Disaster Severity Analysis from Micro-Blog Texts Using Deep-NN

2020 ◽  
pp. 145-157
Author(s):  
Ramesh Wadawadagi ◽  
Veerappa Pagi
Keyword(s):  
Disaster Severity

The perfect storm: The impact of disaster severity on internal human trafficking

2018 ◽  
Vol 21 (4) ◽  
pp. 302-322 ◽  
Author(s):  
Anuj Gurung ◽  
Amanda D Clark
Keyword(s):  
Natural Disasters ◽  
Human Trafficking ◽  
Cross Section ◽  
Positive Association ◽  
Individual Vulnerability ◽  
Estimation Equations ◽  
Time Series Dataset ◽  
Disaster Severity ◽  
The Impact ◽  
Perfect Storm

In this paper, we argue natural disasters have a positive association with the likelihood of internal or domestic trafficking. Trafficking is a function of individual vulnerability and subsequent criminal agency. Economic scarcity and lack of government protection are conditions of vulnerability that are exploited by criminal agents and networks in recruiting and transporting victims. The advent of natural disasters exacerbates these conditions and provides an opportunity for criminals. We argue that internal trafficking is more likely in the wake of disasters as routes to transnational trafficking may be inaccessible. Employing generalized estimation equations on a unique cross-section, time-series dataset of 158 countries, between 2001 and 2011, we find a consistent positive link between natural disasters and the likelihood of internal trafficking. The internal trafficking angle is under-studied, and our findings point at the need for further exploration of the topic.

Abstract PO-182: Disaster severity experience and verbal abuse among gynecological cancer patients in Puerto Rico in the aftermath of Hurricanes Irma and María

2022 ◽  
Author(s):  
Lianeris Mariel Estremera-Rodriguez ◽  
Istoni da Luz-Sant'Ana ◽  
Liz Marie Martinez-Ocasio ◽  
Ana Patricia Ortiz-Martinez
Keyword(s):  
Puerto Rico ◽  
Cancer Patients ◽  
Gynecological Cancer ◽  
Verbal Abuse ◽  
Disaster Severity

scholarly journals The Feasibility of Applying the Disaster Severity Score: The Case of Spain

2016 ◽  
Vol 02 (02) ◽  
Author(s):  
Pedro Arcos Gonzalez ◽  
Rafael Castro Delgado ◽  
Roshan Mahabir ◽  
Elena Ferrero Fernandez
Keyword(s):  
Severity Score ◽  
Disaster Severity

The Yew Disaster Severity Index: A New Tool in Disaster Metrics

2019 ◽  
Vol 34 (1) ◽  
pp. 8-19 ◽  
Author(s):  
Ying Ying Yew ◽  
Rafael Castro Delgado ◽  
David James Heslop ◽  
Pedro Arcos González
Keyword(s):  
Natural Disasters ◽  
Holistic Approach ◽  
Severity Index ◽  
International Strategy ◽  
Publication Type ◽  
Richter Scale ◽  
Local Capacity ◽  
Disaster Severity ◽  
Definition Of ◽  
Non Parametric

AbstractObjectivesThe Richter Scale measures the magnitude of a seismic occurrence, but it does not feasibly quantify the magnitude of the “disaster” at the point of impact in real humanitarian needs, based on United Nations International Strategy for Disaster Reduction (UNISDR; Geneva, Switzerland) 2009 Disaster Terminology. A Disaster Severity Index (DSI) similar to the Richter Scale and the Mercalli Scale has been formulated; this will quantify needs, holistically and objectively, in the hands of any stakeholders and even across timelines.BackgroundAn agreed terminology in quantifying “disaster” matters; inconsistency in measuring it by stakeholders posed a challenge globally in formulating legislation and policies responding to it.MethodsA quantitative, mathematical calculation which uses the median score percentage of 100% as a baseline, indicating the ability to cope within the local capacity, was used. Seventeen indicators were selected based on the UNISDR 2009 disaster definition of vulnerability and exposure and holistic approach as a pre-condition. The severity of the disaster is defined as the level of unmet needs. Thirty natural disasters were tested, retrospectively, and non-parametric tests were used to test the correlation of the DSI score against the indicators.ResultsThe findings showed that 20 out of 30 natural disasters tested fulfilled the inability to cope, within local capacity in disaster terminology. Non-parametric tests showed that there was a correlation between the 30 DSI scored and the indicators.ConclusionBy computing a median fit percentage score of 100% as the ability to cope, and the correlation of the 17 indicators, in this DSI Scale, 20 natural disasters fitted into the disaster definition. This DSI will enable humanitarian stakeholders to measure and compare the severity of the disaster objectively, as well as enable future response to be based on needs.YewYY, Castro DelgadoR, HeslopDJ, Arcos GonzálezP. The Yew Disaster Severity Index: a new tool in disaster metrics. Prehosp Disaster Med. 2019;34(1):8–19.

scholarly journals The historic reality of the cyclonic variability in French Antilles, 1635–2007

2015 ◽  
Vol 11 (2) ◽  
pp. 1519-1550 ◽  
Author(s):  
E. Garnier ◽  
J. Desarthe ◽  
D. Moncoulon
Keyword(s):  
Climate Change ◽  
Natural Disasters ◽  
Historical Period ◽  
The Past ◽  
French Antilles ◽  
Evolution Analysis ◽  
Historical Archives ◽  
Disaster Severity ◽  
First Time

Abstract. Facing climate change and increasing costs of natural disasters, the exposure evolution analysis requires having a long-term knowledge of the impacts of extreme events. By associating historical and modeling approaches, we aim to build a long term chronology of natural disaster severity and damages. To highlight this new methodology, the overseas departments of French Antilles have been chosen. These territories are strongly exposed to natural disasters, particularly hurricanes. The search with historical archives made it possible to reconstruct, for the first time, the chronology and severity of hurricanes since the 17th century. During the 20th century, a significative increase in the number of cyclones has occurred after the 1950s. The analysis of a longer historical period (since the 1630s) allows us to temperate this idea by showing intensive cyclonic period in the past centuries.

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