Author
Listed:
- Tiê Dias de Farias Coutinho
(Federal University of Paraíba, Health and Decision Modelling Postgraduate Course)
- Neir Antunes Paes
(Federal University of Paraíba, Health and Decision Modelling Postgraduate Course)
Abstract
A Preventable neonatal mortality (0–7 days) is an important public health problem worldwide, and it acquires relevance in underdeveloped regions such as the state of Paraíba in Brazil, where there is a dominant presence of rural municipalities. For this region, among the 15 causes of death with the highest frequency among neonatal deaths, 11 of them were of the preventable type, corresponding to 38.5% of neonatal deaths, which were influenced by different maternal-infant contexts. Thus, the main objective was to associate the set of preventable neonatal death causes with maternal and child risk factors for the state of Paraíba in Brazil in the period from 2009 to 2017. A longitudinal ecological study of the causes of neonatal deaths was carried out with all 223 municipalities in the state of Paraíba, based on information on variables present in the Death Certificate and the Birth Certificate. An exploratory approach was carried out on the quality of records of preventable causes of death and the main maternal-infant variables that appear in the Declarations between the regionalized spaces (urban, adjacent intermediate and adjacent rural). The proportion of neonatal deaths from preventable causes was assumed as the response variable, and nine of the main maternal-infant variables as explanatory. After performing the modeling between several tested panel data models, the final model was generated using the random effects model of least squares weighted with transformed variable, which obtained an adjustment R2 equal to 72.35, with the significant variables (p
Suggested Citation
Tiê Dias de Farias Coutinho & Neir Antunes Paes, 2023.
"Preventable Neonatal Deaths and Maternal and Child Factors in a Region of Brazil: Panel Data Modeling,"
The Springer Series on Demographic Methods and Population Analysis, in: Christos H Skiadas & Charilaos Skiadas (ed.), Quantitative Demography and Health Estimates, chapter 0, pages 175-186,
Springer.
Handle:
RePEc:spr:ssdmcp:978-3-031-28697-1_14
DOI: 10.1007/978-3-031-28697-1_14
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