Análise espacial da Hanseníase na microrregião de Almenara, MG, Brasil

Amaral, Evaldo Pinheiro; Lana, Francisco Carlos Félix

doi:10.1590/s0034-71672008000700008

Cited by 53 publications

(61 citation statements)

References 20 publications

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“…Table 1, Table 2 and Table 3 show the articles' summaries according to the scale used: two evaluated regions/ mesoregions 14,15 ; 13 used the scale of municipalities 10,[16][17][18][19][20][21][22][23][24][25][26][27] ; 4 evaluated districts [28][29][30][31] ; 6 studied neighborhoods [32][33][34][35][36][37] ; 7 analyzed the census tracts [38][39][40][41][42][43][44] ; and 3 investigated households [45][46][47] . Within each scale, the articles were organized by location: Brazil, Northern, Northeast, Midwest, and Southeast regions.…”

Section: Resultsmentioning

confidence: 99%

“…Within each scale, the articles were organized by location: Brazil, Northern, Northeast, Midwest, and Southeast regions. In all, 4 approached Brazil 10,16-18 , 7 studied the Northern region or the states of the Amazon region 14,19,20,[38][39][40]45 , 11 focused on the Northeast region [21][22][23]28,[32][33][34][35][36]40,41 , 4 the Midwest region 15,29,37,46 , and 12 the Southeast region [24][25][26][27]30,31,36,37,[42][43][44]47 .…”

Section: Resultsmentioning

confidence: 99%

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Spatial distribution of leprosy in Brazil: a literature review

Silva

Fonseca

Kawa

et al. 2017

Rev. Soc. Bras. Med. Trop.

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Leprosy remains a public health problem in developing countries. Among communicable diseases, it is one of the leading causes of permanent disability. Brazil had not reached the goal of reducing cases to less than 1 per 10,000 population. This study aimed to analyze the spatial distribution of leprosy cases in Brazil, using a literature review. The search strategy included the LILACS and MEDLINE databases with no language or period restriction. Ecological studies with spatial data analysis were considered as a criterion for the inclusion. We found 38 studies for review after the selection criteria. Among the epidemiological indicators of the disease, the most common was the new case detection rate. Several articles have explored the association between spatial distribution of leprosy and socioeconomic, demographic, and environmental factors. The most common unit of analysis was the municipality. The spatial distribution methods mostly used were: empirical Bayesian method, autocorrelation (Moran's I index) and Kernel estimates. The distribution of leprosy was very heterogeneous, independent of t h e unit of analysis. There was a decrease in the rate of detection and among under-15-year-olds, but some regions maintained high endemicity during the study period. The distribution and risk of illness were directly related to living conditions of the population. Improved access to health services was associated with increased detection rate in some regions. Spatial analysis seems to be a very useful tool to study leprosy and to guide interventions and surveillance.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Spatial distribution of leprosy in Brazil: a literature review

Silva

Fonseca

Kawa

et al. 2017

Rev. Soc. Bras. Med. Trop.

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“…This method is useful because it captures spatial effects due to the influences of neighboring towns, rendering the analysis of the existence of a high transmission potential in determined areas possible, as well as the possibility of the under-registration of cases from the deduction of the random fluctuation of cases [12][13][14] .…”

Section: Discussionmentioning

confidence: 99%

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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“…Cury et al 7 encontraram relação da doença com fatores sócio-econômicos, mas não com densidade populacional, como aventado até então. Outras investigações analisam a distribuição espacial da doença em estudos descritivos e transversais, com a intenção de compreender a ocorrência geográfica da endemia e de propor ações de vigilância 31,32 . No que tange a estudos sobre a dengue, Flauzino et al 37 verificou que os setores censitários mostram heterogeneidade espacial em relação às condições de vida, que, dentro de alguns setores, há diferenciais na distribuição espacial e temporal do risco de ocorrência da dengue e que a parcela economicamente ativa foi a mais atingida na área de estudo.…”

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 Hanseníase na microrregião de Almenara, MG, Brasil

Cited by 53 publications

References 20 publications

Spatial distribution of leprosy in Brazil: a literature review

Spatial distribution of leprosy in Brazil: a literature review

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

Geoprocessamento em Saúde Pública: fundamentos e aplicações

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