Background: Exceptional children, like other children, have the right to be educated in a safe environment. Disasters are considered as serious issues regarding safety and security of educational environments. Following disasters, vulnerable groups, especially children with handicaps and disabilities are more likely to be seriously injured. Thus, the present study aimed to evaluate the safety and disaster risk assessment of exceptional schools in Tehran, Iran.
Method: The cross-sectional study was conducted in exceptional schools in Tehran, 2018. First, 55 exceptional schools in all grades were selected based on census sampling method and evaluated by using a checklist designed by Tehran Disaster Mitigation and Management Organization (TDMMO) and Ministry of Education in 2015. The data were analyzed using Excel software and statistical descriptive tests.
Result: Based on the results, school facilities are worn and have unsafe elevators (least safety: 7.69%), yards (least safety: 9.52%), laboratories (least safety: 16.67%), libraries (least safety: 24.24%), fire extinguishing systems (least safety: 28.99%), and storage rooms and kitchens (least safety: 33.33%) which require immediate considerations. In total, the safety of exceptional schools in this study was 70.13%, which suggests medium-risk level.
Conclusion: The educational settings must be reconsidered, along with identifying the risk and safety at school. In addition, a standard should be established for evaluating safety, especially in exceptional schools.
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http://dx.doi.org/10.1017/dmp.2020.425 | DOI Listing |
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Department of Rehabilitation Medicine, The University of Washington, Seattle, WA, USA.
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Guangdong Provincial Key Laboratory of New Drug Screening, Guangzhou Key Laboratory of Drug Research for Emerging Virus Prevention and Treatment, NMPA Key Laboratory for Research and Evaluation of Drug Metabolism, Guangdong-Hong Kong-Macao Joint Laboratory for New Drug Screening, School of Pharmaceutical Sciences, Southern Medical University, Guangzhou, Guangdong, 510515, China. Electronic address:
There is a critical need for inclusive diagnostic platforms to enhance the accuracy of early breast cancer detection. Dysregulated microRNA-1246 (miR-1246), closely linked to the disease progression and recurrence, has emerged as a promising diagnostic and prognostic biomarker for BC. However, achieving simple, rapid, and ultrasensitive quantification of serum miRNAs remains significant challenge.
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