Análise Do Padrão Espacial Da Mortalidade Infantil Utilizando Geoestatística

Scalon, João Domingos; Jardim, Simone Soares Lima; Santos, Gérson Rodrigues dos; Nogueira, Denismar Alves

doi:10.18066/revunivap.v18i32.91

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2020

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“…Estudos sobre a mortalidade infantil têm sido descritos por diversas técnicas: regressão sequencial de Poisson (HERNANDEZ et al, 2011), teste qui-quadrado de associação (BRUM et al,2014), curva ROC (Receiver Operator Characteristic) (LOOSE et al, 2014), estatística espacial (SHIMAKURA et al, 2001;SCALON et al, 2012) e regressão logística multivariada (GEIB et al, 2010;NASCIMENTO et al, 2012;SANTOS et al, 2012).…”

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Estudo comparativo da mortalidade infantil no estado do Rio Grande do Sul e suas mesorregiões

Silva

Mateus²,

Silva³

2020

CeN

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The number of child deaths has been decreasing over the years, in the world, in Brazil and in Rio Grande do Sul. The intuition of this article is to identify the scenario of infant mortality in Rio Grande do Sul, verifying if it is reflected in its mesoregions. For this, descriptive statistics, correlation with Spearmam test and principal components techniques were performed. The results obtained in the descriptive analysis revealed that in general Rio Grande do Sul and its mesoregions behave the same way, the correlations were high among the variables, except with the variable, proportion of women who attended less than 7 prenatal consultations. Principal component analysis also showed that the mesoregion and state variables are explained by two components. Thus, it is concluded that in fact the scenario of infant mortality is reflected in its mesoregions.

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