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Spatial distribution of congenital syphilis in the state of Bahia, Brazil from 2009 to 2018.

Authors :
Vital, Caroline Luz
Reis, Renato Barbosa
de Souza Soares, Jorgana Fernanda
Miranda, Diego Lopes Paim
Galvão Reis, Mitermayer
Source :
Frontiers in Epidemiology. 2024, p1-9. 9p.
Publication Year :
2024

Abstract

Objective: To describe the temporal trend and spatial distribution of congenital syphilis (CS) cases in the state of Bahia, Brazil between 2009 and 2018. Method: Mixed ecological study conducted through the analysis of data obtained from the Notifiable Diseases Information System and the Live Birth Information System. Global Moran Index I was performed in order to analyze spatial autocorrelation of CS cases in the municipalities of Bahia and the Local Spatial Association Indicator (LISA) was used to identify the formation of spatial regimes in the GeoDA software. Results: 8,786 cases of CS were registered in the period. An increasing growth in CS incidence, with a 511% increase between 2009 and 2018. Spatial autocorrelation was observed between the municipalities (I Moran = 0.452; p < 0.001) and four clusters were identified. More frequently, mothers were aged 20-29 years (50.7%); had incomplete primary education (54.9%); were Black and multiracial (93.2%); received prenatal care (82.2%); 49.0% were diagnosed with syphilis during prenatal care; 68.8% were not adequately treated, and 81.1% of their partners were not treated. Conclusion: The results showed that CS consolidates as a serious public health problem in Bahia, with an incidence 8.4 times higher in the period than the WHO target of 0.5/1,000 live births, predominantly related to inadequate prenatal care and social vulnerability indicators: young mothers with low education levels, as well as individuals identified as Black and multiracial. Thus, programs aimed at women of childbearing age and pregnant women need to be intensified. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
26741199
Database :
Academic Search Index
Journal :
Frontiers in Epidemiology
Publication Type :
Academic Journal
Accession number :
176171398
Full Text :
https://doi.org/10.3389/fepid.2023.1234580