Syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in Mato Grosso
Abstract INTRODUCTION: The increasing incidence of syphilis among pregnant women (PS) and congenital syphilis (CS) has negatively affected maternal-child health in Brazil. The spatial approach to diseases with social indicators improves knowledge of health situations. Herein, we aimed to evaluate th...
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ftdoajarticles:oai:doaj.org/article:f8163a19549a485f9241c66edfab6e93 2023-05-15T15:15:35+02:00 Syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in Mato Grosso Leila Regina de Oliveira Emerson Soares dos Santos Francisco José Dutra Souto 2020-10-01T00:00:00Z https://doi.org/10.1590/0037-8682-0316-2020 https://doaj.org/article/f8163a19549a485f9241c66edfab6e93 EN eng Sociedade Brasileira de Medicina Tropical (SBMT) http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100363&tlng=en https://doaj.org/toc/1678-9849 1678-9849 doi:10.1590/0037-8682-0316-2020 https://doaj.org/article/f8163a19549a485f9241c66edfab6e93 Revista da Sociedade Brasileira de Medicina Tropical, Vol 53 (2020) Syphilis Medical record linkage Spatial analysis Space-time clustering Social determinants of health Arctic medicine. Tropical medicine RC955-962 article 2020 ftdoajarticles https://doi.org/10.1590/0037-8682-0316-2020 2022-12-31T02:53:18Z Abstract INTRODUCTION: The increasing incidence of syphilis among pregnant women (PS) and congenital syphilis (CS) has negatively affected maternal-child health in Brazil. The spatial approach to diseases with social indicators improves knowledge of health situations. Herein, we aimed to evaluate the spatiotemporal distribution of incidences, identify the priority areas for infection control actions, and analyze the relationship of PS and CS clusters with social determinants of health in Mato Grosso. METHODS: This is an ecological study with data from different health information systems. After data procedure linkage, we analyzed the Bayesian incidences of triennial infections during specific periods. We performed SATSCAN screenings to identify spatiotemporal clusters. Further, we verified the differences between the clusters and indicators using Pearson’s chi-square test. RESULTS: The variations in PS incidence were 0.9-20.5/1,000 live births (LB), 0.6-46.3/1,000 LB, and 2.1-23.2/1,000 LB in the first, second, and last triennium, respectively; for CS, the variations were 0-7.1/1,000 LB, 0-7.5/1,000 LB, and 0.3-10.8/1,000 LB in the first, second, and last triennium, respectively. Three clusters each were identified for PS (RR=2.02; RR=0.30; RR=21.45, p<0.0001) and CS (RR=3.55; RR=0.10; RR=0.26, p<0.0001). The high-risk clusters overlapped in time-space; CS incidence was associated with municipalities with a higher proportion of LB mothers of race/non-white color and with poor sanitary conditions, lower proportion of pregnant teenagers, and under 8 years of schooling. CONCLUSIONS: The increase in the spatiotemporal evolution of PS and CS incidences and the extension of areas with persistent infections indicate the need for monitoring, especially of priority areas in the state. Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Revista da Sociedade Brasileira de Medicina Tropical 53 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Syphilis Medical record linkage Spatial analysis Space-time clustering Social determinants of health Arctic medicine. Tropical medicine RC955-962 |
spellingShingle |
Syphilis Medical record linkage Spatial analysis Space-time clustering Social determinants of health Arctic medicine. Tropical medicine RC955-962 Leila Regina de Oliveira Emerson Soares dos Santos Francisco José Dutra Souto Syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in Mato Grosso |
topic_facet |
Syphilis Medical record linkage Spatial analysis Space-time clustering Social determinants of health Arctic medicine. Tropical medicine RC955-962 |
description |
Abstract INTRODUCTION: The increasing incidence of syphilis among pregnant women (PS) and congenital syphilis (CS) has negatively affected maternal-child health in Brazil. The spatial approach to diseases with social indicators improves knowledge of health situations. Herein, we aimed to evaluate the spatiotemporal distribution of incidences, identify the priority areas for infection control actions, and analyze the relationship of PS and CS clusters with social determinants of health in Mato Grosso. METHODS: This is an ecological study with data from different health information systems. After data procedure linkage, we analyzed the Bayesian incidences of triennial infections during specific periods. We performed SATSCAN screenings to identify spatiotemporal clusters. Further, we verified the differences between the clusters and indicators using Pearson’s chi-square test. RESULTS: The variations in PS incidence were 0.9-20.5/1,000 live births (LB), 0.6-46.3/1,000 LB, and 2.1-23.2/1,000 LB in the first, second, and last triennium, respectively; for CS, the variations were 0-7.1/1,000 LB, 0-7.5/1,000 LB, and 0.3-10.8/1,000 LB in the first, second, and last triennium, respectively. Three clusters each were identified for PS (RR=2.02; RR=0.30; RR=21.45, p<0.0001) and CS (RR=3.55; RR=0.10; RR=0.26, p<0.0001). The high-risk clusters overlapped in time-space; CS incidence was associated with municipalities with a higher proportion of LB mothers of race/non-white color and with poor sanitary conditions, lower proportion of pregnant teenagers, and under 8 years of schooling. CONCLUSIONS: The increase in the spatiotemporal evolution of PS and CS incidences and the extension of areas with persistent infections indicate the need for monitoring, especially of priority areas in the state. |
format |
Article in Journal/Newspaper |
author |
Leila Regina de Oliveira Emerson Soares dos Santos Francisco José Dutra Souto |
author_facet |
Leila Regina de Oliveira Emerson Soares dos Santos Francisco José Dutra Souto |
author_sort |
Leila Regina de Oliveira |
title |
Syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in Mato Grosso |
title_short |
Syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in Mato Grosso |
title_full |
Syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in Mato Grosso |
title_fullStr |
Syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in Mato Grosso |
title_full_unstemmed |
Syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in Mato Grosso |
title_sort |
syphilis in pregnant women and congenital syphilis: spatial pattern and relationship with social determinants of health in mato grosso |
publisher |
Sociedade Brasileira de Medicina Tropical (SBMT) |
publishDate |
2020 |
url |
https://doi.org/10.1590/0037-8682-0316-2020 https://doaj.org/article/f8163a19549a485f9241c66edfab6e93 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic |
genre_facet |
Arctic |
op_source |
Revista da Sociedade Brasileira de Medicina Tropical, Vol 53 (2020) |
op_relation |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0037-86822020000100363&tlng=en https://doaj.org/toc/1678-9849 1678-9849 doi:10.1590/0037-8682-0316-2020 https://doaj.org/article/f8163a19549a485f9241c66edfab6e93 |
op_doi |
https://doi.org/10.1590/0037-8682-0316-2020 |
container_title |
Revista da Sociedade Brasileira de Medicina Tropical |
container_volume |
53 |
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