Human Factors Challenges in Disaster Management Scenario

2017 ◽  
pp. 171-187
Author(s):  
Fabio De Felice ◽  
Antonella Petrillo ◽  
Federico Zomparelli
Keyword(s):  
Human Factors ◽  
Disaster Management ◽  
Management Scenario

scholarly journals IoTs (Internet of Things) and DfPL (Device-free Passive Localisation) in a disaster management scenario

2013 ◽  
Vol 35 ◽  
pp. 86-96 ◽  
Author(s):  
Gabriel Deak ◽  
Kevin Curran ◽  
Joan Condell ◽  
Eleana Asimakopoulou ◽  
Nik Bessis
Keyword(s):  
Internet Of Things ◽  
Disaster Management ◽  
Management Scenario ◽  
Device Free

scholarly journals Insights into disaster management scenario among various health-care students in India: A multi-institutional, multi-professional study

2020 ◽  
Vol 45 (2) ◽  
pp. 220
Author(s):  
Almas Binnal ◽  
Gururaghavendran Rajesh ◽  
MithunB H. Pai ◽  
SVijayendranath Nayak ◽  
Ramya Shenoy ◽  
...  
Keyword(s):  
Health Care ◽  
Disaster Management ◽  
Health Care Students ◽  
Management Scenario ◽  
Professional Study

scholarly journals General Dental Practitioners as Potential Responders to Disaster Scenario in a Highly Disaster-prone Area: An Explorative Study

2017 ◽  
Vol 18 (12) ◽  
pp. 1144-1152
Author(s):  
Gururaghavendran Rajesh ◽  
Almas Binnal ◽  
Mithun BH Pai ◽  
Vijayendranath Nayak ◽  
Ashwini Rao
Keyword(s):  
Disaster Management ◽  
Disaster Response ◽  
Disaster Mitigation ◽  
Willingness To Participate ◽  
Perceived Effectiveness ◽  
Explorative Study ◽  
Management Scenario ◽  
Dental Practitioners ◽  
Attitude Behavior ◽  
Disaster Scenario

ABSTRACT Aim The aim of this study is to obtain insights pertaining to disaster management among Indian general dental practitioners (GDPs). Materials and methods All GDPs in Mangaluru city, Karnataka, India, were included in the present study. Their willingness to participate in disaster management and their objective knowledge, attitude, behavior, and perceived effectiveness related to disaster management were assessed by a structured, pretested, self-administered questionnaire. Demographic information was also collected. Results Overall, 101 GDPs volunteered for the study, and 96.04% of respondents were willing to participate in disaster management. Mean knowledge, attitude, behavior, and perceived effectiveness scores were 52.65, 79.60, 41.55, and 64.20% respectively. Religion (odds ratio [OR] = –0.194, p = 0.022), marital status (OR = –0.222, p = 0.040), attachment to college (OR = –0.256, p = 0.037), familiarity with standard operating procedures (SOP; OR = –0.502, p = 0.000), and knowledge (OR = 0.265, p = 0.003) were significant predictors of behavior. Conclusion The GDPs reported knowledge and behavior scores which were low, while their attitude and willingness to participate were high. Demographic determinants might be critical indicators in disaster management scenario among GDPs. Clinical significance The present study has crucial implications for policymakers and curriculum changes to integrate dentists effectively into disaster response teams. As responsible members of the society, the dental fraternity has critical contributions to make toward disaster mitigation. Integration of GDPs in a multidisciplinary team managing disasters might be crucial, especially in highly disaster-prone areas, such as India, with a definite paucity of resources. How to cite this article Rajesh G, Binnal A, Pai MBH, Nayak V, Shenoy R, Rao A. General Dental Practitioners as Potential Responders to Disaster Scenario in a Highly Disasterprone Area: An Explorative Study. J Contemp Dent Pract 2017;18(12):1144-1152.

Human Behavior in Extreme Situations: Generalizations from a Review of the Disaster Literature

1978 ◽  
Vol 22 (1) ◽  
pp. 125-128
Author(s):  
Robert A. Levit
Keyword(s):  
Human Factors ◽  
Disaster Management ◽  
Human Behavior ◽  
Human Factors Research

The psycho-social and physical disruptions characterized as disasters occur quite frequently. Human factors professionals, like most individuals, tend not to think about disaster until it happens to them. The result is very little human factors research on topics pertinent to disaster management. Generalizations from the disaster literature are coupled with a review of exemplary human factors studies to explore some general principles of disaster management.

Developing Efficient Web Crawler for Effective Disaster Management

2021 ◽  
Author(s):  
Lakshmi S Gopal ◽  
Rekha Prabha ◽  
Divya Pullarkatt ◽  
Maneesha Vinodini Ramesh
Keyword(s):  
Social Media ◽  
Disaster Management ◽  
Language Processing ◽  
Web Crawler ◽  
Natural Languages ◽  
Social Media Data ◽  
News Reports ◽  
Management Scenario ◽  
Disaster Loss ◽  
Media Data

<p>The exponential escalation of disaster loss in our country has led to the awareness that disaster risks are presumably increasing. In the past few years, numerous hazards have been reported in India which has caused severe casualties, infrastructural, agricultural and economic damages. Over the years, researchers have scrutinized social media data for disaster management as it has the advantage of being available in real time and stays relevant in hazard response. But, the authenticity of social media data has been questioned particularly in a disaster management scenario where false information cannot be afforded. Collection of credible disaster statistics during or after a hazard occurrence is a demanding task. Web documents such as a news report are credible when compared to social media data and hence, the proposed work aims in developing a web crawler which is a software that's capable of indexing legitimate news websites from the world wide web which contains news articles related to hazards. The articles are extracted by incorporating the technique of data scraping which includes the use of a developed hazard ontology. The ontology contains hazard relevant keywords at multiple granularities. The developed crawler is able to prioritise websites based on its contents which makes the data collection more accurate. The collected data is  analyzed and structured as it may assist in administering hazard emergencies during a hazard, preparedness before a hazard occurrence and other post disaster activities efficiently. The proposed work also focuses on local media as it may provide news reports from regional locations which might not be reported in the mainstream media.  News articles are written in natural languages and hence structuring them into a statistical form involves natural language processing methodologies. The proposed work mainly focuses on semantic information extraction from news articles to extract statistical data related to the hazard, its impacts and loss.  News illustrations often include less newsworthy content such as advertisements and past studies of the hazard location. Hence, a supervised learning based text classification is performed to classify newsworthy content from the articles and approximately 70% accuracy has been achieved.</p>

Disaster Management and Virtual Globes

2011 ◽  
pp. 227-244
Author(s):  
Gunter Zeug ◽  
Dominik Brunner
Keyword(s):  
Developing Countries ◽  
Disaster Management ◽  
Low Cost ◽  
Google Earth ◽  
Added Value ◽  
Geospatial Technologies ◽  
Adequate Knowledge ◽  
Management Scenario ◽  
Virtual Globes ◽  
Data Layers

Today, the added value of geoinformation for crisis management is well known and accepted. However, experiences show that disaster management units on local administrative levels in the developing world often lack the use of Geographic Information Systems for analysing spatial interrelations and making their own maps. Various studies mention the shortage of financial resources, human capacity, and adequate knowledge as reasons for that. In recent years publically available virtual globes like Google Earth™, Microsoft® Bing™ Maps 3D or Nasa World Wind enjoy great popularity. The accessibility of worldwide high resolution satellite data, their intuitive user interface, and the ability to integrate own data support this success. In this chapter, the potential of these new geospatial technologies for supporting disaster preparedness and response is demonstrated, using the example of Google Earth™. Possibilities for the integration of data layers from third parties, the digitization of own layers, as well as the analytical capacities are examined. Furthermore, a printing module is presented, which supports the production of paper maps based on data previously collected and edited in Google Earth™. The efficiency of the proposed approach is demonstrated for a disaster management scenario in Legazpi, a Philippine city exposed to several natural hazards due to the vicinity to Mayon volcano and the annually occuring typhoons in the region. With this research, current technological trends in geospatial technologies are taken up and investigated on their potential for professional use. Moreover, it is demonstrated that by using freely available software general constraints for using GIS in developing countries can be overcome. Most importantly, the approach presented guarantees low cost for implementation and reproducibility, which is essential for its application in developing countries.

Disaster Management and Virtual Globes

2013 ◽  
pp. 1587-1603 ◽  
Author(s):  
Gunter Zeug ◽  
Dominik Brunner
Keyword(s):  
Developing Countries ◽  
Disaster Management ◽  
Low Cost ◽  
Google Earth ◽  
Added Value ◽  
Geospatial Technologies ◽  
Adequate Knowledge ◽  
Management Scenario ◽  
Virtual Globes ◽  
Data Layers

Today, the added value of geoinformation for crisis management is well known and accepted. However, experiences show that disaster management units on local administrative levels in the developing world often lack the use of Geographic Information Systems for analysing spatial interrelations and making their own maps. Various studies mention the shortage of financial resources, human capacity, and adequate knowledge as reasons for that. In recent years publically available virtual globes like Google Earth™, Microsoft® Bing™ Maps 3D or Nasa World Wind enjoy great popularity. The accessibility of worldwide high resolution satellite data, their intuitive user interface, and the ability to integrate own data support this success. In this chapter, the potential of these new geospatial technologies for supporting disaster preparedness and response is demonstrated, using the example of Google Earth™. Possibilities for the integration of data layers from third parties, the digitization of own layers, as well as the analytical capacities are examined. Furthermore, a printing module is presented, which supports the production of paper maps based on data previously collected and edited in Google Earth™. The efficiency of the proposed approach is demonstrated for a disaster management scenario in Legazpi, a Philippine city exposed to several natural hazards due to the vicinity to Mayon volcano and the annually occuring typhoons in the region. With this research, current technological trends in geospatial technologies are taken up and investigated on their potential for professional use. Moreover, it is demonstrated that by using freely available software general constraints for using GIS in developing countries can be overcome. Most importantly, the approach presented guarantees low cost for implementation and reproducibility, which is essential for its application in developing countries.

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