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نتیجه جستجو - Disaster response

تعداد مقالات یافته شده: 4
ردیف عنوان نوع
1 Nurses knowledge, skills and preparedness for disaster management of a Megapolis: Implications for nursing disaster education
دانش، مهارت و آمادگی پرستاران برای مدیریت بلایا در یک کلانشهر: پیامدهایی برای آموزش پرستاری در بلایا-2021
As frontline health caregivers, nurses must be adequately prepared to respond effectively to disasters. Therefore, it is necessary to assess nurses’ disaster management capacity to know their preparedness levels, especially for a densely populated Megapolis like Dhaka, which is at high risk of disasters. Thus, the study aimed to examine Dhaka city nurses’ knowledge, skills, preparedness (KSP) for disasters and explore the factors influencing the KSP levels. A self-explanatory descriptive survey questionnaire was developed adopting the Disaster Preparedness Evaluation Tool (DPET) in Bangla language for quantitative data collection. Following multistage sampling, 410 nurses’ data were collected from eight hospitals in Dhaka city. The nurses in Dhaka city had moderate levels of knowledge, skills, and preparedness for disaster management, reflecting that they need more development to deal with disasters effectively. Moreover, multiple linear regression analyses indicate that nurses’ disaster knowledge, skills, and preparedness scores were significantly positively associated with training on disaster management (p < 0.001) and disaster response experience (p < 0.001). In addition, one-half of the respondents demanded more drills and exercises on disaster management in their workplaces to enhance their disaster skills and preparedness. Furthermore, disaster education should be incorporated into the nursing curriculum, which would play a seminal role in preparing them for future disaster management.
keywords: آمادگی در برابر بلایا | دانش بلایا | مهارت ها | داکا | پرستاران | مدیریت بلایا | بنگلادش | Disaster preparedness | Disaster knowledge | Skills | Dhaka | Nurses | Disaster management | Bangladesh
مقاله انگلیسی
2 Public perceptions on artificial intelligence driven disaster management: Evidence from Sydney, Melbourne and Brisbane
ادراکات عمومی در مورد مدیریت فاجعه مبتنی بر هوش مصنوعی: شواهدی از سیدنی، ملبورن و بریزبن-2021
In recent years, artificial intelligence (AI) is being increasingly utilised in disaster management activities. The public is engaged with AI in various ways in these activities. For instance, crowdsourcing applications developed for disaster management to handle the tasks of collecting data through social media platforms, and increasing disaster awareness through serious gaming applications. Nonetheless, there are limited empirical investigations and understanding on public perceptions concerning AI for disaster management. Bridging this knowledge gap is the justification for this paper. The methodological approach adopted involved: Initially, collecting data through an online survey from residents (n = 605) of three major Australian cities; Then, analysis of the data using statistical modelling. The analysis results revealed that: (a) Younger generations have a greater appreciation of opportunities created by AI-driven applications for disaster management; (b) People with tertiary education have a greater understanding of the benefits of AI in managing the pre- and post-disaster phases, and; (c) Public sector administrative and safety workers, who play a vital role in managing disasters, place a greater value on the contributions by AI in disaster management. The study advocates relevant authorities to consider public perceptions in their efforts in integrating AI in disaster management.
keywords: artificial intelligence (AI) | Disaster management | Disaster preparedness | Disaster response | Disaster recovery | Public perception
مقاله انگلیسی
3 Connecting the dots: A longitudinal observation of relief organizations representational networks on social media
اتصال نقاط: مشاهده طولی شبکه های بازنمودی سازمان های امدادرسانی در رسانه های اجتماعی-2017
In response to the call in the public relations research to examine organizations relationship building beyond dyadic organization-public ties, this study employs a multidimensional network approach to understand relief organizations relationship building through different features of social media. Unlike the organizations studied in the existing public relations research, relief organizations often incorporate emergency or disaster response as part of their mission operations. Specifically, this study focuses on the organizations involved in the response actions after Typhoon Haiyan. Analysis of 66 relief organizations network data on Twitter and Facebook shows that organizations multiple types of relationships in the form of interorganizational representational networks constructed through different features of social media are closely linked during and immediately after Typhoon Haiyan. However, organizations posi tional centrality stays persistent across these networks over time, which suggests both constraints and opportunities for organizations to build relational advantages through distinct features of social media. Findings of this study show the usefulness of a multidimensional network approach in revealing the hidden patterns behind organizations communication behavior on social media. In doing so, this study offers more comprehensive explanations for organizations relationship building and relational outcomes through social media use.
Keywords: Social media | Technological affordances | Relief organizations | Social network analysis | Disaster response | Public relations
مقاله انگلیسی
4 Towards multi-agency sensor information integration for disaster management
به سمت یکپارچه سازی اطلاعات حسگر چند سازمانی برای مدیریت بحران-2016
Having access to real-time spatial information is central to the functioning of disaster management, and in par- ticular disaster response. Existing spatially-enabled solutions for managing urban disasters provide limited sup- port for time-sensitivity and urgency underlying emergency situations. These approaches mainly suffer from low temporal resolution and inability to source a broad range of required disaster data, together with insufficient sup- port for automated operations. However, disaster management procedures, integrated with in situ sensing, promise an extensive range of real-time data and automated processes to acquire and manage disaster informa- tion. In this research, we study the process of integrating multi-agency in situ sensors for supporting disaster management. For this purpose, the research was adopted in Australia as the case study area in disaster manage- ment of a flood by emphasizing on the response phase. This paper first identifies the issues and existing require- ments in the process of multi-agency sensor information integration and then proposes a standard-based approach to overcoming these integration issues. Afterward, based on the presented approach and identified re- quirements, a GIS-based software IDDSS-Sensor is implemented to provide the functions of standard-based ac- cess, as well as on-the-fly harmonization, integration and usage of multi-agency sensor information. We evaluate the applicability of our developed approach by applying it to the use case of supporting flash flood evac- uation response.© 2015 Elsevier Ltd. All rights reserved.
Keywords: Multi-agency | Disaster management | Sensor information integration | In situ sensing | OGC Sensor Web Enablement | Sensor web services
مقاله انگلیسی
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