Ian da Costa Araújo Barros, Carliane da Conceição Machado Sousa, Neylany Raquel Ferreira da Silva, Márcio Dênis Medeiros Mascarenhas
{"title":"2007-2021 年巴西皮奥伊州麻风病例特征及流行病学和业务指标:时间序列和空间分布分析。","authors":"Ian da Costa Araújo Barros, Carliane da Conceição Machado Sousa, Neylany Raquel Ferreira da Silva, Márcio Dênis Medeiros Mascarenhas","doi":"10.1590/S2237-96222024v33e2023090.en","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>To analyze epidemiological characteristics, temporal trends and spatial distribution of leprosy cases and indicators in the state of Piauí, 2007-2021.</p><p><strong>Methods: </strong>This was an ecological time-series study using data from the Notifiable Health Conditions Information System, describing the spatial distribution and the temporal trend of leprosy using Prais-Winsten regression.</p><p><strong>Results: </strong>A total of 17,075 new cases of leprosy were reported. There was a falling trend in the overall detection rate [annual percentage change (APC) = -6.3; 95%CI -8.1;-4.5)], detection in children under 15 years of age (APC = -8,6; 95%CI -12,7;-4,3) and detection of cases with grade 2 physical disability (APC = -4,4; 95%CI -7,0;-1,8). There was a rising trend in the proportion of multibacillary cases. Spatial distribution of the average detection rate identified hyperendemic areas in the Carnaubais, Entre Rios, Vale dos Rios Piauí e Itaueiras regions.</p><p><strong>Conclusion: </strong>High leprosy detection rates were found, despite the falling trend of indicators, except the proportion of multibacillary cases.</p><p><strong>Main results: </strong>Between 2007 and 2021, Piauí showed an improving trend in all indicators analyzed, except the proportion of new multibacillary cases. Spatial distribution identified hyperendemic areas in different regions of the state.</p><p><strong>Implications for services: </strong>This study provides health services with a broad overview of the epidemiological situation of leprosy in Piauí, with evidence of the populations and locations most affected by the disease, whereby public authorities need to reinforce the promotion of health actions.</p><p><strong>Perspectives: </strong>It is expected that actions to prevent and control the disease will be adopted, such as offering early diagnosis, ensuring correct treatment and implementing measures to prevent physical disabilities.</p>","PeriodicalId":51473,"journal":{"name":"Epidemiologia e Servicos de Saude","volume":"33 ","pages":"e2023090"},"PeriodicalIF":2.5000,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10807012/pdf/","citationCount":"0","resultStr":"{\"title\":\"Characterization of cases and epidemiological and operational indicators of leprosy: analysis of time series and spatial distribution, Piauí state, Brazil, 2007-2021.\",\"authors\":\"Ian da Costa Araújo Barros, Carliane da Conceição Machado Sousa, Neylany Raquel Ferreira da Silva, Márcio Dênis Medeiros Mascarenhas\",\"doi\":\"10.1590/S2237-96222024v33e2023090.en\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>To analyze epidemiological characteristics, temporal trends and spatial distribution of leprosy cases and indicators in the state of Piauí, 2007-2021.</p><p><strong>Methods: </strong>This was an ecological time-series study using data from the Notifiable Health Conditions Information System, describing the spatial distribution and the temporal trend of leprosy using Prais-Winsten regression.</p><p><strong>Results: </strong>A total of 17,075 new cases of leprosy were reported. There was a falling trend in the overall detection rate [annual percentage change (APC) = -6.3; 95%CI -8.1;-4.5)], detection in children under 15 years of age (APC = -8,6; 95%CI -12,7;-4,3) and detection of cases with grade 2 physical disability (APC = -4,4; 95%CI -7,0;-1,8). There was a rising trend in the proportion of multibacillary cases. Spatial distribution of the average detection rate identified hyperendemic areas in the Carnaubais, Entre Rios, Vale dos Rios Piauí e Itaueiras regions.</p><p><strong>Conclusion: </strong>High leprosy detection rates were found, despite the falling trend of indicators, except the proportion of multibacillary cases.</p><p><strong>Main results: </strong>Between 2007 and 2021, Piauí showed an improving trend in all indicators analyzed, except the proportion of new multibacillary cases. 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引用次数: 0
摘要
目的:分析皮奥伊州 2007-2021 年麻风病流行病学特征、时间趋势和空间分布:分析皮奥伊州2007-2021年麻风病例和指标的流行病学特征、时间趋势和空间分布:这是一项生态学时间序列研究,使用的数据来自 "应报告健康状况信息系统"(Notifiable Health Conditions Information System),利用普拉伊斯-温斯顿回归法(Prais-Winsten regression)描述麻风病的空间分布和时间趋势:结果:共报告了 17,075 例麻风病新病例。总检出率[年度百分比变化(APC)=-6.3;95%CI -8.1;-4.5]、15 岁以下儿童检出率(APC =-8.6;95%CI -12.7;-4.3)和二级肢体残疾检出率(APC =-4.4;95%CI -7.0;-1.8)均呈下降趋势。)多发性病例的比例呈上升趋势。平均检出率的空间分布显示,在卡尔诺拜斯、恩特雷里奥斯、皮奥伊谷多斯里奥斯和伊塔埃拉斯地区存在麻风高流行区:结论:尽管各项指标呈下降趋势,但麻风病检出率很高,只有多纤毛病例的比例除外:主要结果:2007 年至 2021 年间,皮奥伊地区除多弧菌新发病例比例外,所有分析指标均呈改善趋势。空间分布确定了该州不同地区的高流行区:这项研究为医疗服务部门提供了皮奥伊州麻风病流行病学的总体概况,并提供了受麻风病影响最严重的人群和地区的证据,因此公共机构需要加强促进健康的行动:预计将采取预防和控制麻风病的行动,如提供早期诊断、确保正确治疗以及实施预防身体残疾的措施。
Characterization of cases and epidemiological and operational indicators of leprosy: analysis of time series and spatial distribution, Piauí state, Brazil, 2007-2021.
Objective: To analyze epidemiological characteristics, temporal trends and spatial distribution of leprosy cases and indicators in the state of Piauí, 2007-2021.
Methods: This was an ecological time-series study using data from the Notifiable Health Conditions Information System, describing the spatial distribution and the temporal trend of leprosy using Prais-Winsten regression.
Results: A total of 17,075 new cases of leprosy were reported. There was a falling trend in the overall detection rate [annual percentage change (APC) = -6.3; 95%CI -8.1;-4.5)], detection in children under 15 years of age (APC = -8,6; 95%CI -12,7;-4,3) and detection of cases with grade 2 physical disability (APC = -4,4; 95%CI -7,0;-1,8). There was a rising trend in the proportion of multibacillary cases. Spatial distribution of the average detection rate identified hyperendemic areas in the Carnaubais, Entre Rios, Vale dos Rios Piauí e Itaueiras regions.
Conclusion: High leprosy detection rates were found, despite the falling trend of indicators, except the proportion of multibacillary cases.
Main results: Between 2007 and 2021, Piauí showed an improving trend in all indicators analyzed, except the proportion of new multibacillary cases. Spatial distribution identified hyperendemic areas in different regions of the state.
Implications for services: This study provides health services with a broad overview of the epidemiological situation of leprosy in Piauí, with evidence of the populations and locations most affected by the disease, whereby public authorities need to reinforce the promotion of health actions.
Perspectives: It is expected that actions to prevent and control the disease will be adopted, such as offering early diagnosis, ensuring correct treatment and implementing measures to prevent physical disabilities.