2026-03-022026-03-022025-03-20MOTA, Lucas Magno. Perfil epidemiológico da sífilis em gestantes na Amazônia legal. Orientador: Ciro Francisco Moura de Assis Neto; Coorientador: Sérgio Beltrão de Andrade Lima. 2025. 21 f. Trabalho de Conclusão de Curso (Bacharelado em Medicina) - Faculdade de Medicina, Campus Universitário de Altamira, Universidade Federal do Pará, Altamira, 2025. Disponível em: https://bdm.ufpa.br/handle/prefix/9261. Acesso em:.https://bdm.ufpa.br/handle/prefix/9261Objective: Objective: To describe the epidemiological profile of notified cases of syphilis in pregnant women (SG) living in the Legal Amazon (LA) between 2013 and 2022. Methods: This is a descriptive epidemiological study with a quantitative approach carried out by surveying notified cases of syphilis in residents of the states that make up LA between 2013 and 2022. Data was collected from SINAN and SINASC and analyzed using descriptive statistics. The variables investigated were number of cases, year of diagnosis, detection rate, age group and schooling of pregnant women, clinical classification, number of treponemal and non-treponemal tests. Results: During the period analyzed, 68,165 cases of SG were reported in LA. Except for 2020, the number of records of the disease gradually increased until 2022. In addition, the detection rate of SG increased during the period in the region and in states such as Acre it was higher than the national rate. Those most affected were aged between 20 and 39 and with incomplete primary education. Primary syphilis predominated and most of the reactive tests were non-treponemal. Conclusion: The study revealed that SG represents an important public health problem to be overcome in LA.Acesso AbertoEpidemiologiaGestantesNotificação de doençasSífilisEpidemiologyPregnant womenDisease notificationSyphilisCNPQ::CIENCIAS DA SAUDE::MEDICINA::CLINICA MEDICA::GINECOLOGIA E OBSTETRICIAPerfil epidemiológico da sífilis em gestantes na Amazônia legalTrabalho de Curso - Graduação - MonografiaAttribution-NonCommercial-NoDerivs 3.0 Brazil