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dc.contributor.authorMesquita, Cristal Ribeiro-
dc.contributor.authorEnk, Martin Johannes-
dc.contributor.authorGuimarães, Ricardo José de Paula Souza e-
dc.date.accessioned2020-11-04T11:46:47Z-
dc.date.available2020-11-04T11:46:47Z-
dc.date.issued2020-
dc.identifier.citationMESQUITA, Cristal Ribeiro; ENK, Martin Johannes; GUIMARÃES, Ricardo José de Paula Souza e. Spatial analysis studies of endemic diseases for health surveillance: application of scan statistics for surveillance of tuberculosis among residents of a metropolitan municipality aged 60 years and above. Ciência e Saúde Coletiva, v. xx, n. xx, p. xx, 2020. Disponível em: http://www.cienciaesaudecoletiva.com.br/artigos/spatial-analysis-studies-of-endemic-diseases-for-health-surveillance-application-of-scan-statistics-for-surveillance-of-tuberculosis-among-residents-of-a-metropolitan-municipality-aged-60-years-and-above/17583.pt_BR
dc.identifier.issn1678-4561-
dc.identifier.urihttp://patua.iec.gov.br//handle/iec/4199pt_BR
dc.description.abstractHealth surveillance aims to monitor adverse health events, and to set disease prevention and control goals, especially for communicable diseases, such as tuberculosis (TB).Older people have a higher risk of TB, due to their specific characteristics, whichpredispose them to infectious disease. Thus, the objective of this study was to demonstrate the importance of scan statistics for detecting spatiotemporal clusters of TB. We conducted a quantitative is an ecological, descriptive study, with a quantitative approach, using the spatial analysis techniques, specifically scan statistics. The study was conducted in the municipality ofBelém, Pará, in Brazil using data on 1,134 new cases of TB diagnosed in individuals aged ≥60 years2011 to 2015.The data were analyzed using SaTScan software.The analysis of the spatiotemporal dynamics of TB in the municipality showed thatthe high-risk areas includedthe most densely populated neighborhoods, highlighting the priority of theseareas for disease control measures.Spatial analysis can be used to guide more effective interventions according to the characteristics of the location and the local population.pt_BR
dc.language.isoengpt_BR
dc.publisherAbrascopt_BR
dc.rightsAcesso Embargadopt_BR
dc.titleSpatial analysis studies of endemic diseases for health surveillance: application of scan statistics for surveillance of tuberculosis among residents of a metropolitan municipality aged 60 years and abovept_BR
dc.title.alternativeAtuação da vigilância em saúde para estudos de análises espaciais de doenças endêmicas: aplicação da técnica de varredura para vigilância de tuberculose em maiores de 60 anospt_BR
dc.typeArtigopt_BR
dc.subject.decsPrimaryTuberculose / diagnósticopt_BR
dc.subject.decsPrimaryAnálise Espacialpt_BR
dc.subject.decsPrimarySistemas de Informação Geográficapt_BR
dc.subject.decsPrimaryMonitoramento Epidemiológicopt_BR
dc.subject.decsPrimarySaúde do Idosopt_BR
dc.creator.affilliationMinistério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório de Geoprocessamento. Ananindeua, PA, Brasil.pt_BR
dc.creator.affilliationMinistério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.pt_BR
dc.creator.affilliationMinistério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Laboratório de Geoprocessamento. Ananindeua, PA, Brasil.pt_BR


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