Análise espacial da tuberculose infantil no estado do Espírito Santo, 2000 a 2007

Sales, Carolina Maia Martins; Figueiredo, Túlio Alberto Martins de; Zandonade, Eliana; Maciel, Ethel Leonor Nóia

doi:10.1590/s0037-86822010000400020

Cited by 18 publications

(21 citation statements)

References 10 publications

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“…An ecologic study of childhood tuberculosis conducted in the State of Espírito Santo corroborated the use of spatial analysis methodologies so as to adjust small areas with a low incidence of the disease and to acknowledge possible areas of recent transmission 17 .…”

Section: Discussionmentioning

confidence: 97%

Spatial analysis of new cases of leprosy in the State of Espírito Santo, Brazil, between 2004 and 2009

Sampaio

Rossi

Cerutti

et al. 2012

Rev. Soc. Bras. Med. Trop.

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INTRODUCTION: Leprosy in Brazil is a public health issue, and there are many regions in the State of Espírito Santo with high endemic incidence levels of leprosy, characterizing this state as a priority for leprosy programs. The aim of this study was to determine the spatial distribution of coefficients of new cases of leprosy in the State of Espírito Santo, Brazil. METHODS: We conducted a descriptive and ecologic study based on the spatial distribution of leprosy in the State of Espírito Santo between 2004 and 2009. Data were gathered from the available records of the Espírito Santo State Health Secretary. The global and local Bayesian empirical methods were used to produce an estimate of leprosy risk, smoothing the fluctuation effects of the detection coefficients. RESULTS: The study resulted in a coefficient adjustment of new cases in 10 towns that changed their classification, among which, 2 went from low to medium, 4 from medium to high, 3 from high to very high, and 1 from very high to hyper-endemic. An average variation of 1.02, fluctuating between 0 and 12.39 cases/100,000 inhabitants, was found in a comparative calculation between the Local Ebest value and the average coefficient of new leprosy cases in the State of Espírito Santo. CONCLUSIONS: The spatial analysis of leprosy favors the establishment of control strategies with a better cost-benefit relationship since it reveals specific and priority regions, thereby enabling the development of actions that can interfere in the transmission chain.

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Section: Discussionmentioning

confidence: 97%

Spatial analysis of new cases of leprosy in the State of Espírito Santo, Brazil, between 2004 and 2009

Sampaio

Rossi

Cerutti

et al. 2012

Rev. Soc. Bras. Med. Trop.

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“…A Brazilian study (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)) detected strong spatial auto correlation of TB rates and remarked that these rates were notably higher in urban areas on the eastern seaboard and in the west of the country 9 . Sales et al 2 , also detected high incidence rates of childhood TB in the major metropolitan areas of Espírito Santo State in southeastern Brazil in 2000Brazil in -2007.…”

Section: Introductionmentioning

confidence: 91%

“…Their use in public health provides a better understanding of the dynamics of the disease processes and diffusion as well as the relationship between the disease and the environment 1 . Some studies have evaluated tuberculosis (TB) distribution using spatial analysis tool [2][3][4][5][6][7] . In Portugal, the spatial distribution of TB incidence rates (2004)(2005)(2006) showed high values in large cities (Porto, Lisbon and Setúbal Peninsula), in north-eastern and in southern Portugal 8 .…”

Section: Introductionmentioning

confidence: 99%

Distribution of pulmonary tuberculosis in Rio de Janeiro (Brazil): a spatial analysis

Rodrigues

Andrade

O’Dwyer

et al. 2017

Ciênc. saúde coletiva

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The aim of this study was to analyze the spatial distribution of the tuberculosis endemic in Rio de Janeiro State from 2002 to 2011. A retrospective study was conducted in the state of Rio de Janeiro from 2002 to 2011. Spatial analysis techniques were used to describe the distribution of tuberculosis incidence in the state. Multilevel Poisson regression model was used to access the relationship of tuberculosis and the following factors: “sex”, “age-group” and “diagnostic year” (individual-level factors). Demographic density and municipality were also included in the model as contextual-level factors. A reduction in endemic tuberculosis was observed over the years. The highest incidence rates were concentrated on the south coast of the state, covering Rio de Janeiro City (capital) and neighboring cities. We detected a significant clustering of high TB incidence rates on the south coast of the state and a cluster of low incidence in the northeastern region of state. The risk of tuberculosis was higher in early 2000s, in males and in 40-59 age group. Metropolitan regions are important risk areas for the spread of tuberculosis. These findings could be used to plan control measures according to the characteristics of each region.

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“…Com a utilização de mapas, a investigação detectou cluster espacial de municípios com incidência maior e acima da média estadual quando comparado a regiões que não são de fronteira, indicando alto risco de transmissão da tuberculose, possivelmente devido à grande mobilidade populacional, o que aumenta a vulnerabilidade 47 . Considerando que a maioria dos estudos e o próprio Programa Nacional de Controle da Tuberculose priorizam intervenções para adultos, um estudo desenvolvido em um estado brasileiro endêmico enfocou a distribuição da tuberculose infantil para estimativa de risco e identificou áreas de transmissão recente, que podem estar relacionadas com contatos intradomiciliares 48 . O uso do geoprocessamento estende-se, ainda, à investigação da distribuição dos casos ou de fatores relacionados de outras doenças crônicas, como diabetes e hipertensão arterial 49,50 .…”

Section: Aplicação Do Geoprocessamento Na Saúdeunclassified

Geoprocessamento em Saúde Pública: fundamentos e aplicações

Nardi

Paschoal

Pedro

et al. 2013

Rev. Inst. Adolfo Lutz

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RESUMONeste trabalho foi averiguado o uso do geoprocessamento como ferramenta para realizar pesquisa e como subsídio para efetuar planejamento de ações em saúde pública. Diversos investigadores têm citado a construção de sistema de vigilância da saúde orientado por um modelo de análise de situações de risco, em substituição ao modelo de risco individual. Esta alternativa, que utiliza o espaço como referência, tem potencialmente mostrado maior poder explicativo por expressar diferentes acessos aos bens e aos serviços de infraestrutura urbana. Com o sistema de geoprocessamento, torna-se possível observar os fatores socioeconômicos, assim como a utilização e as formas de ocupação de áreas. Além disso, podem ser obtidos dados relevantes para efetuar o controle da vigilância em relação à saúde e ao meio ambiente construído e habitado. O uso do geoprocessamento constitui uma importante ferramenta para realizar a identificação, a localização e o acompanhamento de populações, principalmente nas periferias dos grandes centros urbanos. Este sistema contribui, ainda, para desenvolver os estudos de transmissão, de disseminação e, ainda, das ações de controle das doenças e dos agravos de saúde de uma determinada área de abrangência. Palavras-chave. saúde pública, distribuição espacial da população, vigilância epidemiológica, epidemiologia, geoprocessamento em saúde. ABSTRACTIn the present study is described the importance of the geographic information system (GIS) as a tool for performing research and as a subsidy for action planning in public health. Many investigators have described the construction of a health surveillance system based on a model to analyze the risk situations, aiming at replacing the individual risk model. This option employs the space as a reference, which potentially holds greater explanatory power for expressing different approaches to the profits and services for urban infrastructure. The geo-processing allows to observe the socioeconomic factors, the ways and the use of occupying the inhabited areas, to acquire relevant data for monitoring the sanitary surveillance, and also built and inhabited environment. The geo-processing works as an important tool for performing the identification, location and follow-up of populations. Therefore, the geo-processing contributes to the study on transmission, distribution and actions directed to the diseases and health problems control in a given scope area.

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Análise espacial da tuberculose infantil no estado do Espírito Santo, 2000 a 2007

Cited by 18 publications

References 10 publications

Spatial analysis of new cases of leprosy in the State of Espírito Santo, Brazil, between 2004 and 2009

Spatial analysis of new cases of leprosy in the State of Espírito Santo, Brazil, between 2004 and 2009

Distribution of pulmonary tuberculosis in Rio de Janeiro (Brazil): a spatial analysis

Geoprocessamento em Saúde Pública: fundamentos e aplicações

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