Temporal and spatial analysis of low birth weight cases in Sergipe

Authors

  • Vanessa dos Santos Viana Universidade Federal de Sergipe, Aracaju, SE, Brasil. Bolsista do Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Brasil.
  • Juliana Schaia Rocha Orsi Pontifícia Universidade Católica do Paraná, Paraná, PR, Brasil.
  • Regiane Cristina do Amaral Universidade Federal de Sergipe, Departamento de Odontologia, Aracaju, SE, Brasil.

DOI:

https://doi.org/10.1590/1518-8345.8113.4871

Keywords:

Premature Newborn; Prenatal Care; Pregnancy; Spatial Analysis; Premature Birth; Temporal Distribution.

Abstract

Objective:  to conduct a temporal and spatial time-series analysis of low birth weight cases in the Sergipe state from 2013 to 2023, identifying regions with the highest rates. Method:  data from live births in the state, provided by the State Health Department, were analyzed. Kernel density maps were generated by municipality, and time-series analyses were conducted by health region. Results:  between 2013 and 2023, the state recorded 370,329 births, of which 30,999 newborns weighed less than 2,500 grams (8.4%). According to the Kernel density map, the municipalities of Nossa Senhora do Socorro followed by Propriá presented the highest LBW rates. Time-series analysis showed a decreasing trend in the Nossa Senhora da Glória and Nossa Senhora do Socorro regionals. Conclusion:  LBW cases were spatially clustered, and most health regions exhibited stationary trends.

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Published

2026-07-24

Issue

Vol. 34 (2026)

Section

Original Articles

License

Copyright (c) 2026 Revista Latino-Americana de Enfermagem

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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How to Cite

Viana, V. dos S., Orsi, J. S. R., & Amaral, R. C. do. (2026). Temporal and spatial analysis of low birth weight cases in Sergipe. Revista Latino-Americana De Enfermagem, 34, e4871. https://doi.org/10.1590/1518-8345.8113.4871