in modeling data in actuarial and financial sciences. In this article, a new method is suggested to define new distributions suitable for modeling data with a heavy right tail. The proposed method may be named as the Z-family of distributions. For illustrative purposes, a special submodel of the proposed family, called the Z-Weibull distribution, is considered in detail to model data with a heavy right tail. The method of maximum likelihood estimation is adopted to estimate the model parameters. A brief Monte Carlo simulation study for evaluating the maximum likelihood estimators is done. Furthermore, some actuarial measures such as value at risk and tail value at risk are calculated. A simulation study based on these actuarial measures is also done. An application of the Z-Weibull model to the earthquake insurance data is presented. Based on the analyses, we observed that the proposed distribution can be used quite effectively in modeling heavy-tailed data in insurance sciences and other related fields. Finally, Bayesian analysis and performance of Gibbs sampling for the earthquake data have also been carried out.

Social capital, policy fairness, and subjective life satisfaction of earthquake survivors in Wenchuan, China: a longitudinal study based on post-earthquake survey data.

BACKGROUND: Existing research has rarely examined an earthquake's sustained impact and the trajectory of the earthquake survivors' life satisfaction over time. This study aims to analyze longitudinal changes in life satisfaction of Wenchuan earthquake survivors and the impact of social capital and government relief policy. METHODS: This research applied a hierarchical linear model to longitudinal survey data collected after the earthquake. The survey was divided into three waves and was collected from Deyang City and Mianyang City of Sichuan Province. A random sampling method was used; a sample of 225 participants had valid responses over three waves of the survey. RESULTS: This study found that a survivor's social capital and the perception of the fairness of government relief policy have a significant effect on the trajectory of life satisfaction post-disaster. First, the initial life satisfaction of those with high social capital was significantly higher than of those with low social capital, whilst survivors with high social capital had a lower rate of change in life satisfaction. Second, one year after the earthquake, those who felt government policy was unfair had a lower life satisfaction than those who felt it was fair. However, from the first year to the fourth year after the disaster, survivors who believed that the government policy was unfair experienced a higher rate of change in life satisfaction than those who did not. Third, the fairness of government relief policy moderates the relationship between survivors' social capital and changes in life satisfaction. A fair policy of relief can reduce the negative impact of the lack of individual social capital on life satisfaction. CONCLUSIONS: Survivors reconstruct life satisfaction through their social network and the perception of the fairness of the government's post-disaster relief policy. Therefore, to promote the improvement of life satisfaction of survivors, it is necessary to cultivate social capital and ensure fairness of the relief policy.

COVID-19 lockdown and its latency in Northern Italy: seismic evidence and socio-economic interpretation.

The Italian Government has decreed a series of progressive restrictions to delay the COVID-19 pandemic diffusion in Italy since March 10, 2020, including limitation in individual mobility and the closure of social, cultural, economic and industrial activities. Here we show the lockdown effect in Northern Italy, the COVID-19 most affected area, as revealed by noise variation at seismic stations. The reaction to lockdown was slow and not homogeneous with spots of negligible noise reduction, especially in the first week. A fresh interpretation of seismic noise variations in terms of socio-economic indicators sheds new light on the lockdown efficacy pointing to the causes of such delay: the noise reduction is significant where non strategic activities prevails, while it is small or negligible where dense population and strategic activities are present. These results are crucial for the a posteriori interpretation of the pandemic diffusion and the efficacy of differently targeted political actions.