Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes

Submitted: 12 November 2021
Accepted: 9 March 2022
Published: 17 May 2022
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This is an ecological study analysing spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes using data from the mortality information system (SIM) and live birth information system (SINASC) based on the municipalities of Pernambuco State, Brazil. The total mortality rates over the first 24 hours and that due to preventable causes were calculated for each municipality for the decades of 2000 to 2009 and for 2010 to 2019 to enable a comparison of the spatial patterns with spatial scan statistic used to identify clusters. Over the first 24 hours of life, a total of 13,571 deaths were reported, out of which 10,476 (77.2%) were preventable. The total mortality rate over the first 24 hours of life decreased from 5.5 in the 2000- 2009 period to 3.7 per 1000 live births in the following decade: a reduction of 32.7%, while the mortality rate due to preventable causes decreased from 4.4 to 2.8 per 1000 live births, a reduction of 36.7%. In the first decade, spatial exploratory analysis found three mortality rate clusters encompassing 56 municipalities over the first 24 hours of life. With respect to preventable causes over the first 24 hours of life, two mortality rate clusters were identified encompassing 41 municipalities. Risk areas for mortality over the first 24 hours of life were detected through spatial scan statistic. This method, directed towards uncovering the geographical distribution of deaths of very premature infants, can act as a tool for identifying priority areas to guide healthcare interventions.

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How to Cite

Silva, A. B. dos S., de Melo Araújo, A. C. ., Cabral Silva, A. P. de S. ., Rodrigues Vilela, M. B. ., & do Bonfim, C. V. (2022). Spatial patterns of the total mortality over the first 24 hours of life and that due to preventable causes. Geospatial Health, 17(1). https://doi.org/10.4081/gh.2022.1051