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

Frontiers in epidemiology Pub Date : 2023-09-08 eCollection Date: 2023-01-01 DOI:10.3389/fepid.2023.1234580
Caroline Luz Vital, Renato Barbosa Reis, Jorgana Fernanda de Souza Soares, Diego Lopes Paim Miranda, Mitermayer Galvão Reis
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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.

2009 - 2018年巴西巴伊亚州先天性梅毒的空间分布
目的描述2009 - 2018年巴西巴伊亚州先天性梅毒(CS)病例的时间趋势和空间分布。通过分析从法定传染病信息系统和活产信息系统获得的数据进行混合生态学研究。采用Global Moran Index I来分析巴伊亚州各市CS病例的空间自相关性,并使用Local spatial Association Indicator (LISA)来识别GeoDA软件中空间机制的形成。在此期间,共录得8,786宗心脑血管病个案。CS发病率不断增长,2009年至2018年间增长了511%。城市间存在空间自相关(I Moran = 0.452;P < 0.001),并确定了四个群集。更常见的是,20-29岁的母亲(50.7%);未完成初等教育(54.9%);黑人和多种族(93.2%);接受产前护理(82.2%);49.0%在产前检查中被诊断为梅毒;68.8%的人没有得到充分治疗,81.1%的人的伴侣没有得到治疗。结果表明,在巴伊亚州,CS是一个严重的公共卫生问题,在此期间的发病率比卫生组织每1 000例活产0.5例的目标高出8.4倍,主要与产前护理不足和社会脆弱性指标有关:受教育程度低的年轻母亲,以及被认定为黑人和多种族的个人。因此,需要加强针对育龄妇女和孕妇的方案。
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