scholarly journals What Should an African Health Workforce Know About Disasters? Proposed Competencies for Strengthening Public Health Disaster Risk Management Education in the African Region

2017 ◽  
Vol 32 (S1) ◽  
pp. S69
Author(s):  
Olushayo Olu ◽  
Abdulmumini Usman ◽  
Kalula Kalambay ◽  
Stella Anyangwe ◽  
Kuku Voyi ◽  
...  
Keyword(s):  
Public Health ◽  
Risk Management ◽  
Health Workforce ◽  
Management Education ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
African Region ◽  
African Health

scholarly journals Health Workforce Development in Health Emergency and Disaster Risk Management: The Need for Evidence-Based Recommendations

2021 ◽  
Vol 18 (7) ◽  
pp. 3382
Author(s):  
Kevin K. C. Hung ◽  
Sonoe Mashino ◽  
Emily Y. Y. Chan ◽  
Makiko K. MacDermot ◽  
Satchit Balsari ◽  
...  
Keyword(s):  
Risk Management ◽  
Risk Reduction ◽  
Case Studies ◽  
Workforce Development ◽  
Health Workforce ◽  
Disaster Risk Reduction ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Evidence Based ◽  
Literature Reviews

The Sendai Framework for Disaster Risk Reduction 2015–2030 placed human health at the centre of disaster risk reduction, calling for the global community to enhance local and national health emergency and disaster risk management (Health EDRM). The Health EDRM Framework, published in 2019, describes the functions required for comprehensive disaster risk management across prevention, preparedness, readiness, response, and recovery to improve the resilience and health security of communities, countries, and health systems. Evidence-based Health EDRM workforce development is vital. However, there are still significant gaps in the evidence identifying common competencies for training and education programmes, and the clarification of strategies for workforce retention, motivation, deployment, and coordination. Initiated in June 2020, this project includes literature reviews, case studies, and an expert consensus (modified Delphi) study. Literature reviews in English, Japanese, and Chinese aim to identify research gaps and explore core competencies for Health EDRM workforce training. Thirteen Health EDRM related case studies from six WHO regions will illustrate best practices (and pitfalls) and inform the consensus study. Consensus will be sought from global experts in emergency and disaster medicine, nursing, public health and related disciplines. Recommendations for developing effective health workforce strategies for low- and middle-income countries and high-income countries will then be disseminated.

scholarly journals DEVELOPMENT OF TIME-SERIES HUMAN SETTLEMENT MAPPING SYSTEM USING HISTORICAL LANDSAT ARCHIVE

2016 ◽  
Vol XLI-B8 ◽  
pp. 1385-1388
Author(s):  
H. Miyazaki ◽  
M. Nagai ◽  
R. Shibasaki
Keyword(s):  
Public Health ◽  
Time Series ◽  
Risk Management ◽  
Satellite Data ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Training Data ◽  
Series Data ◽  
Landsat Data ◽  
Human Settlement

Methodology of automated human settlement mapping is highly needed for utilization of historical satellite data archives for urgent issues of urban growth in global scale, such as disaster risk management, public health, food security, and urban management. As development of global data with spatial resolution of 10-100 m was achieved by some initiatives using ASTER, Landsat, and TerraSAR-X, next goal has targeted to development of time-series data which can contribute to studies urban development with background context of socioeconomy, disaster risk management, public health, transport and other development issues. We developed an automated algorithm to detect human settlement by classification of built-up and non-built-up in time-series Landsat images. A machine learning algorithm, Local and Global Consistency (LLGC), was applied with improvements for remote sensing data. The algorithm enables to use MCD12Q1, a MODIS-based global land cover map with 500-m resolution, as training data so that any manual process is not required for preparation of training data. In addition, we designed the method to composite multiple results of LLGC into a single output to reduce uncertainty. The LLGC results has a confidence value ranging 0.0 to 1.0 representing probability of built-up and non-built-up. The median value of the confidence for a certain period around a target time was expected to be a robust output of confidence to identify built-up or non-built-up areas against uncertainties in satellite data quality, such as cloud and haze contamination. Four scenes of Landsat data for each target years, 1990, 2000, 2005, and 2010, were chosen among the Landsat archive data with cloud contamination less than 20%.We developed a system with the algorithms on the Data Integration and Analysis System (DIAS) in the University of Tokyo and processed 5200 scenes of Landsat data for cities with more than one million people worldwide.

scholarly journals DEVELOPMENT OF TIME-SERIES HUMAN SETTLEMENT MAPPING SYSTEM USING HISTORICAL LANDSAT ARCHIVE

2016 ◽  
Vol XLI-B8 ◽  
pp. 1385-1388 ◽  
Author(s):  
H. Miyazaki ◽  
M. Nagai ◽  
R. Shibasaki
Keyword(s):  
Public Health ◽  
Time Series ◽  
Risk Management ◽  
Satellite Data ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Training Data ◽  
Series Data ◽  
Landsat Data ◽  
Human Settlement

Methodology of automated human settlement mapping is highly needed for utilization of historical satellite data archives for urgent issues of urban growth in global scale, such as disaster risk management, public health, food security, and urban management. As development of global data with spatial resolution of 10-100 m was achieved by some initiatives using ASTER, Landsat, and TerraSAR-X, next goal has targeted to development of time-series data which can contribute to studies urban development with background context of socioeconomy, disaster risk management, public health, transport and other development issues. We developed an automated algorithm to detect human settlement by classification of built-up and non-built-up in time-series Landsat images. A machine learning algorithm, Local and Global Consistency (LLGC), was applied with improvements for remote sensing data. The algorithm enables to use MCD12Q1, a MODIS-based global land cover map with 500-m resolution, as training data so that any manual process is not required for preparation of training data. In addition, we designed the method to composite multiple results of LLGC into a single output to reduce uncertainty. The LLGC results has a confidence value ranging 0.0 to 1.0 representing probability of built-up and non-built-up. The median value of the confidence for a certain period around a target time was expected to be a robust output of confidence to identify built-up or non-built-up areas against uncertainties in satellite data quality, such as cloud and haze contamination. Four scenes of Landsat data for each target years, 1990, 2000, 2005, and 2010, were chosen among the Landsat archive data with cloud contamination less than 20%.We developed a system with the algorithms on the Data Integration and Analysis System (DIAS) in the University of Tokyo and processed 5200 scenes of Landsat data for cities with more than one million people worldwide.

Challenges and Strategies for Climate Change Adaptation Among Pacific Island Nations

2012 ◽  
Vol 6 (4) ◽  
pp. 415-423
Author(s):  
Mollie J. Mahany ◽  
Mark E. Keim
Keyword(s):  
Public Health ◽  
Climate Change ◽  
Risk Management ◽  
Climate Change Adaptation ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Small Island ◽  
Pacific Island ◽  
Small Island Developing States ◽  
The Pacific

ABSTRACTFew regions of the world are at higher risk for environmental disasters than the Pacific Island countries and territories. During 2004 and 2005, the top public health leadership from 19 of 22 Pacific Island countries and territories convened 2 health summits with the goal of developing the world's first comprehensive regional strategy for sustainable disaster risk management as applied to public health emergencies. These summits followed on the objectives of the 1994 Barbados Plan of Action for the Sustainable Development of Small Island Developing States and those of the subsequent Yokohama Strategy and Plan of Action for a Safer World. The outputs of the 2004 and 2005 Pacific Health Summits for Sustainable Disaster Risk Management provide a detailed description of challenges and accomplishments of the Pacific Island health ministries, establish a Pacific plan of action based upon the principles of disaster risk management, and provide a locally derived, evidence-based approach for many climate change adaptation measures related to extreme weather events in the Pacific region. The declaration and outputs from these summits are offered here as a guide for developmental and humanitarian assistance in the region (and for other small-island developing states) and as a means for reducing the risk of adverse health effects resulting from climate change.(Disaster Med Public Health Preparedness. 2012;6:415-423)

scholarly journals From Science to Policy and Practice: A Critical Assessment of Knowledge Management Before, During, and After Environmental Public Health Disasters

2019 ◽  
Vol 34 (s1) ◽  
pp. s73-s74
Author(s):  
Mélissa Généreux ◽  
Marc Lafontaine ◽  
Angela Eykelbosh
Keyword(s):  
Public Health ◽  
Risk Management ◽  
Knowledge Management ◽  
Participant Observation ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
World Health ◽  
Policy And Practice ◽  
Environmental Public Health ◽  
Wide Range

Introduction:Canada, like many countries, increasingly faces environmental public health (EPH) disasters. Such disasters often require both short- and long-term responses, necessitate evacuation and relocation, cause major environmental impacts, and generate the need for specific knowledge and expertise (chemistry, epidemiology, risk assessment, mental health, etc.).Aim:Given the importance of evidence-based, risk-informed decision making, we aimed to critically assess the integration of EPH expertise and research into each phase of disaster risk management in several Canadian and other jurisdictions.Methods:In-depth interviews were conducted with 23 leaders in disaster risk management from Canada, United States, United Kingdom, and Australia, and were complemented by other methods (i.e. participant observation, information gathered from participation in scientific events, and document review). Three criteria were explored: governance, knowledge creation and translation, and related needs and barriers. An interview guide was developed based on a standardized toolkit from the World Health Organization. Data were analyzed through a four-step content analysis.Results:Six cross-cutting themes emerged from the analysis. These themes are identified as critical factors in successful disaster knowledge management: 1) blending the best of traditional and modern approaches, 2) fostering community engagement; 3) cultivating relationships, 4) investing in preparedness and recovery, 5) putting knowledge into practice, and 6) ensuring sufficient human and financial resources. A wide range of promising knowledge-to-action strategies was also identified, including mentorship programs, communities of practice, advisory groups, systematized learning, and comprehensive repositories of tools and resources.Discussion:There is no single roadmap to incorporate EPH knowledge and expertise into disaster risk management. Our findings suggest that beyond structures and plans, it is necessary to cultivate relationships and share responsibility for ensuring the safety, health, and wellbeing of affected communities while respecting the local culture, capacity, and autonomy. Any such considerations should be incorporated into disaster risk management planning.

Defining Disaster-Related Health Risk: A Primer for Prevention

2018 ◽  
Vol 33 (3) ◽  
pp. 308-316 ◽  
Author(s):  
Mark Keim
Keyword(s):  
Public Health ◽  
Risk Management ◽  
Health Risk ◽  
Disaster Risk ◽  
International Standards ◽  
Disaster Risk Management ◽  
Health Determinants ◽  
Publication Type ◽  
Ongoing Research ◽  
Public Health Decision

AbstractEffective disaster risk management requires not only management of the immediate problem (disaster-related injuries and disease), but also of the patient’s risk factors and of the underlying health determinants. This requires an accurate and well-validated process for assessment of the determinants of disease.Ideally, disaster risk management is based on a prioritization process. Once hazards have been identified, they are assessed in terms of the probability and impact in terms of losses. The hazards associated with the greatest probability and impact loss are prioritized. In addition to prioritization, risk assessment also offers a process for ongoing research involving the interaction of health determinants, risk, and protective factors that may contribute to future adverse health outcomes.Recently, assessments of health risk have become an integral part of local, state, and national emergency preparedness programs. One of the strengths of these assessments is the convening of multi-sectoral input for public health decision making and plans. However, this diversity of input also creates challenges in development of a common nomenclature for assessing and communicating the characteristics of this risk. Definitions remain ambiguous for many of the key indicators of disaster risk, especially those applied to health risk.This report is intended as a primer for defining disaster-related health risk. This framework is discussed within a nomenclature that is consistent with international standards for risk management and public health prevention.KeimM. Defining disaster-related health risk: a primer for prevention. Prehosp Disaster Med. 2018;33(3):308-316.

Simulation-based learning in tertiary-level disaster risk management education: a class-room experiment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jerry Chati Tasantab ◽  
Thayaparan Gajendran ◽  
Toinpre Owi ◽  
Emmanuel Raju
Keyword(s):  
Risk Management ◽  
Management Education ◽  
Tertiary Education ◽  
Management Practice ◽  
Real Life ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Tertiary Level ◽  
Content Type ◽  
Simulation Based

Purpose Conventional lecture-based educational approaches alone might not be able to portray the complexity of disaster risk management practice and its real-life dynamics. One work-integrated learning practice that can give students practical work-related experiences is simulation-based learning. However, there is a limited discourse on simulation-based learning in disaster risk management education at the tertiary level. As tertiary education plays a crucial role in developing capabilities within the workforce, simulation-based learning can evoke or replicate substantial aspects of the real world in a fully interactive fashion. This paper aims to present outcomes of simulation-based learning sessions the authors designed and delivered in a disaster risk management course. Design/methodology/approach The authors developed a framework to illustrate simulation-based learning in a disaster risk management programme. It was then used as a guide to design and execute simulation-based learning sessions. An autoethnographic methodology was then applied to reflectively narrate the experiences and feelings during the design and execution of the simulations. Findings The evaluation of the simulation sessions showed that participants were able to apply their knowledge and demonstrate the skills required to make critical decisions in disaster risk reduction. The conclusion from the simulation-based learning sessions is that making simulation-based learning a part of the pedagogy of disaster risk management education enables students to gain practical experience, deliberate ethical tensions and practical dilemmas and develop the ability to work with multiple perspectives. Originality/value The simulated workplace experience allowed students to experience decision-making as disaster risk management professionals, allowing them to integrate theory with practice.

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