Eller Bruna Betiatti Benatatti, Junqueira Marcelle Aparecida de Barros, Araújo Lucio Borges de
Universidade Federal de Uberlândia, Programa de Pós-Graduação em Saúde da Família, Uberlândia, MG, Brazil.
Universidade Federal de Uberlândia, Instituto de Matemática e Estatística, Uberlândia, MG, Brazil.
Epidemiol Serv Saude. 2025 Jul 11;34:e20240495. doi: 10.1590/S2237-96222025v34e20240495.en. eCollection 2025.
To analyze variation in congenital syphilis incidence, according to prenatal indicators and primary health care (PHC) coverage in the state of Minas Gerais, between 2020 and 2022.
Spatial analysis presented by means of clusters, using the non-hierarchical k-means technique and spatial georeferencing, with secondary data from the Primary Care Health Information System and the Minas Gerais State Health Department Health Surveillance Portal.
Cluster 1 presented lower prenatal indicators (35.5%) and PHC coverage (88.6%), with high congenital syphilis incidence (36.5 cases/1,000 live births). Cluster 2 demonstrated lower incidence of the disease (5.1 cases/1,000 live births) and better PHC (96.5%) and prenatal (57.5%) coverage. Cluster 3 recorded prenatal indicators with low performance (25.7%), adequate PHC coverage (92.2%), and low congenital syphilis incidence (3.21 cases/1,000 live births).
Different care behaviors and congenital syphilis incidence were identified between health macro-regions and/or municipalities of Minas Gerais; as such, the study can contribute to the formulation of public policies to address this infection.
分析2020年至2022年期间，米纳斯吉拉斯州先天性梅毒发病率根据产前指标和初级卫生保健（PHC）覆盖率的变化情况。
采用非层次k均值技术和空间地理参照，通过聚类进行空间分析，使用来自初级保健健康信息系统和米纳斯吉拉斯州卫生部健康监测门户网站的二手数据。
第1组产前指标（35.5%）和初级卫生保健覆盖率（88.6%）较低，先天性梅毒发病率较高（36.5例/1000例活产）。第2组该疾病发病率较低（5.1例/1000例活产），初级卫生保健（96.5%）和产前（57.5%）覆盖率较好。第3组记录的产前指标表现不佳（25.7%），初级卫生保健覆盖率充足（92.2%），先天性梅毒发病率较低（3.21例/1000例活产）。
在米纳斯吉拉斯州的卫生宏观区域和/或城市之间发现了不同的护理行为和先天性梅毒发病率；因此，该研究有助于制定应对这种感染的公共政策。
