Microcephaly infant mortality in Brazil before zika outbreak
Introduction We present temporal and spatial variation of deaths from microcephaly in children under 1 year of age is analyzed at regional, state, and municipal level in the pre-Zika period in Brazil. Materials and Methods Data on births and deaths of infants with microcephaly was obtained from DATA...
Guardado en:
| Autores principales: | , , , |
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| Formato: | Artículo revista |
| Lenguaje: | Inglés Español |
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Universidad Nacional Córdoba. Facultad de Ciencias Médicas. Secretaria de Ciencia y Tecnología
2019
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| Acceso en línea: | https://revistas.unc.edu.ar/index.php/med/article/view/25172 |
| Aporte de: |
| Sumario: | Introduction
We present temporal and spatial variation of deaths from microcephaly in children under 1 year of age is analyzed at regional, state, and municipal level in the pre-Zika period in Brazil.
Materials and Methods
Data on births and deaths of infants with microcephaly was obtained from DATASUS from 1996 to 2013. Infant mortality rate from microcephaly (IMR-M) was estimated at Region, Federative Unit (UF), and Municipality level. Secular trend (ST) and risk of death variation were estimated using a Poisson regression model. Satscan software was used to obtain a statistic spatial scan for the Poisson model.
Results
IMR-M shows a non-significant negative ST in the Southeast, South and Central West Regions of Brazil. A greater IMR-M risk of death variation is found in the North and Northeast Regions. Most UFs in the Southeast, South and Central West Regions showed a negative ST, in contrast to what occurs in the UFs of the North and Northeast Regions showed a positive ST. Six high risk significant clusters were found: 3 in the North-Northeast and 3 in the South-SouthWest-Center-West.
Conclusions
The North and Northeast Regions showed positive ST for IRM-M and higher death risk, which was not observed in the other regions. Cluster distribution for higher IMR-M and risk resembles the distribution of the microcephaly and Zika cases in the outbreak period. |
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