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2008;34:399–410. A positive Moran’s I indicates the existence of clusters of similar values, while a negative Moran’s I indicates clusters of dissimilar values. These two kinds of deprivation are closely linked to public health and wellbeing [12]. Yager RR. Liu X, Shilian H. Orness and parameterized RIM quantifier aggregation with OWA operators: a summary. This area has a total of 4034 census blocks, and the census block is considered the smallest area from which census information could be extracted. ij Pampalon P, Pamel D, Gamache P, Raymond G. A deprivation index for health planning in Canada. We applied the tool to compute the OWA for the 4034 census blocks. There are 35 LSOAs that are among the 25% least deprived in England. This measure of social deprivation, in combination with … Los cálculos de Moran’s I demuestran que varios escenarios de privación, en combinación con el factor de ‘distancia a servicios de salud’, podrían ser variables explicativas del porcentaje de personas que nunca han tenido un nacido vivo. A scaling method for priorities in hierarchical structure. Clustering with high levels of significance indicate that explanatory variables are missing. (2): 73-90. 2003;35(10):1769–84. Department of Public Health, University of Otago, Wellington. Sistemas de Información geográfica y evaluación multicriterio en la ordenación del territorio. Jérôme Martinez - Robert Pampalon - Denis Hamel. 2007;6(17):1–19. A multi-criteria spatial deprivation index to support health inequality analyses. Int J Geogr Inf Sci. Another way to prevent getting this page in the future is to use Privacy Pass. 2001;53:795–9. of the pairwise comparison matrix and the values sum of each column of this matrix. Those living in the most deprived areas are 36% more likely to die prematurely (i.e. Your IP: 103.120.177.223 Moran’s I closer to 0 indicates weak autocorrelation [52]. Correspondence to In Frolich K, De Koninck M, Bernard P, Demers A (Éds.) 2007;84(4):591–603. Residents of the most deprived areas of Herefordshire are approximately a third more likely to die as a result of suicide than the county population in general. Article  -Site web de l’INSPQ. Deprivation indices are useful measures to analyze health inequalities. Niggebrugge A, Haynes R, Jones A, Lovett A, Harvey I. Our AHP-based deprivation index is a multidimensional index that considers a rights-based conceptual approach useful to representing deprivation in dimensions of education, health, employment and housing. Int J Intell Syst. J Urban Healt. The AIC is a relative measure of a statistical model quality that takes into account the statistical goodness of fit and the tradeoff of the parameters used in the model. While the tool is running, the linguistic quantifier selected is translated to a numeric parameter ∝ where the values assigned are: 0,001 for At least one, 0,1 for Few, 0,2 for Some, 1 for Half, 2 for Many, 10 for Most and 1000 for All [44]. The case study is Quito City, in Ecuador. 1, v The results of the pairwise comparison matrix are shown in Table 2, and the importance scores show that, according to the experts, the chosen indicators are of equal or very similar importance: for example, indicator B (% of people with no health insurance) is of the same importance as indicator A (% of people without any level of instruction), and indicator D (% of people that work with no payment) is of moderately greater importance than indicator C (% of people that are disabled for more than a year). λ Robert Pampalon - Denis Hamel - Philippe Gamache. A comparison with individual level data. The index of multiple deprivation 2000 access domain: a useful indicator for public health? J Geogr Inf Syst. Sizes of the census blocks differed all over the study area (sizes from around 3200 square meters to sizes of more than 400 000 square meters), therefore, centroids are a good representation of each census block location. 2004;33:732–41. and s Espérance de santé et défavorisation au Québec, 1996-1998 - Site web de l'INSPQ. The models mentioned, “AHP-based”, “Half”, “Some” and “Many”, are also models that represent similar proportions of the dependent variable variance: between 58% and 59%. Gao J, Li S. Detecting spatially non-stationary and scale-dependent relationships between urban landscape fragmentation and related factors using Geographically Weighted Regression. These results coincide with what was explained in the study area description and confirm the consistency (Consistency ratio CR: 0,0019) of the AHP weights derived from the experts’ judgments. The German Index of Socioeconomic Deprivation illustrates regional socioeconomic differences at different spatial levels and contributes to explaining regional health differences. i Comput Geosci. 2013;12(21):1–11. 1983;286:1705–9. Health deprivation and disability is one of the domains that makes up the Index of Multiple Deprivation 2019 (IMD 2019). This variable is obtained from women’s answers about how many live births they have had. You must have an account for this publisher on data.gov.uk to make any changes to a dataset. From a GIS-based perspective, therefore, using different Boolean operations such as union (OR) and intersection (AND), or weighted linear combination [43-46] will result in different spatial patterns. Recent changes in the geography of social disparities in premature mortality in Québec. This indicator can be calculated using information available in the 2010 Ecuadorian Population and Housing Census, and therefore could be considered a useful health-related indicator that can be analyzed together with deprivation indices to be obtained from future Census data. Denis Hamel - Robert Pampalon. 24 (2/3): 61-69. The methodology described in this study can be applied in other regions of the world to develop spatial deprivation indices based on Multi-Criteria analysis.

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