| Literature DB >> 30764531 |
Joseph Cuthbertson1, Jose M Rodriguez-Llanes2, Andrew Robertson3, Frank Archer4.
Abstract
Identification and profiling of current and emerging disaster risks is essential to inform effective disaster risk management practice. Without clear evidence, readiness to accept future threats is low, resulting in decreased ability to detect and anticipate these new threats. A consequential decreased strategic planning for mitigation, adaptation or response results in a lowered resilience capacity. This study aimed to investigate threats to the health and well-being of societies associated with disaster impact in Oceania. The study used a mixed methods approach to profile current and emerging disaster risks in selected countries of Oceania, including small and larger islands. Quantitative analysis of the International Disaster Database (EM-DAT) provided historical background on disaster impact in Oceania from 2000 to 2018. The profile of recorded events was analyzed to describe the current burden of disasters in the Oceania region. A total of 30 key informant interviews with practitioners, policy managers or academics in disaster management in the Oceania region provided first-hand insights into their perceptions of current and emerging threats, and identified opportunities to enhance disaster risk management practice and resilience in Oceania. Qualitative methods were used to analyze these key informant interviews. Using thematic analysis, we identified emerging disaster risk evidence from the data and explored new pathways to support decision-making on resilience building and disaster management. We characterized perceptions of the nature and type of contemporary and emerging disaster risk with potential impacts in Oceania. The study findings captured not only traditional and contemporary risks, such as climate change, but also less obvious ones, such as plastic pollution, rising inequality, uncontrolled urbanization, and food and water insecurity, which were perceived as contributors to current and/or future crises, or as crises themselves. The findings provided insights into how to improve disaster management more effectively, mainly through bottom-up approaches and education to increase risk-ownership and community action, enhanced political will, good governance practices and support of a people-centric approach.Entities:
Keywords: Oceania; disaster risk; emerging risk; health threat; non-traditional; resilience
Mesh:
Year: 2019 PMID: 30764531 PMCID: PMC6388159 DOI: 10.3390/ijerph16030460
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Participant demographics.
| Characteristics | No. (%) |
|---|---|
|
| |
| Male | 14 (46%) |
| Female | 16 (53%) |
|
| |
| Australia | 18 (60%) |
| New Zealand | 2 (6%) |
| Indonesia | 2 (6%) |
| Timor Leste | 2 (6%) |
| Fiji | 2 (6%) |
| Tonga | 2 (6%) |
| Hawaii | 1 (3%) |
| Geneva | 1 (3%) |
|
| |
| Academic | 5 (16%) |
| Practitioner (emergency management or disaster healthcare) | 23 (76%) |
| Manager | 2 (6%) |
Natural disasters of study countries in Oceania 2000–2018 [8].
| Country/Natural Disaster | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Australia | 6 | 9 | 5 | 11 | 7 | 4 | 8 | 2 | 5 | 6 | 8 | 1 | 2 | 2 | 2 | 7 | 1 | 86 | ||
| Drought | 1 | 1 | 1 | 3 | ||||||||||||||||
| Epidemic | 1 | 1 | ||||||||||||||||||
| Extreme temperature | 1 | 1 | 2 | |||||||||||||||||
| Flood | 1 | 4 | 4 | 3 | 1 | 1 | 1 | 4 | 2 | 5 | 1 | 2 | 29 | |||||||
| Insect infestation | 1 | 1 | 2 | |||||||||||||||||
| Storm | 3 | 3 | 3 | 5 | 3 | 2 | 3 | 1 | 1 | 2 | 3 | 1 | 4 | 34 | ||||||
| Wildfire | 1 | 2 | 1 | 1 | 1 | 3 | 1 | 2 | 3 | 15 | ||||||||||
| Fiji | 1 | 1 | 1 | 2 | 1 | 2 | 4 | 1 | 2 | 1 | 3 | 1 | 20 | |||||||
| Drought | 1 | 1 | ||||||||||||||||||
| Flood | 1 | 1 | 1 | 1 | 2 | 1 | 2 | 9 | ||||||||||||
| Storm | 1 | 1 | 1 | 1 | 2 | 1 | 1 | 1 | 1 | 10 | ||||||||||
| New Zealand | 2 | 1 | 1 | 2 | 2 | 2 | 1 | 1 | 3 | 2 | 1 | 18 | ||||||||
| Drought | 1 | 1 | ||||||||||||||||||
| Earthquake | 1 | 1 | 2 | |||||||||||||||||
| Epidemic | 1 | 1 | ||||||||||||||||||
| Extreme temperature | 1 | 1 | ||||||||||||||||||
| Flood | 1 | 1 | 2 | 1 | 1 | 1 | 7 | |||||||||||||
| Storm | 1 | 1 | 1 | 1 | 1 | 1 | 6 | |||||||||||||
| Tonga | 1 | 1 | 1 | 1 | 1 | 3 | 8 | |||||||||||||
| Earthquake | 1 | 1 | ||||||||||||||||||
| Storm | 1 | 1 | 1 | 1 | 3 | 7 |
Technological disasters in study countries in Oceania 2000–2018 [8].
| Country/Natural Disaster | 2000 | 2003 | 2004 | 2005 | 2007 | 2009 | 2010 | 2011 | 2012 | 2013 | 2016 | Grand Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Australia | 2 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 10 | ||
| Air | 1 | 1 | ||||||||||
| Fire | 1 | 1 | 2 | |||||||||
| Rail | 1 | 1 | 2 | |||||||||
| Water | 1 | 1 | 1 | 1 | 1 | 5 | ||||||
| New Zealand | 1 | 2 | 1 | 1 | 5 | |||||||
| Air | 1 | 1 | ||||||||||
| Explosion | 1 | 1 | ||||||||||
| Other | 1 | 1 | ||||||||||
| Water | 1 | 1 | 2 | |||||||||
| Tonga | 1 | 1 | ||||||||||
| Water | 1 | 1 |