Social vulnerability to natural hazards in Wollongong: Comparing strength-based and traditional methods

© 2020 Australian Institute for Disaster Resilience. Social vulnerability is a widely recognised way of assessing the sensitivity of a population to natural hazards and its ability to respond to and recover from them. In the traditional approach to computing social vulnerability, the emphasis is mainly on the weaknesses only (e.g. old age, low income, language barriers). This study presents a strengthbased social vulnerability index that identifies the strengths that communities have that help minimise disaster risk exposure. The strength-based social vulnerability index method is compared with the traditional approach using various statistical procedures like the one-sample T-test and the Wilcoxon signed rank test. This is performed through a case study measuring the social vulnerability for the 108 suburbs of Wollongong in New South Wales. The results show there is a significant difference between the values obtained from measurements using the strength-based social vulnerability index technique and those generated by the traditional approach. The implications of the results for emergency and disaster management are broadly discussed

Phytochemical Analysis of Medicinal Plants Used for the Management of Hypertension by Esan people of Edo State, Nigeria

Hypertension is one of the principal health problems in the society and a leading cause of cardio-vascular deaths in various communities worldwide. Over 33 plants and their products have been reported in Nigeria and other West African countries to offer remedies for the management of hypertension. In Esanland of Edo State, Nigeria, 14 endemic plant species distributed in 12 taxonomic families have been identified by various traditional health practitioners as being effective and commonly used to manage hypertension (Psidium guajava, Piper guineense, Loranthus spectobulus, Talinum triangulare, Senna occidentalis, Rauwolfia vomitoria, Allium sativum, Allium cepa, Carica papaya, Euphorbia hirta, Ocimum gratissimum, Persea americana, Peperomia pellucida, and Vernonia amygdalina). Qualitative phytochemical analyses of the plant parts have revealed the presence of various components of medical importance including tannins, flavonoids, cardiac glycosides, alkaloids, saponin and inulins. Cardiac glycosides were present in all the species studied while alkaloids were present in all except A. sativum, A. cepa, O. gratissimum and P. americana. Saponnins were present in all except the seeds of negro coffee (S. accidentalis), while tannins were present in all except bulbs of garlic (A. sativum). This preliminary study draws attention to the need for further studies of the active principles identified in the reported species for the treatment of hypertension in Esanland in order to understand their mode of action in controlling hypertension

Towards using agent-based modelling for collaborative translation of crisis information: A systematic literature review to identify the underlying attributes, behaviours, interactions, and environment of agents

Collaboration in language translation has a long history and continues to develop in the form of crowdsourced and community translation. More recently, efforts in collaborative translation for crisis communication have been noted. These efforts are far from being mature in nature. We propose that Agent Based Modelling (ABM) for crisis translation could have significant benefits for the field of disaster response. A systematic literature review reveals how little consideration has been given to the topic to date. We review the limited literature from the perspective of agent\u27s attributes, behaviours, interactions, and their environmental and operational factors. These are useful as a list of observations to be considered in the future modelling of collaborative translation. The complexities of ABM for collaborative translation are also highlighted and we propose some theoretical underpinnings that could be used to further enhance ABM for collaborative crisis translation. Based on the new knowledge generated to support accurate modelling of collaborative translation, we conclude that ABM may offer an opportunity to verify if, and how, translation crowdsourcing can be best optimised to support multilingual communication across the different phases of a disaster or crisis lifecycle. ABM could offer opportunities to assess rules, attitudes, behaviours, and interactions of multiple actors, from professionals to bilingual volunteers in rare, non-commercial language combinations, with the view of identifying positive rewarding mechanisms, including both financial incentives and the opportunity to broaden one\u27s translation experience

Twitter data from the 2019–20 Australian bushfires reveals participatory and temporal variations in social media use for disaster recovery

Social media platforms have proved to be vital sources of information to support disaster response and recovery. A key issue, though, is that social media conversation about disasters tends to tail off after the immediate disaster response phase, potentially limiting the extent to which social media can be relied on to support recovery. This situation motivates the present study of social media usage patterns, including who contributes to social media around disaster recovery, which recovery activities they contribute to, and how well that participation is sustained over time. Utilising Twitter data from the 2019–20 Australian bushfires, we statistically examined the participation of different groups (citizens, emergency agencies, politicians and others) across categories of disaster recovery activity such as donations & financial support or mental health & emotional support, and observed variations over time. The results showed that user groups differed in how much they contributed on Twitter around different recovery activities, and their levels of participation varied with time. Recovery-related topics also varied significantly with time. These findings are valuable because they increase our understanding of which aspects of disaster recovery currently benefit most from social media and which are relatively neglected, indicating where to focus resources and recovery effort

Adopting incentive mechanisms for large-scale participation in mobile crowdsensing: from literature review to a conceptual framework

Mobile crowdsensing is a burgeoning concept that allows smart cities to leverage the sensing power and ubiquitous nature of mobile devices in order to capture and map phenomena of common interest. At the core of any successful mobile crowdsensing application is active user participation, without which the system is of no value in sensing the phenomenon of interest. A major challenge militating against widespread use and adoption of mobile crowdsensing applications is the issue of how to identify the most appropriate incentive mechanism for adequately and efficiently motivating participants. This paper reviews literature on incentive mechanisms for mobile crowdsensing and proposes the concept of SPECTRUM as a guide for inferring the most appropriate type of incentive suited to any given crowdsensing task. Furthermore, the paper highlights research challenges and areas where additional studies related to the different factors outlined in the concept of SPECTRUM are needed to improve citizen participation in mobile crowdsensing. It is envisaged that the broad range of factors covered in SPECTRUM will enable smart cities to efficiently engage citizens in large-scale crowdsensing initiatives. More importantly, the paper is expected to trigger empirical investigations into how various factors as outlined in SPECTRUM can influence the type of incentive mechanism that is considered most appropriate for any given mobile crowdsensing initiative

Obstructive Sleep Apnea and Longitudinal Alzheimer's disease biomarker changes

Study Objectives: To determine the effect of self-reported clinical diagnosis of obstructive sleep apnea (OSA) on longitudinal changes in brain amyloid PET and CSF biomarkers (A beta 42, T-tau, and P-tau) in cognitively normal (NL), mild cognitive impairment (MCI), and Alzheimer's disease (AD) elderly. Methods: Longitudinal study with mean follow-up time of 2.52 +/- 0.51 years. Data were obtained from the Alzheimer's Disease Neuroimaging Initiative (ADNI) database. Participants included 516 NL, 798 MCI, and 325 AD elderly. Main outcomes were annual rate of change in brain amyloid burden (i.e. longitudinal increases in florbetapir PET uptake or decreases in CSF A beta 42 levels); and tau protein aggregation (i.e. longitudinal increases in CSF total tau [T-tau] and phosphorylated tau [P-tau]). Adjusted multilevel mixed effects linear regression models with randomly varying intercepts and slopes was used to test whether the rate of biomarker change differed between participants with and without OSA. Results: In NL and MCI groups, OSA+ subjects experienced faster annual increase in florbetapir uptake (B =.06, 95% CI =.02,.11 and B =.08, 95% CI =.05, .12, respectively) and decrease in CSF A beta 42 levels (B = -2.71, 95% CI = -3.11, -2.35 and B = -2.62, 95% CI = -3.23, -2.03, respectively); as well as increases in CSF T-tau (B = 3.68, 95% CI = 3.31, 4.07 and B = 2.21, 95% CI = 1.58, 2.86, respectively) and P-tau (B = 1.221, 95% CI = 1.02, 1.42 and B = 1.74, 95% CI = 1.22, 2.27, respectively); compared with OSA- participants. No significant variations in the biomarker changes over time were seen in the AD group. Conclusions: In both NL and MCI, elderly, clinical interventions aimed to treat OSA are needed to test if OSA treatment may affect the progression of cognitive impairment due to AD