Stages Of Disaster Management Research Articles

Relationship between disaster preparedness perception, self-efficacy, and psychological capital among Turkish nurses.

Although disasters continue to increase all over the world and international nursing organizations warn nurses to be ready for disasters, it is stated that the training of nurses for disasters is inadequate in Turkey as in many countries, and studies on this subject are limited AIM: This study aimed to explore the relationship between disaster preparedness perception, self-efficacy, and psychological capital among Turkish nurses. This cross-sectional study was conducted with 270 nurses working at a university hospital in Turkey from May 2023 to December 2023. The mean Disaster Preparedness Perception Scale, General Self-Efficacy Scale, and Psychological Capital Questionnaire scores of the nurses were 73.19±11.06, 31.24±3.89, and 98.05±11.35, respectively. According to linear regression analysis, self-efficacy, psychological capital, receiving disaster training, and being exposed to disaster were significant predictive factors that affected disaster preparedness perception. To improve nurses' disaster preparedness, it is vital to strengthen their self-efficacy and psychological capital through various strategies. Managers should identify individual and organizational barriers that affect nurses' readiness for disasters, prepare nurses for all stages of disaster management through continuous training, scenario-based simulation exercises and drills, and create a disaster management culture in the organization.

Convolutional Neural Network-based Smart Disaster Management Framework for Real-time Detection and Management of Forest Fires

Introduction: Timely detection of catastrophic natural disasters, such as forest fires, is critical to minimizing losses and ensuring rapid response. Artificial intelligence is increasingly being recognized as a valuable tool in enhancing various stages of disaster management. Method: This paper presents the development of a smart framework utilizing machine learning techniques for real-time detection and monitoring of natural disasters, specifically forest fires. The proposed approach employs a 10-layer convolutional neural network (CNN) that classifies aerial images into Fire, Non-Fire, and Smoke categories with high precision and speed. In addition to this, a CNN-based feature extraction process is performed and integrated with various ML classifiers, including support vector machine, k-nearest neighbor, decision tree, random forest, and extra trees. Results: Extensive performance analysis reveals that the proposed 10-layer CNN model outperforms other classifiers, achieving an accuracy of 97.64% in the binary classification of fire vs. nonfire and 95.61% in the three-class classification of Fire, Non-Fire and Smoke classes. Furthermore, a comparative study with existing state-of-the-art methods demonstrates the proposed model's superior performance in both accuracy and computational complexity. Conclusion: These results demonstrate the potential of the proposed CNN-based framework to serve as a reliable and effective tool for real-time disaster management across various applications, providing valuable support to emergency response teams in mitigating the impact of natural disasters.

An Analysis of Heat Waves in Disaster Management

This paper examines the current state of disaster management for heat waves in the United States. The paper begins by providing the status of heat waves in the U. S. A. and the detrimental effects they can have on society, such as human and animal health concerns, damage to infrastructure, and strained power grids. The paper then provides a synopsis of the disaster management framework provided by the U. S. government. This entails a description of the five stages of disaster management: Prevention, Protection, Mitigation, Response, and Recovery. Next, the current public health measures taken to address extreme heat are organized within this framework, described, and assessed based on a review of existing literature. These public health measures include protection of the power grid, incorporating green and cool spaces into city design, cooling centers, and heat warning systems. The results of the literature review show that actions taken prior to an extreme heat event are more effective than actions taken in response to the event or during the recovery from it. Measures taken in the Protection and Mitigation stages have a more reliable and documentable benefit to human health than measures in the Response and Recovery stages. Additionally, these actions, such as safeguarding power grids and installing green infrastructure in urban environments, generally provide financial benefits that exceed their costs, making them good investments for both public and private entities. It is therefore recommended to focus programs and investment on measures in the Protection and Mitigation phases.

Earthquake Risk in Bangladesh: Lesson Learned from Turkiye-Morocco Earthquake

Turkey, Morocco, and Bangladesh are all located in active seismic zones of the Earth’s surface. Recent studies have predicted catastrophic earthquakes in Bangladesh in the near future. Since disasters can act as catalysts for learning by exposing the shortcomings and vulnerabilities of communities or governments, it is believed that Bangladesh has much to learn from the 2023 mega-disasters in Turkey and Morocco. Therefore, this study aims to understand the causes of the catastrophic earthquakes in Turkey and Morocco. The main objective is to analyze the strengths and weaknesses of the disaster management stages during the 2023 earthquakes in Turkey and Morocco, and to compare these with the situation in Bangladesh to better understand potential earthquake risks there. Moreover, the study seeks to develop a framework for Disaster Learning. It follows a qualitative research methodology, with most of the necessary data gathered from existing literature and Key Informant Interviews. The findings suggest that infrastructural vulnerabilities and noncompliance with land use regulations were significant causes of the catastrophic damage in Turkey and Morocco, which are also relevant to the earthquake risks in Bangladesh. Key strengths identified in Turkey include the availability of open spaces for emergency services, wide roads, modern equipment, skilled manpower, military-civilian coordination, and a robust humanitarian response—all areas where Bangladesh has significant deficiencies. Lessons from this study reveal that climatic conditions and debris management could pose major challenges for Bangladesh in the event of a significant earthquake.

Two decades of bibliometric exploration on leadership in disaster management

Leadership plays a vital role in empowering communities to reduce disaster risks, yet there is limited information on this topic. This study presents a bibliometric analysis concentrated on leadership in disaster management, specifically addressing natural hazards. Utilizing the Scopus database, a total of 152 documents published between 1999 and 2023 were identified. The growth in publications annually has shown an upward trend, particularly since 2012. The International Journal of Disaster Risk Reduction emerged as the primary source. Yet, the most impactful documents in terms of citations predominantly originate from non-disaster-related journals. There remains a notable imbalance in contributions from authors across countries, with the United States of America and Australia exerting significant influence in both document quantity and citation count. Keyword analysis revealed various disasters as pivotal moments driving scholarly advancements, notably Hurricane Katrina in 2005. The role of leadership is not limited to formal institutions and emergency responses but can extend to various actors and sectors in all stages of disaster management. Ultimately, this bibliometric study sheds light on the progression and emerging focal points within the research landscape of leadership in disaster management.

A Review of Using Deep Learning Technology in the Built Environment of Disaster Management Phases

Türkiye is a country in the Alpine-Himalayan earthquake zone and needs an effective disaster management plan, with its geography experiencing severe seismic activities. In this respect, natural disaster risks can be reduced by using developing artificial intelligence technology and deep learning applications in the mitigation, preparedness, response, and recovery phases that constitute the disaster management plan. This study examines deep learning models, application areas, deep learning layers and libraries used, and how deep learning can be used in the four stages of disaster management through study examples in the literature. The study aims to examine the use of deep learning in architecture and disaster management phases based on the earthquake factor as a result of the literature review. As a result, when studies on deep learning are examined, disaster management studies closely related to the discipline of architecture are mainly in the response phase. However, the discipline of architecture plays an important role at every stage of disaster management. In this respect, as holistic studies and applications related to deep learning, architectural science, and effective disaster management increase, the loss of life and property due to disasters, especially earthquakes, will decrease. The study carried out is thought to be an important guide for future research.

Balık Kılçığı Yöntemi ile Sürdürülebilir Afet Yönetiminin İncelenmesi; Hatay İli Örneği

Disasters cause great losses to people and the environment around the world. It’s possible to prevent or reduce these losses with disaster management. An effective disaster management system should be implemented in order to reduce all these damages of disasters. It is especially important that this disaster management is sustainable. The earthquakes that took place in Türkiye on February 6 reminded us once again the importance of disaster management. In this study, the stages of disaster management are mentioned. It’s explained how sustainable disaster management can be. Hatay province was chosen as the study area. The fishbone method was used as the method. After the earthquakes, the current situation in Hatay province was determined and the current situation was analyzed with the fishbone method to provide sustainable disaster management. Thanks to the fishbone method, what can be done for sustainable disaster management in Hatay was discussed and suggestions were presented.

Components and factors affecting adolescent resilience promotion education in disasters: a systematic review

Purpose Community-based disaster management and access to social resilience during disasters are fundamentally based on the concept of participation of all social groups. Up to now, no comprehensive study has been done regarding adolescents’ roles and experiences in all stages of disaster management, and discussions existing in the domain of adolescents’ engagement in disaster risk management are usually restricted to children’s participation. Thus, this study aims to extract the effective components and factors in disaster education to improve adolescents’ resilience to disasters. Design/methodology/approach This systematic review was done through English databases and three Persian databases between August 18, 2001, and August 31, 2021. The articles were searched based on the PRISMA checklist using four key dimensions of “resilience,” “disasters,” “adolescents” and “education.” Finally, the effective components and factors in disaster education for improving adolescents’ resilience during disasters were extracted. Findings Totally, 29,856 articles were extracted through the systematic review. After studying the titles, abstracts and contents of the extracted articles, 17 were selected for the final analysis. Among these articles, 3, 12 and 2 had qualitative, quantitative and mixed research designs, respectively. The extracted components were categorized into five major categories including education, community, adolescents, resilience and governing policies and approaches. Research limitations/implications Unfortunately, due to sanctions, Shiraz University of Medical Sciences did not have access to the Embase database, and consequently, this database could not be used. Originality/value The results of this systematic review presented an overall view of the effective components of adolescents’ disaster resilience education. The formation of thoughts developed feelings, and social knowledge in this age group provides a wide range of opportunities for social empowerment and intergenerational knowledge transfer.

Relationship between emotional intelligence and disaster response self-efficacy: A comparative study in nurses

BackgroundNurses who constitute an important part of the health system play a critical role in all stages of disaster management, especially in providing care for disaster victims. It is essential for nurses to have adequate education and qualifications to reduce disaster-related mortality and morbidity rates in the community. The qualifications of nurses depend not only on their knowledge and skills but also on their emotional abilities such as empathy and stress management. Emotions can impact individuals' levels of self-efficacy in disaster response, and it may help explain the differences in self-efficacy among nurses. ObjectiveThis study aimed to investigate the relationship between emotional intelligence and disaster response self-efficacy, and compare the scores between hospital nurses and National Medical Rescue Team nurses. DesignA cross-sectional design. SettingsThis research was conducted at Bezmialem Foundation University Hospital and National Medical Rescue Team in Istanbul, Turkey. ParticipantsThis study included 565 nurses from two different institutions. MethodsA survey consisting of the Demographic Information Form, the Modified Schutte Emotional Intelligence Scale, and the Disaster Response Self-Efficacy Scale was administered to the nurses. The data collected from March to April of 2022 was analyzed using SPSS 25.0 program. The differences and relationships among variables were determined by using Chi-square tests, student's t-tests, Pearson correlation, and linear regression analyses. ResultsOf the 565 participants, 219 (38.8%) were hospital nurses and 346 (61.2%) were NMRT nurses. NMRT nurses scored significantly higher in emotional intelligence (131.45 ± 6.15 versus 129.75 ± 6.01) and disaster response self-efficacy (80.71 ± 11.38 versus 77.77 ± 11.33) than hospital nurses (p < 0.05). In addition, emotional intelligence was found to be significantly and positively correlated to disaster response self-efficacy (r = 0.885, p < 0.05). ConclusionsThe emotional intelligence and disaster response self-efficacy were positively correlated, and both levels of NMRT nurses higher than hospital nurses. These findings suggest that healthcare organizations should take the emotional intelligence of nurses as an important means to improve their disaster response selfefficacy. It can improve the quality of disaster response to obtain well self-efficacy by developing the emotional intelligence of nurses.

Lessons from Flood Disaster Management of Khuzestan Province, Iran, Based on the Experiences of Policymakers: A Qualitative Study

Background: Floods are among the most destructive crises in various countries, including Iran, and are considered a national issue. To reduce flood damages, the flood management process must be regularly reviewed and its problems be identified. Objectives: Therefore, the present study aimed to focus on flood management in April 2019 in Khuzestan province, Iran, to investigate the flood disaster management in Iran based on the experiences of policymakers, identify problems, improve the process of flood disaster management, and reduce damage in the future. Methods: This study was designed based on qualitative content analysis. Data was collected using one-on-one, semi-structured interviews with open-ended questions. According to the targeted sampling method, six policymakers related to the Khuzestan flood disaster management in April 2019 were selected as interviewees. Interviews continued until data saturation. Results: After data analysis, three main themes were identified, namely 1) actions before the flood disaster, such as provision of infrastructure and public awareness, 2) actions during the flood disaster, such as flood disaster level assessment and coordination of actions, and 3) actions after the flood disaster, such as damage assessment. It should be mentioned that each theme included sub-themes and categories. Conclusion: Increased effectiveness of disaster management requires integration and centralization of disaster management and coordination between organizations involved in the disaster at all stages of disaster management, including before, during, and after the disaster. It is also necessary to pay attention to research and successful models and implement preparedness programs along with disaster drills to prevent disaster damage. Engagement of the participation of people should be considered as well.

Perspectives of racialized immigrant communities on adaptability to climate disasters following the UN Roadmap for Sustainable Development Goals (SDGs) 2030

AbstractClimate Change‐induced risk events intensify vulnerability and disproportionately affect regions and racialized immigrant communities. Understanding the multiple dimensions of disaster and risk, especially how these are embedded in a broader social‐political context, and translated into risk management strategies, have now been identified as priority areas under Sendai Framework for Disaster Risk Reduction 2015–2030 and UN Research Roadmap for achieving Sustainable Development Goals (SDGs) 2030. Drawing on a relational intersectional approach, this study explores the meanings of climate change disasters and risk reduction strategies from a racialized immigrant community's (i.e., Bangladeshi‐Canadian) lived experiences in Calgary, Canada. From our relational research, we learned that extreme climate events (such as forest fires/wildfires, heat waves, flash floods, severe colds, hailstorms, etc.) are the most common stressors unevenly impacting the household economy, physical health, and mental and psychological wellbeing of the racialized immigrant community in Calgary. The community's compounded vulnerability to disaster risks is further aggravated due to their intersectional positionality and structural inequality (systematic marginalization) rooted in the lack of explicit anti‐racist policy guidelines in Canada. The community members adapt diverse strategies (mostly reactive) based on their family income, severity and frequency of the exposure to risks, social support system, geographic location (residence), cultural practices, and involvement with community networks. While proposing solutions, they suggested that community‐engaged tailored disaster intervention strategy could play an instrumental role in addressing social vulnerability (determinants) and enhancing adaptive capacity at the local level. Moreover, this study calls for a more holistic account of the differential vulnerability context to better understand the structural root causes and emphasizes that upscaling land‐based practices and knowledge transmission, ensuring deliberate participation of visible minorities, fostering collective action and integrating local community associations into all stages of disaster management should be the priority for the state agencies to support long‐term resilience.

Speech-Language Pathologists and Disaster Management: Team Roles

Purpose: Disaster management is a topic that is multi-faceted and intricately maintained by professionals who volunteer their expertise and time to assist those who have been affected by an unforeseen disaster. Creating a well-rounded and effective team is of immense importance during disaster situations. Speech-language pathologists can provide vital skills in the realm of communication, feeding, and other areas. However, the role of speech language pathologists within the disaster management team is not well documented in the literature. The purpose of the study was to identify awareness, involvement, and training of speech language pathologists in disaster management stages through exploration of their self-reported knowledge, skills, and roles to better understand their likelihood of response and potential collaborative roles within a disaster management team. Method: To gather data on self-reported awareness, knowledge, skills, participation, training, and perceptions of speech language pathologists as part of the disaster management stage, a cross-sectional survey study was designed. The study specifically targeted licensed speech language pathologists within the state of Florida. Results: There were 216 viable survey responses to analyze. Descriptive and correlational analyses were conducted to examine how speech-language professionals perceive their fit in the arena of disaster management. Speech language pathologists who responded to this survey were primarily white, 40–49-year-old females who had experienced some form of disaster. Most respondents reported receiving no training in disaster management; however, they indicated that speech language pathologists and other healthcare professionals have unique skills that could contribute to disaster management stages. Although there was reportedly limited training and guidance available and minimal professional experience with disaster, speech language pathologists who reported having professional experience with disaster stages, indicated an increased likelihood of participating in future disaster management. Conclusions: Similar to interdisciplinary teams found in clinical practice, healthcare professionals need training and education about their roles to form teams to address the needs of individuals in all disaster management stages. Analyses indicated that speech language pathologists perceive themselves, and other healthcare professionals, could provide meaningful contributions to the disaster management team; however, they have not had adequate professional experience or training.

Where is the Force?: Mismatches and Contradictions with Post-Disaster Recovery and Rehabilitation Task Forces

The Philippines frequently experiences natural disasters and occasionally man-made ones. As such, Republic Act No. 10121, also known as the Philippine Disaster Risk Reduction and Management Act of 2010, provides designated lead agencies to respond to different stages of disaster management. Despite this, the Philippine government has resorted to the creation of inter-agency task forces (IATFs) to deal with these disasters. These task forces were designed to expedite the implementation of rehabilitation programs and projects. However, in the cases of Task Force Yolanda and Task Force Bangon Marawi, the completion of such programs for typhoon Yolanda and Marawi siege affected areas has been delayed tremendously despite the presence of IATFs. Through an assessment on the effectiveness of the IATFs’ clusters using the multiple case study approach, this paper aims to determine whether or not IATFs were necessary for the recovery and rehabilitation phase of Typhoon Yolanda and the Marawi siege. Upon carrying out the assessment, the lack of timeliness and planning of rehabilitation programs, inconsistencies in the NEDA and OCD reports, insufficient community participation, and the mismatch of services and needs were observed. As such, this paper recommends the creation of criteria for the selection of task force leadership along with other measures that can increase the government’s transparency and accountability through periodical auditing and encourage community participation in rehabilitation initiatives.

Identifying the potential participation in natural disaster insurance: first attempt based on a national socio-economic survey in Indonesia

PurposeThis study aims to identify the regions with a high risk of natural disaster, estimate the proportion of households potentially participating in natural disaster insurance and analyze the relationship between disaster risk index and proportion of household potentially participating in natural disaster insurance.Design/methodology/approachDescriptive and quadrant analysis was applied on the 2019 Indonesia Disaster Risk Index (IRBI) scores and the 2019 National Socio-Economic Survey data.FindingsThe results showed there are only two categories of disaster risks in Indonesia based on IRBI categorization: “Medium” and “High.” Some districts in Aceh Province such as Simeuleu, Pidie Jaya and Banda Aceh City were observed to have a high proportion of households potentially participating in the natural disaster insurance while some in Jawa Tengah provinces have fairly low level even though they were categorized as high disaster-prone areas. Moreover, the quadrant analysis showed that 43 districts have high IRBI scores but low insurance participation rates with most discovered to be in Jawa Barat and Sumatera Selatan provinces.Originality/valueIndonesia does not have a financial mitigation program up to the present time because almost all disaster resolutions are formulated based on emergency funds from the state budget even though it is important to use insurance schemes in all stages of disaster management. To the best of the authors’ knowledge, this study is the first attempt to identify households potentially participating in natural disaster insurance through the National Socio-Economic Survey in Indonesia.

MANAJEMEN BENCANA BANJIR DI KECAMATAN PANGEAN KABUPATEN KUANTAN SINGINGI

Pangean District is one of the sub-districts affected by flooding in Kuantan Singingi Regency. So that good flood disaster management is needed in order to reduce or minimize the risk caused by flood disasters. This study focuses on disaster management carried out by the Kuantan Singingi Regency Government, whether it is in accordance with the stages of disaster management, namely Pre-disaster, Emergency Response, and Post-disaster. so that this study is to find out how disaster management is carried out by the Kuantan Singingi Regency Government in tackling flood disasters. the theory used in this study is the theory of Ramli (2010:31) disaster management. There are three stages in managing a disaster, first there is a pre-disaster stage, the second is emergency response and the third is post-disaster. The research method used in this research is descriptive type qualitative method. The results of this study indicate that the stages of disaster management carried out by the Kuantan Singingi district government are starting from the pre-disaster where there are still shortcomings. When doing socialization, many people do not get this information. Then when a disaster occurs, there are shortages, namely logistical limitations and also disaster emergency personnel, and the last stage, namely post-disaster, there are still shortages where the form of rehabilitation carried out by the government is still not well targeted and lacks funds.

Equity-based grid resilience: How do we get there?

The power system worldwide is facing challenges from a changing climate. Decision-makers are tasked with increasing the smartness and resilience of the energy infrastructure to reduce the negative impacts to customers, with the help of new technologies such as household renewable energy generators and electric vehicles. However, a largely overlooked topic is equity, and how the burdens and benefits of the power system are distributed to different communities. To fill this gap, this paper provides a thorough review of the implication of equity in the power system, the significance of guaranteeing energy equity both in everyday operation and disaster management, and the ongoing efforts to plan for equable resilience in various fields. Finally, a holistic power grid resilience enhancement framework is proposed that covers different stages of disaster management and different dimensions of energy equity.

FLOOD VULNERABILITY MAPPING OF RIVER NGADDA USING GEOSPATIAL AND REMOTE SENSING TECHNIQUES MAIDUGURI METROPOLIS, BORNO STATE

Flood disaster has been threating to animal, plants, land, human and non-human resources over the years. This have increased concerns on the need to investigate various vulnerable areas to flood for decision making. As a mitigative measures to loss of lives, properties, and livelihood which could arise from flood disaster, understanding zones at risk to flooding is vital to support all stages of disaster management including early warning and planning. River Ngadda is a major river within Maiduguri metropolis. Its plains and banks are known to have different activities and resources. When the river overflows its shores, neighboring lands could suffer destruction, there could be loss of lives and properties. This project aims to investigate flood vulnerability along River Ngadda identifying the shores, plains, and banks of the river at risk. The research adopts ground truth information, the use of Aster DEM (30m) and Sentinel 2 (10m) Satellite Imagery dataset through Geospatial and Remote Sensing techniques to assess undulating nature of the area under study, identify areas liable to flood and analyzed the flood plain. Further analysis was carried out to obtain the Land use and Landcover (LULC) within the study area using a supervised classification and areas at various flood risk were also identified. This research results presented the river plains, flood vulnerable impact on LULC, it was found that 13.17 hectares of built-up areas fall within the very high flood risk zone, over sixty six percent (66%) of the study area appears fall within the moderate to very high vulnerable flood risk zone and the production of the flood plains, LULC, risk and hazard map of the study area was presented. This result could aid early warning, planning and decision making for River Ngadda and its environs.

Against the Odds: Developing a Core Competence Framework of Social Work Practice for the Field of Disaster Management in China

Disaster plans are complex and the role of social workers can become lost amidst plans and processes. Although social workers' skill sets are desperately needed during disasters and recovery, in many disaster management strategies their roles are not acknowledged. In order to maximise their value, specific training for social workers in disaster management needs to be reinvigorated. Associate Professor Timothy Sim, Singapore University of Social Sciences, believes that current social work research in disaster management is underdeveloped, and other professionals are unclear about social workers' roles in it. His project to examine the core competence of social work in various stages of disaster management was funded by the General Research Fund of the Hong Kong SAR Government. He and colleagues from China and around the world devised a new competence framework that is unique from previous attempts. The framework comprises five dimensions: knowledge, values, skills, roles and tasks, in four specific disaster management phases: mitigation, preparedness, response and recovery. The thinking behind this novel structure is that it will help social work professionals clarify related concepts and comprehend competencies, roles and tasks for each phase of the disaster management cycle. The approach is also more comprehensive and precise than has been seen previously and will improve collaboration between social workers, governments and non-government organisations. Furthermore, the team used rigorous research methods when designing the framework, including an integrative review, in-depth interviews and a Delphi study. In addition, the team is confident the framework will have a long-term impact and could be applied to other countries and contexts.

ANALISIS PENGGUNAAN MEDIA SOSIAL DALAM MITIGASI BENCANA BANJIR DI DKI JAKARTA TAHUN 2020

This study aims to explain how the use of twitter in disseminating disaster information in order to increase public awareness of natural disasters, namely the twitter account @BPBDJakarta. The research method used is qualitative research with descriptive analysis techniques using Twitter content analysis, one of the government-owned social media accounts using the Nvivo 12 Plus application. In addition, the research also uses data triangulation to obtain the required data. The source is obtained from information from credible online newspapers that have been registered with the press council, so that the information submitted can be justified. The results of this study conclude that the Jakarta Regional Disaster Management Agency's twitter account coordinates all units involved in disaster management. The information posted by BPBD DKI Jakarta on its twitter account is a form of disaster management stages which include pre-disaster (preparedness, early warning and mitigation), during a disaster (emergency response and disaster management), and post-disaster (rehabilitation and reconstruction). The contribution of hastags twitter on the Twitter account of the Jakarta Regional Disaster Management Agency for flood disaster mitigation in this case this Twitter account acts as a government medium to listen to information obtained from # hashtags that often appear on its twitter account.

Knowledge, practices and perceived barriers of physiotherapists involved in disaster management: a cross-sectional survey of Nigeria-based and trained physiotherapists.

BackgroundDisasters represent substantial health risks to the human population. Proper interventions at all stages of disaster management (DM) are essential for human-related outcomes. The role of physiotherapy in DM should not be underestimated, but unfortunately information on the involvement of physiotherapists in DM is limited in sub-Saharan Africa.MethodsOne hundred and fifty Nigeria-based and trained physiotherapists were recruited to complete a questionnaire investigating the knowledge, practices and perceived barriers of the role of physiotherapists in DM.ResultsPhysiotherapists had moderate knowledge of their role at every stage of DM. However, their involvement in specific DM-related activities during various stages of DM in the country was low. Major barriers to the involvement of physiotherapists in DM included a lack of established government policies on the integration of physiotherapists in DM (90.0%) and a lack of specialty clinical practice areas in DM (89.3%). For improved involvement of physiotherapists in DM in Nigeria, respondents recommended creating an awareness of the role of physiotherapists in DM (91.3%), providing continuous education programmes on DM (90.6%) and inclusion of DM in physiotherapy training programmes in Nigeria (90.0%).ConclusionPhysiotherapists perceived that they are not adequately involved in DM in Nigeria, despite their moderate knowledge of their role during DM.