Sentence examples for disaster factors from inspiring English sources
The weight estimation and classification of disaster factors are based on the K-means model to build the hillslope prediction model.
By integrating WSN and Analytic Network Process (ANP), this study evaluates the weight of disaster factors that adopt the consistency index of pair comparisons on hillslopes.
This study assessed if pre disaster, with-in disaster and post disaster factors predicted Post Traumatic Stress Disorder PTSDdifferentlytly, among men and women survivors of the 2004 Southeast Asian tsunami in Kanyakumari district, Tamil Nadu, India.
In contrast to our expectations, our findings, based on the pooled R squares, indicate that a sum score of disaster experiences did not improve the prediction of mental health problems compared to single disaster factors: they were almost equal.
Because the individual disaster factors were not independently associated with symptoms of distress and PTSD at wave 3, we have chosen not to present the results for the relation between the individual disaster-related factors and symptoms of PTSD at wave 4.
Nevertheless, the poverty of reservoir immigrants is usually interwoven with eco-environmental and geo-disaster factors, making poverty alleviation the most challenging task in rural China.
Moreover, a wide range of disorders were examined by a psychometrically robust screening tool, and some pre-disaster factors were taken into account beyond trauma exposure.
The ability to cope is related to a range of pre-disaster, within-disaster, and post-disaster risk factors.
Drawing on previous research and literature, Khunwishit (2013) categorized disaster resilience factors into six groups: psychological, infrastructural, socioeconomic, social-capability and social capital, managerial and organizational, and cultural factors.
Most studies on disasters only start to measure disaster-related factors several months to several years post-disaster [ 1].
Our study contributes to the growing literature that attempts to identify the causal social and physical disaster vulnerability factors by collecting and analyzing data from a small island developing state in the Pacific through a novel vulnerability framework.
