scholarly journals POVERTY INDICATORS IN DESERT GOVERNORATES (CASE STUDY IN NORTH SINAI AND MATRUH GOVERNORATES) مؤشرات الفقر بمحافظات الصحارى )دراسة حالة محافظتى شمال سیناء و مطروح )

2012 ◽  
Vol 3 (3) ◽  
pp. 379-387
Author(s):  
محمد سعید
2021 ◽  
Vol 10 (10) ◽  
pp. e161101018739
Author(s):  
Cristiane Mansur de Moraes Souza ◽  
Bruno Jandir Mello ◽  
Luciano Félix Florit ◽  
Ângela Maria Cavalcanti Ramalho ◽  
Yasmin Mansur de Moraes Souza ◽  
...  

There is a strong correlation between poverty indicators and the occurrence of diseases associated with environmental inequalities; therefore, it is highly necessary to explore the linkages between these inequalities and COVID- 19. This article describes a research designs made to study aspects of social environmental vulnerability that underlies the linkages between inequalities and COVID-19. This article aims to address this linkage. The objective is to explore aspects of social environmental vulnerability that underlies a case study at Blumenau, Brazil. The analysis is based on the critical question: Is there a relationship between social environmental vulnerability and COVID-19 at Blumenau? In Blumenau, where the study was carry out, the poor people are more likely to be affected from the risks arising out of the location of their homes, and this situation increases their vulnerability to floods, landslides, lack of water and exposure to open sewage. The methodology was divide into two steeps: (i) analysis of multi-temporal spread pattern of COVID-19 around the site; and (ii) analysis of the social environmental vulnerability and COVID-19 relationship. Results have shown that in Blumenau, there is a relationship between social environmental vulnerability and COVID-19. It can be said that COVID-19 emphases’ the social environmental situation in Blumenau. Based on our experience, we contend that an effective way to examine the linkages between inequalities and COVID-19 is to employ concepts and theories drawn from existing research to support guidelines, indicators and methods.


2020 ◽  
Vol 12 (19) ◽  
pp. 8204
Author(s):  
Ilaria Benedetti ◽  
Gianni Betti ◽  
Federico Crescenzi

Over the last few years, there has been increased interest in compiling poverty indicators for children, as well as in providing uncertainty measures that are associated with point estimates. In this paper, we provide point, variance, and interval confidence estimates of the at-risk-of-poverty rate indicator for 33 European countries. Using the 2018 EU-SILC survey, we analysed the spatial distribution of poverty by providing graphical representations at the national level. Our results reveal rates of child poverty that are higher than in the national estimates for most of the countries. By considering the computation of standard errors, we used the bootstrap method thanks to its convenient properties. It is worth noting that, for some countries, such as Finland, Belgium, and Ireland, the confidence intervals do not overlap. These results suggest differences among countries not only in terms of child poverty, but also in terms of social protection and the welfare state.


Sign in / Sign up

Export Citation Format

Share Document