Assessment of school resilience in disasters: A cross-sectional study
Samaneh Mirzaei1, Hossein Falahzade2, Leila Mohammadinia3, Khadijeh Nasiriani4, Abbas Ali Dehghani Tafti1, Zohreh Rahaei5, Hamid Reza Amiri6
1 Department of Health in Emergencies and Disasters, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
2 Department of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
3 Health Human Resource Research Center, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz, Iran
4 Research Center for Nursing and Midwifery Care, Department of Nursing, Nursing and Midwifery School, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
5 Department of Health Education and Promotion, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran
6 Department of Civil Engineering, Yazd Branch, Islamic Azad University, Yazd, Iran
|Date of Submission||13-Jul-2019|
|Date of Acceptance||29-Sep-2019|
|Date of Web Publication||30-Jan-2020|
Dr. Leila Mohammadinia
Department of Health in Disasters and Emergencies, Health Human Resource Research Center, School of Management and Information Sciences, Shiraz University of Medical Sciences, Shiraz
Source of Support: None, Conflict of Interest: None
BACKGROUND AND OBJECTIVES: School resilience is defined as risk-reducing strategies used to create a safe environment for students when faced natural disasters. Resilient schools, in addition to their educational role, provide a suitable capacity for responding to disasters and rehabilitation after the incidence. This study determined the level of disaster resilience of schools in Yazd, central Iran.
MATERIALS AND METHODS: This is a descriptive-analytic study conducted among 400 schools and 367 participants in Yazd, 2018. To collect data, we used the school resilience in disasters questionnaire (α =0.95 and intraclass correlation coefficient = 0.97 [95% confidence interval: 0.96–0.98]) containing 48 questions. We also analyzed the gleaned data through the Pearson correlation coefficient, one-way ANOVA, and independent t-test.
RESULTS: The total score of school disaster resilience was 153.30 ± 29.57. In these schools, the function had the highest (47.76 ± 13.96), and safety had the lowest (6.74 ± 3.18) score among all areas of school disaster resilience. There was a positive significant correlation between total resilience and areas of function, education, structural, nonstructural, architecture, commute routes, safety, location, and equipment (P < 0.001). Location had the smallest (r = 0.424) and function had the greatest (r = 0.854) correlation with total resilience.
CONCLUSION: It can help the school management board in assessing the level of resilience of their school and determining the priorities for disaster risk reduction. Awareness of the status of resilience can help policy-makers and experts create an effective program for increasing resilience.
Keywords: Natural disasters, resilience, schools, students
|How to cite this article:|
Mirzaei S, Falahzade H, Mohammadinia L, Nasiriani K, Dehghani Tafti AA, Rahaei Z, Amiri HR. Assessment of school resilience in disasters: A cross-sectional study. J Edu Health Promot 2020;9:15
|How to cite this URL:|
Mirzaei S, Falahzade H, Mohammadinia L, Nasiriani K, Dehghani Tafti AA, Rahaei Z, Amiri HR. Assessment of school resilience in disasters: A cross-sectional study. J Edu Health Promot [serial online] 2020 [cited 2020 Aug 8];9:15. Available from: http://www.jehp.net/text.asp?2020/9/1/15/277344
| Introduction|| |
Disasters can cause the destruction of buildings, infrastructure and lead to casualties and death tolls. The destruction and damage to schools are also one of the consequences of natural disasters, which may eventuate the disability or death of teachers and students., Furthermore, there is the possibility of interruption of education at disasters if there are damages to school buildings., Previous earthquakes indicate that school buildings are relatively more vulnerable than other buildings. For example, the Sichuan earthquake in 2008 caused the death of 19,000 students and destruction of about 7000 schools. In addition, the Bam earthquake in Iran in 2003 destroyed more than 90% of schools in that city. It is necessary to pay attention to the resilience in the local community and important places (e.g. schools) and provide appropriate solutions when disasters occur.
The schools are important because the kids go there from the age of 6 years old and spend much of their time. Schools play an important role before and after disasters. Moreover, they has significant role in the reaction and rehabilitation phases in disasters they are used as distribution centers and also the deployment of service providers such as Emergency medical service after a natural disaster  According to the Iranian Ministry of Education and Training (2012), there are 12.2 million students and 918,500 teachers at schools , Thus, the necessity of school resilience to decrease vulnerability is felt more than ever.
Resilience is an ever-changing dynamic concept. In educational system, it refers to any attempts made to absorb and/or manage disaster effects and return to the previous function by the use of resources. It aims to reduce vulnerabilities, enhance capabilities, and manage properly to address the risks of natural disasters. Therefore, cities need to achieve a suitable level of resilience in various dimensions. Hugo document (2005–2015) and Sendai framework (2015–2030) as higher-order documents have prioritized school risk reduction and resilience promotion.,, in resilient schools, structural, nonstructural, managerial, human resources, education, staff, and students are conspicuous., It is, therefore, very important to prepare them against the disasters and aware them of the school disaster resilience level and interventions to improve their resilience particularly in high-risk disaster-prone countries.,
Despite the available tools for the school resilience,, the climatic conditions and cultural-social status of each community can affect the resilience. It seems that countries should have a tool to measure the resilience based on their situation. Due to the lack of a comprehensive native tool in Iran, we conducted this study in 2018 through school resilience in disaster (SRD) questionnaire based on the Iranian native conditions.
| Materials and Methods|| |
Study design and setting
The current investigation was a descriptive-analytic cross-sectional study approved by Yazd University of Medical Sciences and Yazd Education Ministry. The study included 400 boys and girls schools and 367 participants who completed the questionnaire.
Developed by the research team in a two-stage, systematic review  and a qualitative study with 24 experts in disaster resilience  appropriate to the culture-based in Iran, school resilience in disaster questionnaire was used as a valid and reliable tool (α = 0.95 and intraclass correlation coefficient = 0.97 [95% confidence interval (CI): 0.96–0.98]). It was then followed by the pilot study applied to 30 schools in Yazd for 2 weeks. The questionnaire consisted of two parts: first, 48 questions about school location, structural, nonstructural, architecture, commute routes, equipment, safety, education, and function; and second questions about school construction year, school surface (area), number of classes, type of school (primary/ first period of high school/second period of high school, students gender, and governmental or non-for-profit school), and manager's work experience.
Scores for each area were calculated according to the 5-point Likert scale from the lowest to the highest number that was equivalent to the total of questions, and the total resilience score was calculated by summing the scores of all areas. The Cronbach's alpha obtained was 0.95, and the validity and the reliability were 0.71 and 0.95, respectively.
Inclusion and exclusion
All girls' and boys' governmental and non-for-profit schools in three levels of primary, first and second period of high school were included in the study. The schools were selected randomly and voluntarily. The aim of the study was explained, and written consent was obtained. Those schools which were not interested in participating along with kindergartens and preschools were excluded. The questionnaire was completed by school managers, assistants, and teachers during office hours and distributed anonymously. All the information remained confidential.
The data were analyzed through SPSS Version 22 (SPSS Inc., Chicago, IL, USA, SPSS) software, descriptive statistics, independent t-test, one-way ANOVA, and Pearson correlation coefficient to examine correlations among quantitative variables (P < 0.05).
This study was part of a larger-scale project conducted at Research Center of Shahid Sadoughi University of Medical Sciences with a code of ethics no: IR.SSU.SPH.REC.1397.046. All research processes were performed with the approval of Yazd Training and Education Office. The questionnaires were filled out during the office hours, so the classes were not interrupted. The questionnaires were distributed anonymously, and all information remained confidential.
| Results|| |
The finding showed that the assessment of 367 school resilience against natural disasters in Yazd were girls 131 (35.7%), boys 236 (64.3%), primary schools 184 (50.1%), secondary schools 146 (39.8%), and high schools 37 (10.1%). Of these, 308 (83.9%) were governmental schools and the rest were non-for-profit schools. Three hundred and sixty-seven participants from 400 schools completed the SRD. About 8.25% of the questionnaires were excluded because they were not properly answered.
The participants included 238 teachers (64.9%), 35 assistants (9.5%), and 94 managers (25.6%). Their average was 40.35 ± 8.62 years with 17.64 ± 7.3 years of work experience. One hundred and ninety-six (53.4%) participants were female with 95 (25.9%) academic degrees. At least 151 (59.4%) of participants had natural disaster experiences such as flood, fire, accident, and drought. The schools had 1660.41 ± 1338.97 m 2 average surface; it was 311.84 ± 132.65 m 2 average surface for each student.
Other findings of the study showed that scores of resilience areas included 15 scores for location (11.05 ± 2.28), 15 scores for structure (9.97 ± 2.69), 15 scores for the nanostructure (10.88 ± 2.44), 25 scores for architecture (19.19 ± 3.76), 20 scores for the commute routes (11.86 ± 3.82), 15 scores for equipment (11.16 ± 3.00), 15 scores for the safety (6.74 ± 3.18), 40 scores for the education (24.64 ± 7.08), 80 scores for the function (47.76 ± 13.96), and finally, from 240 scores of total resilience was 153.30 ± 29.57. Thus, the functional area obtained the highest points (47.76 ± 13.96) and safety the lowest points (6.74 ± 3.18).
The Pearson correlation coefficient suggested a positive significant correlation (P < 0.001) among all parts of school resilience, including function, education, safety, structural, nonstructural, architecture, commute routes, location, and equipment. This correlation was greater in the areas of function, education, commute routes, safety, nonstructural, architecture, equipment, structural, and location, respectively [Table 1].
This study also compared resilience scores in terms of school characteristics. The results of ANOVA suggested a significant difference between education levels and resilience (P = 0.033). In addition, Bonferroni post hoc test revealed a significant difference between the mean scores of education levels and the first period of high school [Table 2].
|Table 2: Comparison of mean school disaster resilience in Yazd in terms of different educational levels of school in 2018|
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Other results of ANOVA demonstrated no significant difference between school location, building shape, and resilience score. Moreover, the findings of independent t-test showed no significant difference between students' gender, governmental schools, non-for-profit schools, history of school reconstruction, and school resilience (P > 0.05).
The school average of construction was 21.97 ± 9.52 years. The Pearson correlation coefficient showed a significant negative correlation between school construction year and resilience score at CI of 99% (P < 0.001, r = −0.222).
| Discussion|| |
This study examines the resilience of schools against natural disasters. The findings of the study showed that the resilience of schools is directly associated with the functional, educational, safety, structural, nonstructural, architectural, commute routes, locational, and equipment domains which affect the level of school resilience.
One of the most influential areas of school resilience is the location of schools. It is access to the main street and relief services as well as being away from high-risk sites are considerable. Appropriate school placement, building codes, quality control of construction in the important Grimaz (2016) study have been stated to support the findings of our study. Considering the emergency exit routes and evacuation safety, which are being confirmed by another study of the physical building, the location of schools has been identified as an important element to access the roads in the event of disasters. Since the overcrowding potential of disasters  and the complexity of how nonstructural items are arranged, more research is required to clarify objective school resilience. School equipment and safety, such as a fire alarm system and fire extinguishers, are essential for resilient schools based on Hassanain  and Hosseini and Izadkhah (2006) studies.
Education and function are other important areas examined for the resilience of schools, for which important points have been mentioned, including the existence of a coordination agreement between the school and other organizations, the preparation, and planning for unexpected events, and the existence of safe and risky places at school. On the other hand, training of the principals and other school staff to provide psychological support after the disaster is of an important factor in the preparation of schools. Other studies include the preparation of students and school staff, the availability of agreements with other agencies responsible for disasters, predisaster planning, and the availability of appropriate school response plans to improve school preparation and improve performance to increase the resilience of schools in disasters.,
In this study, among the influential areas, functional area acquired the highest and the safety obtained the lowest score of resilience level which indicates that more measures have been taken in the function than other areas, Therefore, increasing the safety of schools in urban tissue reconstruction programs, especially in areas at risk of earthquakes, is significant. The results of Paton's and Johnston's study on factors affecting school preparedness indicated that the emergency programs were the priority followed by “emergency resources and equipment” and “response operations programs” ranking second and third like Paton and Johnston study. Shiwaku et al. explored that physical components, human resources, function, external relations, and natural conditions are affecting the resilience. In this study, the physical aspect of building and human resources obtained higher scores than others. They reported that since it is demanding to change some conditions in schools (e.g., construction places), changeable aspects such as function and external relations must be underscored. Some areas (e.g., function) can increase school resilience; however, location does not.
Moreover, resilience scores showed a significant difference in terms of school educational levels. In this respect, primary schools obtained the highest, and the first period of high school acquired the lowest resilience scores. Primary schools had a better function in resilience than higher education levels of high school both in boys and girls schools. Öcal and Topkaya  reported a significant correlation between type of school (primary or high school) and school preparation level supporting our findings; nevertheless, high school preparation level was greater than that of primary school regarding the risk of earthquake due to the location of Turkish high schools in socioeconomically more privileged zones and greater access of these schools to financial resources. In contrast, our findings showed that primary schools had greater resilience than the first and second periods of high school. This may be due to the random selection of schools from different zones of Yazd. In addition, our study showed no significant effect on managers' experience on increasing school resilience. This finding is consistent with the results of the study by Öcal and Topkaya. On the one hand, we should remember that higher educational levels (e.g., the first and second periods of high school) require more attention because of their students' age and their more risky behaviors in their interactions. Besides, this spirit of the youth may play a role in promoting their resilience. On the other hand, primary schools demand greater attention from the teachers and principals, especially regarding the safety of the physical space, due to their vulnerability. The awareness of influencing factors in school resilience may not only improve the school preparation and reaction but also save many lives during the disasters.
| Conclusion|| |
Our results indicated that the school disaster resilience level is directly influenced by location, construct, equipment, architecture, nonconstruct, safety, transportation paths, education, and function. Due to the cost and unchanged ability of some areas, equipment, safety, education, and function can be improved with proper management and planning, thereby increasing the resilience of schools. Students' educational level and type of school construct also affect resilience. Awareness of the total status of resilience can help policy-makers and experts create an effective program for resilience. Moreover, the results may help the school management board in assessing the level of resilience of their school and determining the priorities for correction.
Limitations of the study
One limitation was school personnel unawareness about some construct characteristics of schools due to the special nature of the issue. This study considered extensive detailed discussion of total resilience for the general assessment that was understandable to all individuals. Some schools did not cooperate in completing the questionnaires. Thus, they were replaced by other cooperated schools.
The authors would like to give their special thanks to all authorities of the University for their Nice Cooperation. We also thank Yazd Education and Training Office, and students, teachers, and managers.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Mutch C. The role of schools in helping communities copes with earthquake disasters: The case of the 2010–2011 New Zealand earthquakes. Environ Hazards 2018:17:331-351.
Takeuchi Y. East Japan Earthquake and Tsunami: Evacuation, Communication, Education and Volunteerism: Research Publishing Service; 2012.
Öcal A, Topkaya Y. Earthquake preparedness in schools in seismic hazard regions in the South-East of Turkey. Disaster Prev Manag 2011; 20:334-48.
Japan International Cooperation Agency (JICA). Country strategic report on natural disaster in Turkey. Ankara: JICA; 2004. p. 105.
Ersoy Ş, Koçak A. Disasters and earthquake preparedness of children and schools in Istanbul, Turkey. Geomatics Natural Hazards Risk 2016;7:1307-36.
Wisner B. Let Our Children Teach Us! A Review of the Role of Education and Knowledge in Disaster Risk Reduction. Inter-Agency Task Force Cluster Group on Education and Knowledge; 2006.
IIEES IIoEEaS. Preliminary Report on the Bam Earthquake. IIEES IioEEaS; 2003.
Namjooyan F, Razavian M, Sarvar R. Urban resilience, the frame work for urban future management. Geogr Land J 2017;14:81-95.
Zimmerman MA, Arunkumar R. Resiliency research: Implications for schools and policy. Soc Policy Rep 1994;8:1-20.
Shaw R, Kobayashi M, editors. Role of Schools in Creating Earthquake-Safer Environment. Thessaloniki: OECD Workshop; 2001.
Anelli A, Santa-Cruz S, Vona M, Tarque N, Laterza M. A proactive and resilient seismic risk mitigation strategy for existing school buildings. Struct Infrastruct Eng 2019;15:137-51.
Azizi-Bondarabadi H, Mendes N, Lourenço PB, Sadeghi NH. Empirical seismic vulnerability analysis for masonry buildings based on school buildings survey in Iran. Bull Earthq Eng 2016;14:3195-229.
Mahdizadeh A, Raissi M, Borzouie J. Report on Retrofit Procedure of School Buildings in Islamic Republic of Iran. Reports of State Organization of Schools Renovation and Mobilization. Iran; 2011.
Thi T, Shaw R. School-based disaster risk reduction education in primary schools in Da Nang City, Central Vietnam. Environ Hazards 2016;15:356-73.
Lee PC, Stewart DE. Does a socio-ecological school model promote resilience in primary schools? J Sch Health 2013;83:795-804.
ISDR U, editor. Hyogo framework for action 2005-2015: Building the Resilience of Nations and Communities to Disasters. Extract from the Final Report of the World Conference on Disaster Reduction (A/CONF 206/6). The United Nations International Strategy for Disaster Reduction Geneva; 2005.
Aitsi-Selmi A, Egawa S, Sasaki H, Wannous C, Murray V. The Sendai framework for disaster risk reduction: Renewing the global commitment to people's resilience, health, and well-being. Int J Disaster Risk Sci 2015;6:164-76.
Haigh R, Amaratunga D, Thayaparan M. ANDROID: An inter-disciplinary academic network that promotes co-operation and innovation among European higher education to increase society's resilience to disasters. Procedia Econ Financ 2014;18:857-64.
Briceño S. Looking back and beyond Sendai: 25 years of international policy experience on disaster risk reduction. Int J Disaster Risk Sci 2015;6:1-7.
Tipler K, Tarrant R, Johnston D, Tuffin K. Are you ready? Emergency preparedness in New Zealand schools. Int J Disaster Risk Reduct 2017;25:324-33.
Thi MT, Shaw R, Takeuchi Y. Climate disaster resilience of the education sector in Thua Thien Hue Province, central Vietnam. Nat Hazards 2012;63:685-709.
Gwee Q, Takeuchi Y, Jet-Chau W, Shaw R. Disaster education system in Yunlin county, Taiwan. Asian J Environ Disaster Manag 2011;3:189-204.
Borrell J, Boulet J. REFEREED-disaster recovery and sociality: A preliminary exploration of black saturday's aftermath, drawing on service provider perceptions. New Community Q 2009;7:6.
Porche DJ. Emergent Leadership During a Natural disaster: A Narrative Analysis of an Acute Health care Organization's Leadership: Capella University; 2009.
Shiwaku K, Ueda Y, Oikawa Y, Shaw R. School disaster resilience assessment in the affected areas of 2011 East Japan earthquake and tsunami. Natural Hazards 2016;82:333-65.
Dwiningrum SIA, Dwiningrum SIA. Developing school resilience for disaster mitigation: A confirmatory factor analysis. Disaster Prev Manag 2017;26437-51.
Mirzaei S, Mohammadinia L, Nasiriani K, Dehghani Tafti A, Rahaei Z, Falahzadeh H, et al
. School resilience components at the time of disaster and emergency: A systematic review. Trauma Mon J 2019; 24. [In Press].
Mirzaei S, Dehghani-Tafti AA, Mohammadinia L, Nasiriani K, Rahaei Z, Falahzadeh H, et al
. Operational strategies for establishing disaster-resilient schools: A qualitative study. Adv J Emerg Med 2020; 4. [In Press].
Grimaz S, Malisan P. VISUS: A pragmatic expert-based methodology for the seismic safety triage of school facilities. Boll Geofisica Teorica Appl 2016;57:91-110.
Dixit AM, Dwelly-Samant L, Nakarmi M, Tucker B, Pradhanang SB. The Kathmandu Valley Earthquake Risk Management Action Plan: A Product of the Kathmandu Valley Earthquake Risk Management Project Implemented by National Society for Earthquake Technology-Nepal (NSET-Nepal): GeoHazards International (GHI), USA. Publication Series: National Society for Earthquake Technology-Nepal (NSET-Nepal); 1999.
Santa-Cruz S, De Córdova GF, Rivera-Holguin M, Vilela M, Arana V, Palomino J. Social sustainability dimensions in the seismic risk reduction of public schools: A case study of Lima, Peru. Sustainability. Sci Pract Policy 2016;12:34-46.
Hassanain MA. Towards the design and operation of fire safe school facilities. Disaster Prev Manag 2006;15:838-46.
Hosseini M, Izadkhah YO. Earthquake disaster risk management planning in schools. Disaster Prev Manag 2006;15:649-61.
Paton D, Johnston D. Disasters and communities: vulnerability, resilience and preparedness. Disaster Prev Manag 2001;10:270-7.
[Table 1], [Table 2]