Background: Tehran is vulnerable to natural hazards, especially earthquakes. Disaster preparedness behaviors (DPB) are measures that can mitigate the adverse consequences of disasters. Demographic factors affect DPB, however, the role of some of these factors is not still clear. By understanding these effects, disaster specialists could design interventions toward specific demographics. In the present study, we aimed to investigate demographic determinants of DPB.

Methods: This cross-sectional survey was conducted in August 2014. The target population included inhabitants of Tehran who were 18 years or older. A total of 1250 participants were selected randomly and interviewed using a standardized questionnaire.

Results: Results of our study showed that monthly income level, previous disaster experience, residential district and occupation are demographic factors that influence DPB significantly. However, disaster preparedness was not affected by gender, educational level, number of household members, home type, home ownership and being the head of household.

Conclusion: To promote DPB in Tehran, disaster specialists should focus on improving DPB in low-income and unemployed people, and individuals who live in high risk districts, especially in those who have not experienced disasters.

Key words: Disaster, Preparedness behavior, Demographic determinants.    

Introduction: After a devastating earthquake, the site selection for the sheltering of earthquake victims is an important task. In order to generate a list of appropriate criteria for deciding on temporary sheltering site selection, we systematically combined the experience of experts and the findings of published documents in this study.

Methods: Having explored published papers, we generated a list of criteria for the selection of the best location for temporary sheltering. In the next step, all criteria were presented to a group of experts in Iran and after a scientific discussion, the list was updated. In the last step, the final list of criteria was developed using the Delphi method in three rounds.

Results: Based on our previous systematic review, 27 criteria were presented for sheltering site selection. Expert interviews added 12 more items to them. The Delphi process approved 21 criteria of all proposed ones. These items then grouped into four categories: land suitability, socio-cultural considerations, service availability and disaster risk reduction.

Discussion: After an earthquake, our list of criteria may help the disaster team to select the best locations for temporary sheltering with minimum confusion. The consent of the earthquake victims and cost reduction of the operation would be the minimum benefits of using the appropriate criteria. These criteria also could be used by researchers to make objective and reproducible assessments of temporary sheltering site selection. Key words: Criteria, Earthquake, Model, Site selection, Temporary shelter,

Background: Disasters affect close to 400 million people each year. Complex Emergencies (CE) are a category of disaster that affects nearly half of the 400 million and often last for several years. To support the people affected by CE, humanitarian assistance is provided with the aim of saving lives and alleviating suffering. It is widely agreed that funding for this assistance should be needs-based. However, to date, there is no model or set of indicators that quantify and compare needs from one CE to another. In an effort to support needs-based and transparent funding of humanitarian assistance, the aim of this study is to develop a model that distinguishes between levels of severity among countries affected by CE.

Methods: In this study, severity serves as a predictor for level of need. The study focuses on two components of severity: vulnerability and exposure. In a literature and Internet search we identified indicators that characterize vulnerability and exposure to CE. Among the more than 100 indicators identified, a core set of six was selected in an expert ratings exercise. Selection was made based on indicator availability and their ability to characterize preexisting or underlying vulnerabilities (four indicators) or to quantify exposure to a CE (two indicators). CE from 50 countries were then scored using a 3-tiered score (Low-Moderate, High, Critical). 

Results: The developed model builds on the logic of the Utstein template. It scores severity based on the readily available value of four vulnerability and four exposure indicators. These are 1) GNI per capita, PPP, 2) Under-five mortality rate, per 1 000 live births, 3) Adult literacy rate, % of people ages 15 and above, 4) Underweight, % of population under 5 years, and 5) number of persons and proportion of population affected, and 6) number of uprooted persons and proportion of population uprooted.

Conclusion: The model can be used to derive support for transparent, needs-based funding of humanitarian assistance. Further research is needed to determine its validity, the robustness of indicators and to what extent levels of scoring relate to CE outcome.

Introduction. On May 22, 2011 the deadliest tornado in the United States since 1947 struck Joplin, Missouri killing 161 people, injuring approximately 1,150 individuals, and causing approximately $2.8 billion in economic losses.

Methods. This study examined the mental health effects of this event through a random digit dialing sample (N = 380) of Joplin adults at approximately 6 months post-disaster (Survey 1) and a purposive convenience sample (N = 438) of Joplin adults at approximately 2.5 years post-disaster (Survey 2). For both surveys we assessed tornado experience, posttraumatic stress, depression, mental health service utilization, and sociodemographics. For Survey 2 we also assessed social support and parent report of child strengths and difficulties.

Results. Probable PTSD relevance was 12.63% at Survey 1 and 26.74% at Survey 2, while current depression prevalence was 20.82% at Survey 1 and 13.33% at Survey 2. Less education and more tornado experience was generally related to greater likelihood of experiencing probable PTSD and current depression for both surveys. Men and younger participants were more likely to report current depression at Survey 1. Low levels of social support (assessed only at Survey 2) were related to more probable PTSD and current depression. For both surveys, we observed low rates of mental health service utilization, and these rates were also low for participants reporting probable PTSD and current depression. At Survey 2 we assessed parent report of child (ages 4 to 17) strengths and difficulties and found that child difficulties were more frequent for younger children (ages 4 to 10) than older children (ages 11 to 17), and that parents reporting probable PTSD reported a greater frequency of children with borderline or abnormal difficulties.

Discussion. Overall our results indicate that long-term (multi-year) community disaster mental health monitoring, assessment, referral, outreach, and services are needed following a major disaster like the 2011 Joplin tornado.

Introduction: Over the last quarter of a century the frequency of natural disasters and the burden of non-communicable diseases (NCD) across the globe have been increasing. For individuals susceptible to, or chronically experiencing, NCDs this has become a significant risk. Disasters jeopardize access to essential treatment, care, equipment, water and food, which can result in an exacerbation of existing conditions or even preventable death. Consequently, there is a need to expand the public health focus of disaster management to include NCDs. To provide a platform for this to occur, this article presents the results from a systematic review that identifies and describes the impact of cyclone, flood and storm related disasters on those susceptible to, or experiencing, NCDs. The NCDs researched were: cardiovascular diseases; cancers; chronic respiratory diseases; and diabetes.  

Methods: Four electronic publication databases were searched with a date limit of 31 December 2014. The data was analyzed through an aggregation of individual papers to create an overall data description. The data was then grouped by disease to describe the impact of a disaster on treatment management, exacerbation, and health care of people with NCDs. The PRISMA checklist was used to guide presentation of the research.

Results:  The review identified 48 relevant articles. All studies represented developed country data. Disasters interrupt treatment management and overall care for people with NCDs, which results in an increased risk of exacerbation of their illness or even death. The interruption may be caused by a range of factors, such as damaged transport routes, reduced health services, loss of power and evacuations. The health impact varied according to the NCD. For people with chronic respiratory diseases, a disaster increases the risk of acute exacerbation. Meanwhile, for people with cancer, cardiovascular diseases and diabetes there is an increased risk of their illness exacerbating, which can result in death.   

Conclusion:  Cyclone, flood and storm related disasters impact on treatment management and care for people with NCDs. Possible consequences include exacerbation of illness, complications or even death. There is now a need to expand traditional disaster approaches by public health to incorporate NCDs. This must be guided by the major NCDs identified by the World Health Organization and implemented in-line with the Sendai Framework for Disaster Risk Reduction: 2015-2030. This includes understanding all the factors that influence both direct and indirect (preventable) morbidity and mortality related to NCDs during and after disasters. Once achieved, disaster planners and public health professionals will be in a position to develop and implement effective mitigation strategies.