2010–2011 <scp>Q</scp>ueensland floods: Using <scp>H</scp>addon's <scp>M</scp>atrix to define and categorise public safety strategies

Zhong, Shengliang; Clark, Michele; Hou, Xiang-Yu; Zang, Yuli; FitzGerald, Gerry

doi:10.1111/1742-6723.12097

Cited by 26 publications

(33 citation statements)

References 20 publications

(53 reference statements)

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“…According to the Australian Bureau of Transport Economics, flood has been the most costly disaster type in Australia, followed by severe storms and cyclones [51]. However, data on human health impacts of floods can be difficult to source, although a study has shown that heavy rainfall and consequent extensive flooding in Queensland in 2010–2011 attributed to 33 deaths [52]. The Insurance Council of Australia provides cost estimates of natural disasters such as death and injuries by hazard type [51], and these could be a potential source of data on injuries and mortality from extreme weather events.…”

Section: Discussionmentioning

confidence: 99%

Developing Health-Related Indicators of Climate Change: Australian Stakeholder Perspectives

Navi

Hansen

Nitschke³

et al. 2017

IJERPH

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Climate-related health indicators are potentially useful for tracking and predicting the adverse public health effects of climate change, identifying vulnerable populations, and monitoring interventions. However, there is a need to understand stakeholders’ perspectives on the identification, development, and utility of such indicators. A qualitative approach was used, comprising semi-structured interviews with key informants and service providers from government and non-government stakeholder organizations in South Australia. Stakeholders saw a need for indicators that could enable the monitoring of health impacts and time trends, vulnerability to climate change, and those which could also be used as communication tools. Four key criteria for utility were identified, namely robust and credible indicators, specificity, data availability, and being able to be spatially represented. The variability of risk factors in different regions, lack of resources, and data and methodological issues were identified as the main barriers to indicator development. This study demonstrates a high level of stakeholder awareness of the health impacts of climate change, and the need for indicators that can inform policy makers regarding interventions.

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Section: Discussionmentioning

confidence: 99%

Developing Health-Related Indicators of Climate Change: Australian Stakeholder Perspectives

Navi

Hansen

Nitschke³

et al. 2017

IJERPH

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“…Therefore, we propose to explore the suitability of publicly available census data to be considered as proxies for behavioral response in flash flood circumstances. In general, findings from flash flood or flood human‐impact studies were cross‐checked with arguments from the literature on social vulnerability to flooding and natural hazards in general . The indicators quantifying vulnerability and the prominent human risk during flash floods are considered according to the following criteria: The temporal phase of the event: Some indicators can be indicative of vulnerability in the preparation or the recovery but not in the emergency phase of the hazard .…”

Section: Data Sets and Methodsmentioning

confidence: 99%

“…The indicators quantifying vulnerability and the prominent human risk during flash floods are considered according to the following criteria: The temporal phase of the event: Some indicators can be indicative of vulnerability in the preparation or the recovery but not in the emergency phase of the hazard . For example, flood insurance cannot directly reduce vulnerability during flooding but may facilitate the recovery process after a flood disaster . As another example, gender is used as a proxy with different meanings depending on the stage of a disaster.…”

Section: Data Sets and Methodsmentioning

confidence: 99%

Toward Probabilistic Prediction of Flash Flood Human Impacts

et al. 2017

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This article focuses on conceptual and methodological developments allowing the integration of physical and social dynamics leading to model forecasts of circumstance-specific human losses during a flash flood. To reach this objective, a random forest classifier is applied to assess the likelihood of fatality occurrence for a given circumstance as a function of representative indicators. Here, vehicle-related circumstance is chosen as the literature indicates that most fatalities from flash flooding fall in this category. A database of flash flood events, with and without human losses from 2001 to 2011 in the United States, is supplemented with other variables describing the storm event, the spatial distribution of the sensitive characteristics of the exposed population, and built environment at the county level. The catastrophic flash floods of May 2015 in the states of Texas and Oklahoma are used as a case study to map the dynamics of the estimated probabilistic human risk on a daily scale. The results indicate the importance of time- and space-dependent human vulnerability and risk assessment for short-fuse flood events. The need for more systematic human impact data collection is also highlighted to advance impact-based predictive models for flash flood casualties using machine-learning approaches in the future.

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“…The immediate health impacts described in the literature were predominantly non-communicable and included deaths, 3 injuries [3][4][5][6][7][8] and physiological distress; 3,5 infectious diseases 3,5,9 were also a potential risk. Injuries requiring medical attention can occur shortly before a flood (e.g., during evacuation), and during and after the event (e.g., drowning, 3,10 musculoskeletal stress, 7 punctures and lacerations, 4,8 electrocution 3 and carbon monoxide poisoning 6,7 ).…”

mentioning

confidence: 99%

Public health surveillance response following the southern Alberta floods, 2013

Sahni

Scott

Beliveau

et al. 2016

Can J Public Health

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OBJECTIVE: In June of 2013, southern Alberta underwent flooding that affected approximately 100,000 people. We describe the process put in place for public health surveillance and assessment of the impacts on health.METHODS: Public health surveillance was implemented for the six-week period after the flood to detect anticipated health events, including injuries, mental health problems and infectious diseases. Data sources were emergency departments (EDs) for presenting complaints, public health data on the post-exposure administration of tetanus vaccine/immunoglobulin, administrative data on prescription drugs, and reportable diseases.RESULTS: An increase in injuries was detected through ED visits among Calgary residents (rate ratio [RR] 1.28, 95% confidence interval [CI]: 1.14-1.43) and was supported by a 75% increase in the average weekly administration of post-exposure prophylaxis against tetanus. Mental health impacts in High River residents were observed among females through a 1.64-fold (95% CI: 1.11-2.43) and 2.32-fold (95% CI: 1.45-3.70) increase in new prescriptions for anti-anxiety medication and sleep aids respectively. An increase in sexual assaults presenting to EDs (RR 3.18, 95% CI: 1.29-7.84) was observed among Calgary residents. No increases in infectious gastrointestinal disease or respiratory illness were identified. Timely identification and communication of surveillance alerts allowed for messaging around the use of personal protective equipment and precautions for personal safety.CONCLUSION: Existing data sources were used for surveillance following an emergency situation. The information produced, though limited, was sufficiently timely to inform public health decision-making.KEY WORDS: Floods; population surveillance; epidemiology La traduction du résumé se trouve à la fin de l'article.

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2010–2011 Queensland floods: Using Haddon's Matrix to define and categorise public safety strategies

Abstract: The present study and its integration of research findings and conceptual frameworks might assist governments and communities to develop policies and strategies to prevent flood injury and fatalities.

Cited by 26 publications

References 20 publications

Developing Health-Related Indicators of Climate Change: Australian Stakeholder Perspectives

Developing Health-Related Indicators of Climate Change: Australian Stakeholder Perspectives

Toward Probabilistic Prediction of Flash Flood Human Impacts

Public health surveillance response following the southern Alberta floods, 2013

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