Matheus Santos Melo , Lúcia Rolim Santana de Freitas , Francisco Edilson Ferreira Lima-Júnior , Alexander Vargas , Júlio dos Santos Pereira , Pedro de Alcântara Brito-Júnior , Renata Carla de Oliveira , Janaína de Sousa Menezes , Tarcilla Corrente Borghesan , Josivânia Arrais de Figueiredo , Rosalynd Vinicios da Rocha Moreira , Alda Maria da Cruz , Ana Ribeiro , Tainá Raiol , Shirley Verônica Melo Almeida Lima , Márcio Bezerra-Santos , Allan Dantas dos Santos , Caíque Jordan Nunes Ribeiro , Vitor Vieira Vasconcelos
{"title":"巴西先天性弓形虫病发病率的空间模式及其与易感性和国家健康指标的关系","authors":"Matheus Santos Melo , Lúcia Rolim Santana de Freitas , Francisco Edilson Ferreira Lima-Júnior , Alexander Vargas , Júlio dos Santos Pereira , Pedro de Alcântara Brito-Júnior , Renata Carla de Oliveira , Janaína de Sousa Menezes , Tarcilla Corrente Borghesan , Josivânia Arrais de Figueiredo , Rosalynd Vinicios da Rocha Moreira , Alda Maria da Cruz , Ana Ribeiro , Tainá Raiol , Shirley Verônica Melo Almeida Lima , Márcio Bezerra-Santos , Allan Dantas dos Santos , Caíque Jordan Nunes Ribeiro , Vitor Vieira Vasconcelos","doi":"10.1016/j.sste.2024.100693","DOIUrl":null,"url":null,"abstract":"<div><div>There is a gap in evidence regarding spatial clusters of the congenital toxoplasmosis (CT) and its association with social and health indicators in the Brazilian territory. Thus, we aimed herein to identify CT risk areas in Brazil and its association with social vulnerability and health indicators. An ecological and population-based study was conducted. The CT incidence coefficient was calculated and smoothed using the Local Empirical Bayesian method. Global regression models and local spatial regression model were applied. High-incidence clusters of the disease were identified throughout the country. Additionally, a positive association was observed between the incidence of congenital toxoplasmosis and the Social Vulnerability Index, coverage of community health agents, and the percentage of prenatal consultations. This association was stronger the further south in the country. Herewith, the implementation and strengthening of public strategies, with focus on priority intersectoral actions for prevention, early diagnosis, and prompt treatment, is urgently required for the effective control of CT in Brazilian municipalities.</div></div>","PeriodicalId":46645,"journal":{"name":"Spatial and Spatio-Temporal Epidemiology","volume":"51 ","pages":"Article 100693"},"PeriodicalIF":2.1000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial pattern of congenital toxoplasmosis incidence and its relationship with vulnerability and national health indicators in Brazil\",\"authors\":\"Matheus Santos Melo , Lúcia Rolim Santana de Freitas , Francisco Edilson Ferreira Lima-Júnior , Alexander Vargas , Júlio dos Santos Pereira , Pedro de Alcântara Brito-Júnior , Renata Carla de Oliveira , Janaína de Sousa Menezes , Tarcilla Corrente Borghesan , Josivânia Arrais de Figueiredo , Rosalynd Vinicios da Rocha Moreira , Alda Maria da Cruz , Ana Ribeiro , Tainá Raiol , Shirley Verônica Melo Almeida Lima , Márcio Bezerra-Santos , Allan Dantas dos Santos , Caíque Jordan Nunes Ribeiro , Vitor Vieira Vasconcelos\",\"doi\":\"10.1016/j.sste.2024.100693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>There is a gap in evidence regarding spatial clusters of the congenital toxoplasmosis (CT) and its association with social and health indicators in the Brazilian territory. Thus, we aimed herein to identify CT risk areas in Brazil and its association with social vulnerability and health indicators. An ecological and population-based study was conducted. The CT incidence coefficient was calculated and smoothed using the Local Empirical Bayesian method. Global regression models and local spatial regression model were applied. High-incidence clusters of the disease were identified throughout the country. Additionally, a positive association was observed between the incidence of congenital toxoplasmosis and the Social Vulnerability Index, coverage of community health agents, and the percentage of prenatal consultations. This association was stronger the further south in the country. Herewith, the implementation and strengthening of public strategies, with focus on priority intersectoral actions for prevention, early diagnosis, and prompt treatment, is urgently required for the effective control of CT in Brazilian municipalities.</div></div>\",\"PeriodicalId\":46645,\"journal\":{\"name\":\"Spatial and Spatio-Temporal Epidemiology\",\"volume\":\"51 \",\"pages\":\"Article 100693\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Spatial and Spatio-Temporal Epidemiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1877584524000601\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Spatial and Spatio-Temporal Epidemiology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1877584524000601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Spatial pattern of congenital toxoplasmosis incidence and its relationship with vulnerability and national health indicators in Brazil
There is a gap in evidence regarding spatial clusters of the congenital toxoplasmosis (CT) and its association with social and health indicators in the Brazilian territory. Thus, we aimed herein to identify CT risk areas in Brazil and its association with social vulnerability and health indicators. An ecological and population-based study was conducted. The CT incidence coefficient was calculated and smoothed using the Local Empirical Bayesian method. Global regression models and local spatial regression model were applied. High-incidence clusters of the disease were identified throughout the country. Additionally, a positive association was observed between the incidence of congenital toxoplasmosis and the Social Vulnerability Index, coverage of community health agents, and the percentage of prenatal consultations. This association was stronger the further south in the country. Herewith, the implementation and strengthening of public strategies, with focus on priority intersectoral actions for prevention, early diagnosis, and prompt treatment, is urgently required for the effective control of CT in Brazilian municipalities.