Disasters and emergencies have been increasing all over the world. Todays, with technological advancement, acquiring knowledge and its application in the realm of action is regarded as the only effective way for prevent disasters or reducing its effects. The present study aimed to review the importance of education and the effect of different methods of education on disaster risk reduction and preparedness in vulnerable people. To this aim, some articles indexed in Database of PubMed, Web of Science, Google Scholar, Scopus, Science Direct, and ProQuest were searched. The search was limited to reviewed articles in English published between 1990 and 2017. In addition, the selected articles were reviewed for relevant citations. The conducted studies were reviewed by two researchers independently. The primary search generated 128 relevant references. After eliminating the duplicates and articles which were not related to the review of the abstract, 41 references were identified for inclusion. After reviewing more, 31 references, which failed to meet inclusion index, were excluded from the study. Disaster education aims to provide knowledge among individuals and groups to take actions to reduce their vulnerability to disasters. During the last decades, the issue that trained people can be prepared for disasters and responding well has been extensively investigated. Based on the results, disaster education is a functional, operational, and cost-effective tool for risk management. Based on some evidence, it is important for vulnerable people to learn about disasters. There are different methods to educate vulnerable people, but no method is better than others. Trained people can better protect themselves and others. In this regard, planning and designing comprehensive educational programs are necessary for people to face disasters.

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Amongst the various pollutants in the air, particulate matters (PM) have significant adverse effects on human health. The current research is based on existing epidemiological literature for quantitative estimation of the current health impacts related to particulate matters in some selected principal Iranian megacities. In order to find the influence of air pollution on human health, we used the AirQ software tool presented by the World Health Organization (WHO) European Centre for Environment and Health (ECEH), Bilthoven Division. The adverse health outcomes used in the study consist of mortality (all causes excluding accidental causes), due to cardiovascular (CVD) and respiratory (RES) diseases, and morbidity (hospital admissions for CVD and RES causes). For this purpose, hourly PM10 data were taken from the monitoring stations in eight study cities during 2011 and 2012. Results showed annual average concentrations of PM10 and PM2.5 in all megacities exceeded national and international air quality standards and even reached levels nearly ten times higher than WHO guidelines in some cities. Considering the short-term effects, PM2.5 had the maximum effects on the health of the 19,048,000 residents of the eight Iranian cities, causing total mortality of 5,670 out of 87,907 during a one-year time-period. Hence, reducing concentrations and controlling air pollution, particularly the presence of particles, is urgent in these metropolises.

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Background: Air pollution is an important issue and public concern throughout the world. Sulfur dioxide is one of the pollutants that can lead to many adverse effects on human health, animal and plant life.

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Background: Biological hazards are one of the most important and common types of hazards in emergencies and disasters. Hospital preparedness measures for biological hazards are essential for a proper response and mitigation of its effects. The aim of this systematic review is to investigate hospital preparedness measures for biological hazards. Methods: For this research, electronic databases including Web of Science, PubMed, ScienceDirect, Scopus, ProQuest, Google Scholar, and Cochrane Library from March 1950 to June 2019 were searched. Key words such as hospital, emergency department, preparedness, plan, management, and biological hazards were used in combination with the Boolean operators OR and AND. A thematic synthesis approach through the use of MAXQDA software was applied to analyze the data. Results: In total, 5257 articles were identified, in which 23 articles meet the inclusion criteria for entering the process of final analysis. The findings showed three main administrative, specialized, and logistical issues regarding preparedness measures for biological hazards in hospitals. Conclusion: Hospital preparedness for biological hazards is one of the most important hospital disaster plans. Results of this systematic review present valuable advice for policy-makers and hospital managers to prepare and enhance hospital performance against biological hazards.

Introduction: Estimating air pollution levels in areas with no measurements is a major concern in health-related studies. Therefore, the aim of this study was to investigate the amount of exposure to particulate matter below 2.5 µ (PM2.5) in the metropolis of Tehran. Materials and methods: The hourly concentrations of PM2.5 during 2017- 2018 period were acquired from the Department of Environment (DOE) and Air Quality Control Company of Tehran (AQCC). The hourly concentrations were validated and 24-h concentrations were calculated. Inverse distance weighting (IDW), Universal Kriging, and Ordinary Kriging were used to spatially model the PM2.5 over Tehran metropolis area. Root Mean Square Error (RMSE) and Mean Error (ME) were used to measure and control for the accuracy of the methods. Results: The results of this study showed that RMSE and MENA values in Kriging method was less than the IDW, which indicates that the Kriging was the best method to estimate PM2.5 concentrations. According to the final map, the highest annual concentrations of PM2.5 were observed in the southern and southwestern areas of Tehran (districts 10, 15, 16, 17, and 18). The lowest exposure to PM2.5 was found to be in districts 1, 2, 3, 6, and 8. Conclusion: It can be concluded that Kriging method can predict spatial variations of PM2.5 more accurately than IDW method.