scholarly journals Integrating animal disease epidemics into disaster risk management

2016 ◽  
Vol 25 (4) ◽  
pp. 506-519 ◽  
Author(s):  
Cheney Shreve ◽  
Belinda Davis ◽  
Maureen Fordham
Keyword(s):  
Public Health ◽  
Risk Management ◽  
One Health ◽  
Disaster Risk ◽  
Community Level ◽  
Animal Disease ◽  
Content Type ◽  
Disease Epidemics ◽  
Epidemic Risk

Purpose – Holistic approaches to public health such as “One Health” emphasize the interconnectedness between people, animals, ecosystems, and epidemic risk, and many advocate for this philosophy to be adopted within disaster risk management (DRM). Historically, animal and human diseases have been managed separately from each other, and apart from other hazards considered for DRM. Shifts in DRM, however, may complement a One Health approach. The taxonomy of hazards considered under DRM has expanded to include medical and social crises such as epizootics and terrorism. However, there is a gap in understanding how epidemic risk is integrated into DRM at the community-level. The paper aims to discuss these issues. Design/methodology/approach – TACTIC adopts a participatory case study approach examining preparedness for multiple hazard types (floods, epidemics, earthquakes, and terrorism) at the community-level. This paper reports on findings from the epidemic case study which took as its focus the 2001 foot-and-mouth disease epidemic in the UK because of the diverse human, social, and environmental impacts of this “animal” disease. Findings – Epizootic preparedness tends to focus on biosecurity and phytosanitary measures, and is geared towards agriculture and farming. Greater engagement with public health and behavioural sciences to manage public health impacts of animal disease epidemics, and activities for citizen engagement to improve preparedness are discussed. The impermeability of boundaries (hazard, institutional, disciplinary, etc.) is a key constraint to integrating One Health into DRM. Originality/value – This work helps to situate the One Health discussion within the community-level DRM context.

scholarly journals Monitoring and evaluating disaster risk management capacity

2016 ◽  
Vol 25 (3) ◽  
pp. 412-422 ◽  
Author(s):  
Zoe Scott ◽  
Kelly Wooster ◽  
Roger Few ◽  
Anne Thomson ◽  
Marcela Tarazona
Keyword(s):  
Risk Management ◽  
Design Methodology ◽  
Monitoring And Evaluation ◽  
Capacity Development ◽  
Disaster Risk ◽  
Capacity Strengthening ◽  
Content Type ◽  
Management Capacity ◽  
Poor Understanding

Purpose – The purpose of this paper is to focus on improving the monitoring and evaluation of DRM capacity development initiatives. Design/methodology/approach – The paper first explores the complexities and challenges presented in the literature, before using empirical data from a research project in six countries (Ethiopia, Pakistan, Myanmar, Philippines, Haiti and Mozambique) to discuss current approaches to M & E of DRM capacity strengthening interventions. Findings – This is generally an area of technical weakness in the initiatives studied, with poor understanding of terminology, little attention to outcomes or impact and few independent evaluations. The need for greater inclusion of participants in M & E processes is identified and one programme from the fieldwork in Mozambique is presented as a case study example. Originality/value – The paper ends by presenting a unique M & E framework developed for use by DRM programmes to track the outcomes of their interventions and ultimately raise standards in this area.

Learning lab on disaster risk management for sustainable development (DRM-SD)

2017 ◽  
Vol 9 (5) ◽  
pp. 600-625 ◽  
Author(s):  
Ahmad Firdaus Ahmad Shabudin ◽  
Sharifah Nurlaili Farhana Syed Azhar ◽  
Theam Foo Ng
Keyword(s):  
Sustainable Development ◽  
Risk Management ◽  
Lao Pdr ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Content Type ◽  
Analytical Skills ◽  
Planning Framework

Purpose A series of “learning lab” projects on disaster risk management for sustainable development (DRM-SD) have been accomplished from 2014 to 2016 in Malaysia, Vietnam, Lao PDR and Cambodia by the Centre for Global Sustainability Studies. The project is designed for professionals from the disaster risk management field to encourage integration of sustainable development (SD) concerns into the larger planning framework for DRM. As a case study for capacity building (CB) evaluation, the central purpose of this study is to explore the approaches, feedbacks and implications of the DRM-SD CB project that have been developed and carried out. Design/methodology/approach Three methods have been used which are participation observations, surveys and document analysis. The results show that the project had successfully applied seven different tools to enhance analytical skills and professional knowledge of development practitioners in specific areas of DRM-SD. Findings Based on the survey, the project received positive response and valuable information from participants for future project development. Regarding the perspective of outcomes, the result indicates that south–south, ASEAN regional and triangular cooperation and role of higher education in DRM-SD are significant impacts from this project which can bring several benefits and should be promoted as an approach for the DRM-CB project as a whole. Originality/value It is hoped that this study will serve as a transfer learning initiative to provide approach guidelines and innovative mechanisms for DRM practitioners who will have the know-how and potential for leadership in DRM-SD.

scholarly journals The Point Bonitation Method and Its Adaptation in Risk Studies: A Case Study in Sri Lanka’s Cities in the Coastal Zone

2021 ◽  
Vol 18 (4) ◽  
pp. 2060
Author(s):  
Dorota Rucińska ◽  
Martyna Zagrzejewska
Keyword(s):  
Risk Management ◽  
High Risk ◽  
Sri Lanka ◽  
Natural Disasters ◽  
Economic Geography ◽  
Disaster Risk ◽  
Specific Result ◽  
Weighting Method ◽  
Tsunami Risk

Article proposes using weighting method named the Point Bonitation Method, a popular interdisciplinary method, especially in the tourism and socio-economic geography, for giving optional direction to further researching tsunami risk. This method qualifies and quantifies those factors that lead to natural disasters so that it is possible to make comparisons with their roles in disaster areas. This case study in Sri Lanka shows a specific result that is quantification of vulnerability by regions and can be used and developed locally for disaster risk management and reduction. This paper presents discussion about other possible reasons of high risk in regions.

scholarly journals Who could be One Health Activist at the community level?: A case for India

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Sandul Yasobant ◽  
Walter Bruchhausen ◽  
Deepak Saxena ◽  
Farjana Zakir Memon ◽  
Timo Falkenberg
Keyword(s):  
Health System ◽  
Work Experience ◽  
Financial Incentives ◽  
One Health ◽  
Health Workers ◽  
Structured Interview ◽  
Communicable Diseases ◽  
Community Level ◽  
System Level

Abstract Background Community health workers (CHWs) are the mainstay of the public health system, serving for decades in low-resource countries. Their multi-dimensional work in various health care services, including the prevention of communicable diseases and health promotion of non-communicable diseases, makes CHWs, the frontline workers in their respective communities in India. As India is heading towards the development of One Health (OH), this study attempted to provide an insight into potential OH activists (OHA) at the community level. Thus, this case study in one of India’s western cities, Ahmedabad, targeted identifying OHA by exploring the feasibility and the motivation of CHWs in a local setting. Methods This case study explores two major CHWs, i.e., female (Accredited Social Health Activists/ASHA) health workers (FHWs) and male (multipurpose) health workers (MHWs), on their experience and motivation for becoming an OHA. The data were collected between September 2018 and August 2019 through a mixed design, i.e., quantitative data (cross-sectional structured questionnaire) followed by qualitative data (focus group discussion with a semi-structured interview guide). Results The motivation of the CHWs for liaisoning as OHA was found to be low; however, the FHWs have a higher mean motivation score [40 (36–43)] as compared to MHWs [37 (35–40)] out of a maximum score of 92. Although most CHWs have received zoonoses training or contributed to zoonoses prevention campaigns, their awareness level was found to be different among male and female health workers. Comparing the female and male health workers to act as OHA, higher motivational score, multidisciplinary collaborative work experience, and way for incentive generation documented among the female health workers. Conclusion ASHAs were willing to accept the additional new liaison role of OHAs if measures like financial incentives and improved recognition are provided. Although this study documented various systemic factors at the individual, community, and health system level, which might, directly and indirectly, impact the acceptance level to act as OHA, they need to be accounted for in the policy regime.

scholarly journals Do entrepreneurial knowledge and innovative attitude overcome “imperfections” in the innovation process? Insights from SMEs in the UK and Italy

2018 ◽  
Vol 22 (8) ◽  
pp. 1637-1654 ◽  
Author(s):  
Antonio Usai ◽  
Veronica Scuotto ◽  
Alan Murray ◽  
Fabio Fiano ◽  
Luca Dezi
Keyword(s):  
Risk Management ◽  
Knowledge Management ◽  
Asymmetric Information ◽  
Innovation Process ◽  
Comparative Case Study ◽  
Management Process ◽  
Content Type ◽  
Entrepreneurial Knowledge ◽  
The Uk

PurposeEntrepreneurial knowledge spurs innovation and, in turn, generates a competitive advantage. This paper aims to explore if entrepreneurial knowledge combined with the attitude to innovate can overcome the key “imperfections” of the innovation process generated by dynamic, current technological progress in the knowledge-intensive sector. The “imperfections” identified in risk management, asymmetric information in the knowledge management process and hold-up problems can all disrupt collaborative partnerships and limit opportunities for innovation.Design/methodology/approachA theory-building approach is applied which offers a case study analysis of two small- to medium-sized enterprises (SMEs). These two SMEs operate in Europe but in two different territories: the UK and Italy. The study explores three key imperfections, risk management, asymmetric information in the knowledge management process and hold-up problems, which occur in the innovation process.FindingsThe entrepreneurs face these imperfections by adopting an open innovation model. Notwithstanding, both entrepreneurs had to deal with all “imperfections”, and their skills, attributes, attitude and aptitude allowed them to grow their business and continually develop new products. Therefore, the imperfections do not limit the innovative capacity of an entrepreneur but rather enhance their challengeable attitude. In this regard, the case studies induce a further analysis on entrepreneurial knowledge intertwined with entrepreneurial risk management and networking skills.Research limitations/implicationsThe empirical significance of the two cases does not allow theorisation. However, this research offers interesting results which can be strengthened by a comparative case study with other countries or deeper investigation by applying a quantitative approach.Originality/valueBy leveraging entrepreneurial knowledge, the imperfections noted in the innovation process can be overcome. Entrepreneurial knowledge is recognised as the main asset of an enterprise if it is combined with external talent or human resources. Entrepreneurs aim to develop innovative approaches and ideas through establishing both formal and informal collaborative partnership relationships which are used thanks to the entrepreneurs’ networking skills, knowledge and abilities.

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.

scholarly journals Stop going around in circles: towards a reconceptualisation of disaster risk management phases

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lee Bosher ◽  
Ksenia Chmutina ◽  
Dewald van Niekerk
Keyword(s):  
Risk Management ◽  
Design Methodology ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Review Of The Literature ◽  
Content Type ◽  
End Point ◽  
Management Concept ◽  
Conceptual Paper ◽  
Disaster Event

PurposeThe way that disasters are managed, or indeed mis-managed, is often represented diagrammatically as a “disaster cycle”. The cyclical aspects of the disaster (risk) management concept, comprised of numerous operational phases, have, in recent years, been criticised for conceptualising and representing disasters in an overly simplistic way that typically starts with a disaster “event” – and subsequently leads onto yet another disaster. Such cyclical thinking has been proven to not be very useful for the complexities associated with understanding disasters and their risks. This paper aims to present an alternative conceptualisation of the Disaster Risk Management phases, in a way that can better factor in the underlying root causes that create differential levels of vulnerability.Design/methodology/approachThis is a conceptual paper developed, through a review of the literature and discussions between the authors, as a counterpoint to the pervasive “disaster cycle”.FindingsThe “Disaster Risk Management (DRM) Helix” is presented as an alternative way of conceptualising the DRM phases. The helictical conceptualisation of DRM phases presented in this paper is intentionally presented to start a discussion (rather than as an end point) on how best to move away from the constraints of the “disaster cycle”.Originality/valueIt is envisaged that the helictical conceptualisation of DRM can be suitably malleable to include important factors such as temporal considerations and the underlying root causes that create differential levels of vulnerability. It is, thus, the intention that the DRM Helix can provide a catalyst for exciting discussions and future adaptations of the diagram that can better capture the dynamic (non-cyclical) nature of disasters and their root causes.

Institutional logics and risk management practices in government entities: evidence from Saudi Arabia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Peter Murr ◽  
Nieves Carrera
Keyword(s):  
Risk Management ◽  
Saudi Arabia ◽  
Management Practices ◽  
Single Case ◽  
Institutional Logics ◽  
Content Type ◽  
Traditional Logic ◽  
Adoption And Implementation ◽  
The Government

Purpose This study aims to understand how institutional logics influence the adoption and implementation of risk management (RM) practices by government entities in a non-western, developing country. Design/methodology/approach This study draws on the institutional logics perspective (ILP) to analyze a case study of a government entity in Saudi Arabia. Data were obtained from semi-structured interviews, observations and documentary evidence. Findings Findings suggest that the adoption and implementation of RM projects by Saudi governmental agencies was rooted in a traditional logic, even though the catalyst of the government for adopting a RM culture across government agencies was framed within a reform program inspired by a modernization logic. In the entity under investigation, the RM project led to an unstable situation where actors were confronted with these two competing logics. Although the project used manifestations of a modernization logic, the actions of individuals within the organization were embedded in a traditional logic. Research limitations/implications The study is based on a single case study in a specific country, limiting the generalizability of the findings. Originality/value This study provides novel evidence of the adoption and implementation of RM in governmental entities in a developing, non-western, country using ILP. Doing so enhances our knowledge about how managers struggle with competing institutional logics in an underexplored setting and enriches current accounts of key drivers and barriers of RM. It also addresses calls for a deeper understanding of the logics and managerial practices interplay in the public sector.

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