Spatial patterns of avoidable fetal mortality and social deprivation.

Objective: To develop a social need index for stratification of municipalities and identification of priority areas for reducing fetal mortality.

Methods: ecological study, carried out in the state of Pernambuco, between 2010 and 2017. The technique of factor analysis by main components was used for the elaboration of the social need index.

Profile of hospitalizations in Pediatric Intensive Care Units of the Brazilian Unified Health System in the state of Pernambuco, Brazil.

In Brazil, the distribution of pediatric intensive care units (PICUs), causes of admission, costs incurred and how care is provided are still poorly understood. The objective was to describe the profile of hospitalizations in the PICUs of the Brazilian Unified Health System in the state of Pernambuco, in 2010. A cross-sectional study was performed, with 1,915 hospitalizations in the six PICUs, collected in the Hospital Information System.

Spatial analysis of reported new cases and local risk of leprosy in hyper-endemic situation in Northeastern Brazil.

Objective: To analyse the spatial distribution of the incidence of leprosy and identify areas at risk for occurrences of hyper-endemic disease in Northeastern Brazil.

Methods: Ecological study using municipalities as the analysis unit. Data on new cases of leprosy came from the Health Hazard Notification System (SINAN).

[Spatial analysis of infant mortality and the adequacy of vital information: a proposal for defining priority areas].

This is an ecological study that sought to assess the relationship between the spatial clustering of infant mortality and the adequacy of vital information. The adequacy of information from the Brazilian Live Birth Database (SINASC) and Mortality Database (SIM) were examined using a validated method that uses five indicators calculated by municipality and population size. Municipalities were classified as either having consolidated data, data currently being consolidated, or not having consolidated data.

Using spatial analysis to identify areas vulnerable to infant mortality.

Objective: To analyze the spatial distribution of infant mortality and identify clusters with high risk of death in the first year of life.

Methods: The Thiessen (Voronoi) polygon method was used to analyze spatial distribution of the infant mortality rate, calculated by municipality. The triennium 2006 - 2008 was used as a reference to estimate the average infant mortality rate, and the first analysis of the spatial distribution of the rate was performed to test for first-order spatial stationarity.

Social deprivation index and lymphatic filariasis: a tool for mapping urban areas at risk in northeastern Brazil.

This paper describes the construction and application of a social deprivation index that was created to explore the relationship between lymphatic filariasis and socioenvironmental variables in the municipality of Jaboatão dos Guararapes, Pernambuco, Brazil, thereby contributing towards identifying priority areas for interventions. This indicator was obtained from principal-component factor analysis. Variables available from the national census representing socioenvironmental conditions, household characteristics and urban services were used.