Analyzing Social Vulnerability to Natural Disasters in Northeast Brazil: Catastrophic Flooding Cycles at Alagoas Littoral Zone

2019 ◽  
pp. 213-227
Author(s):  
Neison Cabral Ferreira Freire ◽  
Claudia Eleonor Natenzon
Keyword(s):  
Natural Disasters ◽  
Social Vulnerability ◽  
Littoral Zone ◽  
Northeast Brazil

scholarly journals The influence of local development on the impact of natural disasters in Northeast Brazil: The case of droughts and floods in the state of Ceará

2020 ◽  
Vol 99 (4) ◽  
pp. 1019-1043
Author(s):  
Victor Hugo De Oliveira ◽  
João Mário Santos de França ◽  
Francisco Mário Viana Martins
Keyword(s):  
Natural Disasters ◽  
Local Development ◽  
The State ◽  
Northeast Brazil ◽  
Droughts And Floods ◽  
The Impact

scholarly journals Social Vulnerability, Gender and Disasters. The Case of Haiti in 2010

2020 ◽  
Vol 12 (9) ◽  
pp. 3574 ◽  
Author(s):  
Mar Llorente-Marrón ◽  
Montserrat Díaz-Fernández ◽  
Paz Méndez-Rodríguez ◽  
Rosario González Arias
Keyword(s):  
Natural Disasters ◽  
International Development ◽  
Social Vulnerability ◽  
Negative Impact ◽  
Research Work ◽  
The United States ◽  
Negative Effects ◽  
Unequal Distribution ◽  
And Gender ◽  
The Impact

The study of vulnerability constitutes a central axis in research work on sustainability. Social vulnerability (SV) analyzes differences in human capacity to prepare, respond and recover from the impact of a natural hazard. Although disasters threaten all the people who suffer from them, they do not affect all members of society in the same way. Social and economic inequalities make certain groups more vulnerable. Factors such as age, sex, social class and ethnic identity increase vulnerability to a natural disaster. Ten years after the earthquake in Haiti in 2010, this work deepens the relationship between natural disasters, SV and gender, exploring the unequal distribution of the SV in the face of a seismic risk. The source of statistical information has been obtained from the Demographic and Health Survey (DHS), developed by the United States Agency for International Development (USAID). Multicriteria decision techniques (TOPSIS) and the differences in differences (DID) technique are used to analyze variations in gender inequality in SV as a result of the catastrophic event. The results obtained reinforce the idea of the negative impact of the disaster on the SV. Additionally, an intensification of the negative effects is observed when the household is headed by a woman, increasing the gap in SV between households headed by women and the rest of the households. The conclusions obtained show additional evidence of the negative effects caused by natural disasters on women, and important implications for disaster risk management are derived that should not be ignored.

scholarly journals Spatiotemporal clustering, social vulnerability and risk of congenital syphilis in northeast Brazil: an ecological study

2020 ◽  
Vol 114 (9) ◽  
pp. 657-665
Author(s):  
Carlos D F de Souza ◽  
Michael F Machado ◽  
Divanise S Correia ◽  
Rodrigo F do Carmo ◽  
Luis E Cuevas ◽  
...  
Keyword(s):  
Social Vulnerability ◽  
Ecological Study ◽  
Congenital Syphilis ◽  
Statistical Tests ◽  
Northeast Brazil ◽  
Spatial Clusters ◽  
Annual Increase ◽  
Statistical Correlations ◽  
Control Programmes ◽  
Spatiotemporal Clustering

Abstract Background To investigate the spatial distribution of congenital syphilis (CS) and its association to social vulnerability indexes in northeast Brazil. Methods This was an ecological study referring to all cases of CS and CS deaths recorded in the northeast region of Brazil from 2008 to 2015. Data were obtained from three Brazilian information systems. We examined statistical correlations between CS indicators by state and municipality and their socioeconomic and social vulnerability characteristics. We used Bayesian empirical local models to identify fluctuations of the indicators. Spatial statistical tests were used to identify spatial clusters and the municipalities at high risk of CS. Results The incidence of CS ranged from 2.1 cases/1000 live births (LB) in 2008 to 6.9/1000 LB in 2015, with an annual increase of 19.9% (p < 0.001). The mortality coefficient of CS ranged from 2.9/1000 LB in 2008 to 6.5/1000 LB in 2015, resulting in an annual increase of 15.1% (p < 0.001). Nine spatial clusters were identified. Cases of congenital syphilis occurred in well-defined spatiotemporal clusters and in areas with high levels of social vulnerability. Conclusions CS incidence is associated with social vulnerability. CS control programmes should target spatial clusters and populations with high levels of social vulnerability.

Assessment of provincial social vulnerability to natural disasters in China

2013 ◽  
Vol 71 (3) ◽  
pp. 2165-2186 ◽  
Author(s):  
Yang Zhou ◽  
Ning Li ◽  
Wenxiang Wu ◽  
Jidong Wu
Keyword(s):  
Natural Disasters ◽  
Social Vulnerability

scholarly journals Sense of community and psychological well-being in populations in situations of social vulnerability due to natural disasters

2021 ◽  
Vol 17 (1) ◽  
pp. 216-240
Author(s):  
Dino Isaac Estrada-Flores ◽  
Maria Inés Chumpitaz-Peralta ◽  
Brigitte Milena Cossio-Castillo ◽  
Michel Yordan Machacuay De la Cruz ◽  
Susana Isabel Ore-Flores
Keyword(s):  
Natural Disasters ◽  
Sense Of Community ◽  
Social Vulnerability ◽  
Well Being ◽  
Psychological Well Being

Examining the Potential Impacts of Social Vulnerability on Damage Levels in Areas Affected by Hurricane Harvey

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hui-Peng Liew ◽  
Nathan Eidem
Keyword(s):  
Natural Disasters ◽  
Social Vulnerability ◽  
Disaster Response ◽  
Population Aging ◽  
Empirical Work ◽  
Minority Population ◽  
Toxic Substances ◽  
Spatial Error ◽  
Damage Level ◽  
Inundation Depth

Abstract To our knowledge, this is one of the pioneering studies that examined the associations between changes in different dimensions of social vulnerability from 2000 to 2016 on damage levels resulting from Hurricane Harvey. The empirical work was based on data obtained from the FEMA Modeled Building Damage Assessments Harvey 20170829 and the Agency for Toxic Substances and Disease Registry (ATSDR)’s Geospatial Research, Analysis & Services Program (GRASP). Results from linear mixed effects modeling and the spatial error and CAR models suggested that damage level was determined by certain aspects of social vulnerability; the level of damage increased with inundation depth, population aging, and the proportion of minority population. Efforts to promote resilience in natural disasters should focus on individuals living in areas characterized by increases in population aging and minority population. Results also revealed that certain processes associated with economic growth and urban development might affect an area’s resilience and susceptibility to natural disasters and the processes associated with disaster response and mitigation.

Social vulnerability: An emergency managers’ planning tool

2012 ◽  
Vol 10 (3) ◽  
pp. 161 ◽  
Author(s):  
Garrett Dolan, PhD ◽  
Dmitry Messen, PhD
Keyword(s):  
Emergency Management ◽  
Natural Disasters ◽  
Social Vulnerability ◽  
Natural Hazard ◽  
The United States ◽  
Planning Tool ◽  
Hazard Management ◽  
Emergency Managers ◽  
Hurricane Storm Surge ◽  
Insight Into

The frequency of natural disasters in the United States is increasing.1 Since 1953, there has been an average of 35 Federal Emergency Management Agency declared disasters per year.2 However, more concerning is that the number of declarations has more than doubled over the last 5 years for an average of 73 per year. Although it is true that natural disasters affect everyone regardless of their respective health and/or wealth, it is also true that not everyone will experience the event in the same way. Those who can adapt to changing situations are more likely to overcome adversity. This article explains social vulnerability as an emerging concept in natural hazard management and demonstrates its utility as a tool for planning and preparing for emergencies within the Houston-Galveston hurricane storm surge evacuation zones. Practitioners will gain insight into the characteristics that make individuals vulnerable while providing a basis for determining how to plan for their needs.

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