Temporal trends in areas at risk for concomitant tuberculosis in a hyperendemic municipality in the Amazon region of Brazil

作     者：Alexandre Tadashi Inomata Bruce Thais Zamboni Berra Felipe Lima dos Santos Yan Mathias Alves Ludmilla Leidianne Limirio Souza Antônio Carlos Vieira Ramos Luiz Henrique Arroyo Juliane de Almeida Crispim Ione Carvalho Pinto Pedro Fredemir Palha Aline Aparecida Monroe Mellina Yamamura Regina Célia Fiorati Ana Carolina Scarpel Moncaio Dulce Maria de Oliveira Gomes Ricardo Alexandre Arcêncio 

作者机构：Department of Maternal-Infant and Public Health NursingUniversity of São Paulo at Ribeirão Preto College of NursingRibeirão PretoSão PauloBrazil Department of NursingFederal University of São CarlosSão CarlosSão PauloBrazil Department of Neurosciences and Behavioral SciencesRibeirão Preto Medical School of the University of São PauloRibeirão PretoSão PauloBrazil Department of NursingFederal University of CatalãoCatalãoGoiásBrazil Mathematics DepartmentUniversity ofÉvoraÉvoraPortugal 

出 版 物：《Infectious Diseases of Poverty》 (贫困所致传染病（英文）)

年 卷 期：2020年第9卷第4期

页      面：162-162页

核心收录：

学科分类：1002[医学-临床医学] 100201[医学-内科学(含：心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学] 

基　　金：National Council on Research and Development (CNPq) [130203/2019-0] 

主　　题：Tuberculosis Public health Epidemiology Spatial analysis Spatio-temporal analysis 

摘      要：Background Although preventable and curable,tuberculosis(TB)still occurs in poor or developing countries,mainly in metropolitan regions of larger *** disease is a serious public health problem,and is directly linked to social *** analyzed temporal trend variations in areas at risk for concomitant TB,and characterized the clinical and epidemiological profiles of cases in a hyperendemic municipality in the Amazon region of *** This ecological study was performed in the municipality of Manaus,in northern *** population comprised cases with concomitant pulmonary and extrapulmonary TB,registered on the Notifiable Diseases Information System(SINAN),between January 1,2009 and December 31,*** risk cluster detection,spatial and spatiotemporal scanning statistical techniques were *** Spatial Variation in Temporal Trends(SVTT)approach was used to detect and infer clusters for significantly different time *** Between 2009 and 2018,873 concomitant TB cases were registered in *** using purely spatial scanning statistics,we identified two risk *** relative risk(RR)of the clusters was 2.21(95%confidence interval[CI]:1.57–2.88;P=0.0031)and 2.03(95%CI:1.58–2.58;P=0.0029).Using space-time scanning,we identified a risk cluster with an RR of 3.57(95%CI:2.84–4.41;P=0.014),between 2017 and *** SVTT analyses,three clusters with spatial variations were detected in the significant temporal trends:SVTT 1(P=0.042),SVTT 2(P=0.046)and SVTT 3(P=0.036).Conclusions In Brazil,several TB-determining factors such as race/color,gender,low educational level and low income overlap in needy urban areas and communities,demonstrating that it is unlikely to reach the goals,agreed and launched with the END TB Strategy within the deadlines of international agreements,if there is no reduction in existing inequities determinants and risk of illness in the country.