Barriers to Climate Disaster risk Management for Public Health: Lessons from a Pilot Survey of National Public Health Representatives

Author(s):  
Hannah Marcus ◽  
Liz Hanna

Abstract Objectives: This study sought to examine current national disaster risk management capacities, and identify governance barriers to strengthening national preparedness for responding to public health emergencies, associated with the anticipated climate-driven intensification of natural disaster cycles. Methods: A mixed-methods online survey, assessing broader governance constraints to climate change adaptation (CCA) for public health, was distributed to representatives of national public health associations, and societies of 82 member countries under the World Federation of Public Health Associations. Specific questions relevant to disaster risk management capacities and barriers were analyzed as part of a narrowed focus on the CCA subdomain of emergency preparedness. Results: Existence of some technology, infrastructure, and/ or human resources, necessary to develop early warning and other surveillance systems for climate-related health risks was reported by 9 out of 11 responding countries. However, 7 reported persistent limitations and/ or regional discrepancies. Most significant identified barriers to strengthening emergency preparedness at the national level included governance coordination challenges, and, in the case of many developing countries, technical, medical, and human resource shortages. Conclusions: The development of new frameworks for intersectoral governance and large-scale resource mobilization will prove crucial to ongoing efforts to strengthen national climate-health resiliency and prepare for disaster-associated health threats.

Author(s):  
H. Miyazaki ◽  
M. Nagai ◽  
R. Shibasaki

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.


Author(s):  
H. Miyazaki ◽  
M. Nagai ◽  
R. Shibasaki

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.


2016 ◽  
Vol 25 (4) ◽  
pp. 464-477 ◽  
Author(s):  
David Oliver Kasdan

Purpose – The purpose of this paper is to explore the relationship between factors of socio-cultural contexts and disaster risk. Recent efforts by international organizations and research scholarship have emphasized that applying contextual understandings of human behavior can improve the effectiveness of disaster risk management (DRM). Design/methodology/approach – The research employs multiple correlation analysis to find significant relationships between two sources of socio-cultural data and the World Risk Index scores. Findings – There are interesting relationships between various measures of socio-cultural context and disaster risk, such as correlations with levels of individualism, self-expression, and secular-rational values. Research limitations/implications – While using the broadest sample available with the data sources, generalizations about the relationships must be tempered as inherently anecdotal and needing greater depth of study. The national level of analysis is controversial. Practical implications – Emergency managers can extend the knowledge about socio-cultural influences on disaster risk to tailor policy for effective practices. Social implications – Societies may recognize their behaviors as being conducive or obstructive to DRM based on their socio-cultural characteristics; governments may operationalize the findings into policy responses for more nuanced mitigation efforts. Originality/value – This research adds to the momentum for considering non-technical approaches to DRM and expands the potential for social science derived variables in DRM.


2020 ◽  
Vol 25 (4) ◽  
pp. 287-306
Author(s):  
Hannah Marcus ◽  
Liz Hanna

PurposeTo uncover the major government constraints to enactment and implementation of public health-targeted climate change adaptation (CCA) strategies in order to equip public health stakeholders and health advocates with the knowledge resources necessary to more effectively mobilize and support CCA for public health responses at the national level.Design/methodology/approachA mixed-methods online survey was distributed to the representatives of national public health associations and societies of 82 countries. The survey comprised 15 questions assessing national progress on CCA for public health and the effects of various institutional, economic/financial, technical and sociopolitical barriers on national adaptive capacity.FindingsSurvey responses from 11 countries indicated that national commitments to CCA for public health have increased markedly since prior assessments but significant shortcomings remain. The largest apparent barriers to progress in this domain were poor government coordination, lack of political will and inadequate adaptation finances.Originality/valueThis study is unique in relation to the prior literature on the topic in that it effectively captures an array of country-specific yet cross-cutting adaptation constraints across diverse national contexts. With a deepened understanding of the major determinants of national adaptive capacity, international actors can devise more effective, evidence-informed strategies to support national governments in responding to the health impacts of climate change.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
David Oliver Kasdan

PurposeThis study explores the relationships between governance quality and disaster risk in respect to the pillar values of public administration. The objective is to strengthen the focus and resolve of bureaucratic institutions to engage with disaster risk management (DRM) as a core function.Design/methodology/approachMultiple correlation analysis is conducted using data from global indices of disaster risk and governance quality. This is situated in the argument for the importance of public administration to conduct DRM under the auspices of core values for governance.FindingsThere are strong relationships between measures of disaster risk and various qualities of governance that adhere to the administrative theories of public welfare management, particularly through measures for mitigation and preparedness.Research limitations/implicationsThis study is conducted at the national level and may obscure regional effects of governance quality and disaster risk that occur in larger and environmentally diverse countries.Originality/valueThere are few studies that champion the value of public administration's qualities and values in the efforts of DRM. This research provides support for such a position by connecting governance quality to disaster risk and overlaying the influence of the core administrative values of efficiency, effectiveness, the economy and equity.


2020 ◽  
Vol 51 ◽  
pp. 101805 ◽  
Author(s):  
Ashfaq Ahmad Shah ◽  
Zaiwu Gong ◽  
Indrajit Pal ◽  
Ruiling Sun ◽  
Wahid Ullah ◽  
...  

2012 ◽  
Vol 6 (4) ◽  
pp. 415-423
Author(s):  
Mollie J. Mahany ◽  
Mark E. Keim

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)


2021 ◽  
pp. 187-192

INTRODUCTION: Natural disasters disrupt people's lives, bringing about serious economic and social losses. Disaster risk management is a set of measures, including planning, decision-making, accountability, and operational activities at all levels. Moreover, it is of considerable significance to take advantage of social capacities and community participation before, during, and after disasters. The present study aimed to explain the prerequisites of community-based disaster risk management in Iran in 2020. METHODS: This data-driven qualitative study was conducted using Strauss and Corbin's systematic approach. The statistical population included all disaster management experts and non-governmental organizations in universities, the National Disaster Management Organization, the provincial disaster management departments, and senior managers of the Red Crescent Society. Out of this population, 22 subjects were purposefully selected via snowball sampling taking into account the geographical, climatic, cultural, social, and religious diversity of different regions of the country. The data were collected via semi-structured interviews and analysed using open coding, axial coding, and selective coding. FINDINGS: Based on the obtained results, the prerequisites of community-based disaster risk management include: "legal obligation", "public sensitization", "strategic planning", "public participation", "social capacity building", " building cohesion and empathy ", "action (prevention, preparedness, needs assessment, planning, and response", "formation and development of expert teams", "logistics forecasting and equipment", "preparation", and attention to geographical conditions"." CONCLUSION: As evidenced by the obtained results, the required measures for the successful implementation of community-based disaster risk management can be assigned to two categories: The first one encompasses the measures that require structural changes and law reform and are taken at the national level and National Disaster Management Organization of the country. The second type of measure must be implemented at the local and operational management levels


2018 ◽  
Vol 11 ◽  
pp. 1-24 ◽  
Author(s):  
Pashupati Nepal ◽  
Narendra Raj Khanal ◽  
Bishnu Prasad Pangali Sharma

This paper is a review of policies for disaster risk management in Nepal and discusses the strengths, gaps and constraints of the same. Institutional and Legislative Systems (ILS) approach has been adopted focusing on three aspects: i) legal and regulatory frameworks, ii) policies and programs, and iii) organizational/institutional set-up. This paper concludes that newly endorsed Disaster Risk Reduction and Management Act (2017) can be a milestone in disaster management of Nepal not only because it has replaced about 40 years old Natural Calamity (Relief) Act, 1982 but also for the first time, it saw disaster risk management as an process focusing on different stages of disaster management cycles, preparedness, response and rehabilitation and mitigation. The provision of well-structured functional institutional set-up from the centre to local level can have positive outcome in disaster management. However, it overlooks significant aspect, such as the declaration of disaster-prone zones limiting the right of provincial disaster management committee only for recommendation to the Government of Nepal. Most of policies, strategies and legislations focused on some specific disasters such as flood, landslide, earthquake and GLOF/avalanches at national level paying less emphasis to the local level. Even now, most of the policy interventions towards different cycles of disaster risk management have laid emphasis on preparedness and response rather than to rehabilitation and mitigation. The conflicting provisions in Acts such as Water Resource Act (1992) and Building Act (1998) with Local Government Operation Act (2017) have made overlapping of their roles and responsibilities. So, the policy formulation and institutional set-up needs to be complemented by the ability and competence to operationalize the intent of the relevant acts and policies at all levels of government.The Geographical Journal of NepalVol. 11: 1-24, 2018 


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