Spatial analysis of neonatal mortality in the state of São Paulo, 2006-2010

Abstract

The results presented in this study allow the implementation of policies by health managers, aiming to reduce neonatal mortality.

Ronda clínica y epidemiológica: sistemas de información geográfica (SIG) en salud

“…Otro ejemplo de este tipo es un estudio de Silva y colaboradores para identificar patrones espaciales de distribución de las tasas de mortalidad neonatal en 63 microrregiones del estado de São Paulo entre los años 2006 y 2010 (25). El software utilizado para el análisis espacial fue el TerraView versión 4.2.1 y se estimó la autocorrelación espacial de las tasas de mortalidad neonatal.…”

Clusters of preterm live births and respiratory distress syndrome-associated neonatal deaths: spatial distribution and cooccurrence patterns

“…In 2010, the average per capita income among São Paulo State municipalities varied almost 18 times and 16.5% of the population lived in a situation of high social vulnerability, with discrepancies in education, housing conditions, access to primary health care [ 16 , 17 ], and qualified perinatal care, which have important impact on neonatal mortality [ 18 ]. In 2006–2010, the neonatal mortality rate among São Paulo State municipalities varied between 6.9 and 16.9 per thousand live births [ 19 ], however, the study of cause specific neonatal deaths, particularly of RDS-associated neonatal deaths, is scarce for the state and its municipalities.…”

“…Considering RDS incidence and mortality among preterm infants [ 13 , 14 ], and the neonatal mortality variation across the state [ 19 ], it is possible that the distribution of RDS-associated neonatal deaths in preterm live births also varies among São Paulo State municipalities. Identification of these variations in RDS-associated neonatal mortality throughout the state may help to design public health policies for the prevention and management of the disease, contributing to decrease the burden of prematurity as a cause of neonatal deaths across the State.…”

Spatial distribution for diarrhea hospitalization in São Paulo State

“…6 Spatial analysis is a great importance for the public health since it helps in the diagnosis and the planning in the affected areas through the geographic characteristic of the disease. 6 This tool has been used in several types of studies in varied themes in the pediatric area, such as the spatial analysis of hospitalizations due to pneumonia and burns in Mato Grosso State, 7 in the distribution of newborns with low birth weight, 8 in neonatal mortality, 9 and other themes for the interest in public health, such as fatal victims in traffic accidents 10 and the identification of risky areas for schistosomiasis mansoni. 11 The objective of this study is to identify the spatial patterns of hospitalization due to diarrhea in children 0 to 4 years old in the counties in São Paulo State, between 2008 and 2012.…”