[Database linkage for surveillance of the influenza A(H1N1)pdm09 pandemic in Brazil, 2009-2010]

Social determinants of deaths from pneumonia and tuberculosis in children in Brazil: an ecological study

OBJECTIVE

To identify the risk areas of deaths due to unspecified pneumonia and tuberculosis (TB) in children, and to identify if there is a relationship between these events with higher TB incidence and social determinants.

METHODS

Ecological study carried out in Brazil. All cases of TB or unspecified pneumonia deaths in children under 5 years of age reported between 2006 and 2016 were included and collected through Department of Informatics of the Unified Health System (Brazil's electronic database). The Spatial Scan Statistics was used to identify areas at higher risk of dying from this event. The spatial association was verified through the Getis-Ord techniques. The Bivariate Moran Global Index was used to verify the spatial autocorrelation between the two events. To identify the association of TB and pneumonia deaths with endemic areas of pulmonary TB and social determinants, four explanatory statistical models were identified.

RESULTS

A total of 21 391 cases of pneumonia and 238 cases of TB were identified. Spatial scanning analysis enabled the detection of four clusters of risk for TB (relative risk, RR, between 3.30 and 18.18) and 22 clusters for pneumonia (RR between 1.38 and 5.24). The spatial association of the events was confirmed (z-score 3.74 and 64.34) and spatial autocorrelation between events (Moran Index:0.031 (p=0.001)). The zero-inflated negative binomial distribution was chosen, and an association for both events was identified with the TB incidence rate (OR 5.3, 95% CI 2.85 to 9.84; OR 6.63, 95% CI 5.62 to 7.81), with the Gini Index (OR 1.78, 95% CI 1.12 to 2.82; OR 4.22, 95% CI 3.63 to4.92). Primary care coverage showed an inverse association for both events (OR 0.10, 95% CI 0.67 to 0.17; OR 0.18, 95% CI 0.15 to 0.21) for pneumonia). Finally, a family that benefited from the Bolsa Família Programme had an inverse association for deaths from pneumonia (OR 0.81, 95% CI 0.52 to 1.25).

CONCLUSIONS

The results do not just contribute to reduce mortality in children, but mainly contribute to prevent premature deaths through identification of critical areas in Brazil, which is crucial to qualify health surveillance services.

Fetal, neonatal, and post-neonatal mortality in the 2015 Pelotas (Brazil) birth cohort and associated factors

This study aimed to describe fetal, neonatal, and post-neonatal mortality and associated factors in participants of the 2015 Pelotas (Brazil) birth cohort. The child mortality sub-study followed up all deaths in the first year of life. Data were collected on intrauterine fetal deaths (weight ≥ 500g and/or gestational age ≥ 20 weeks), neonatal deaths (< 28 days of life), and post-neonatal deaths (from 28 days to the end of the first year of life). Descriptive analyses using the Pearson chi-square test and a multinomial logistic regression to estimate the risk of fetal, neonatal, and post-neonatal deaths compared to live infants in the cohort (reference group) were performed. Data from 4,329 eligible births were collected, of which 54 died during the fetal period. Of the 4,275 eligible live births, 59 died in the first year of life. An association between fetal, neonatal, and post-neonatal deaths (OR = 15.60, 7.63, and 5.51 respectively) was found, as well as less than six prenatal consultations. Compared to live infants, fetal deaths were more likely to occur in non-white mothers, and neonatal deaths were 14.09 times more likely to occur in a preterm gestational age (< 37 weeks). Compared to live infants, infants that were born in a C-section delivery had 3.71 increased odds of post-neonatal death. Additionally, neonatal deaths were 102.37 times more likely to have a low Apgar score on the fifth minute after birth. These findings show the need for early interventions during pregnancy, ensuring access to adequate prenatal care.

Inclusão de etapa de pós-processamento determinístico para o aumento de performance do relacionamento (linkage) probabilístico

O objetivo do presente estudo foi demonstrar a aplicação de uma etapa de pós-processamento determinístico, baseada em medidas de similaridade, para aumentar a performance do relacionamento probabilístico com e sem a etapa de revisão manual. As bases de dados utilizadas no estudo foram o Sistema de Informação de Agravos de Notificação e o Sistema de Informações sobre Mortalidade, no período de 2007 a 2015, do Município de Palmas, Tocantins, Brasil. O software probabilístico utilizado foi o OpenRecLink; foi desenvolvida e aplicada uma etapa de pós-processamento determinístico aos dados obtidos por três diferentes estratégias de pareamento probabilístico. As três estratégias foram comparadas entre si e acrescidas da etapa de pós-processamento determinístico. A sensibilidade das estratégias probabilísticas sem revisão manual variou entre 69,1% e 77,8%, já as mesmas estratégias, acrescidas da etapa de pós-processamento determinístico, apresentaram uma variação entre 92,9% e 96,3%. A sensibilidade de duas estratégias probabilísticas com revisão manual foi semelhante à obtida pela etapa de pós-processamento determinístico, no entanto, o número de pares destinados à revisão manual pelas duas estratégias probabilísticas variou entre 1.177 e 1.132 registros, contra 149 e 145 após a etapa de pós-processamento determinístico. Nossos resultados sugerem que a etapa de pós-processamento determinístico é uma opção promissora, tanto para aumentar a sensibilidade quanto para reduzir o número de pares que precisam ser revisados manualmente, ou mesmo para eliminar sua necessidade.