&lt;a name="topo"&gt;&lt;/a&gt;Organização espacial, saúde e qualidade de vida: análise espacial e uso de indicadores na avaliação de situações de saúde

Barcellos, Christovam; Sabroza, Paulo Chagastelles; Peiter, Paulo Cesar; Rojas, Luisa Iñíguez

doi:10.5123/s0104-16732002000300003

Cited by 81 publications

(89 citation statements)

References 19 publications

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“…Different spatial scales were taken into account, usually with geographic and administrative references, such as states and administrative districts. Other potential spatial units of data aggregation are the census sector, neighborhood, hydrographical basin, and sanitary district 12 .…”

Section: Introductionmentioning

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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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: Introductionmentioning

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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“…1 According to Barcellos et al, 1 public health and environment are extensively influenced by space occupation patterns, thus justifying the incorporation of spatial analysis for supporting the administrators of the Brazilian National Health System (SUS -Sistema Único de Saúde).…”

Section: Introductionmentioning

confidence: 99%

Análise geoestatística de casos de hanseníase no Estado de São Paulo, 1991-2002

2006

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OBJECTIVE:To analyze the spatial pattern of leprosy case occurrences in order to identify areas with a probability of disease transmission risks. METHODS:This was an ecological study in which the analysis units were municipalities in the State of São Paulo that were georeferenced at their centroids. The data source was the electronic database of notified leprosy cases at the Epidemiological Surveillance Center of the State of São Paulo, from 1991 to 2001. Geostatistical techniques were used for detecting areas with a probability of leprosy risk, and for quantifying the spatial dependency of cases. RESULTS:The spatial dependence detected extended outwards to 0.55 degrees from the georeferenced coordinates, which corresponded to approximately 60 km. The main areas identified as presenting a probability of risk were the northeastern, northern and northwestern regions of the State. CONCLUSIONS:Verification of areas with the probability of leprosy risk using spatial dependence analysis may be a useful tool for assessing health conditions and planning budget allocations.

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“…A cross-sectional analytical study was performed between October 2008 and March 2009 at the vegetable farming community of Natuba, district of the municipality of Vitória de Santo Antão-PE, located in the Zona da Mata of the state of Pernambuco, 45.1 kilometers from Recife, with a population of 896 inhabitants 8 . The referred community is crossed by the Natuba River, downstream to the South portion of the community, part of the Tapacurá water basin.…”

Section: Methodsmentioning

confidence: 99%

“…Endemic diseases such as schistosomiasis mansoni are chronic in individuals infested at sites where the health status is a manifestation of unhealthy environments 7 . The space-time approach considers that sites have historical, social and political inheritances, and thus persisting endemic diseases may be represented by risky cultural practices molded throughout a long process of absence of health care 8 .…”

Section: Introductionmentioning

confidence: 99%

Análise espacial dos casos humanos de esquistossomose em uma comunidade horticultora da Zona da Mata de Pernambuco, Brasil

Neto

Galvão

Esteves³

et al. 2012

Rev. bras. epidemiol.

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O objetivo deste trabalho foi descrever a distribuição espacial da esquistossomose na comunidade horticultora de Natuba, Vitória de Santo Antão, Pernambuco. Foi conduzido um inquérito parasitológico, onde foi examinado o material fecal de 310 moradores da comunidade. Os casos positivos para Schistosoma mansoni foram georreferenciados e incluídos no croqui da localidade, gerando os mapas de distribuição espacial com estimadores de kernel. Os resultados apresentaram uma alta prevalência para esquistossomose, com 28,4% da população parasitada. Outros parasitos foram encontrados em 25,8% da população. O uso das ferramentas de geoprocessamento permitiu mapear e compreender a distribuição dos casos de esquistossomose no espaço ocupado pela comunidade, destacando e relacionando locais de menor altitude (passíveis de alagamento), com uma maior frequência de casos humanos. Estudos como este fornecem informações para que os serviços de saúde local possam intervir e promover mudanças para que indivíduos residentes em áreas com baixas condições habitacionais minimizem sua exposição ao risco de contrair a esquistossomose.

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<a name="topo"></a>Organização espacial, saúde e qualidade de vida: análise espacial e uso de indicadores na avaliação de situações de saúde

Cited by 81 publications

References 19 publications

Spatial distribution of leprosy in Brazil: a literature review

Spatial distribution of leprosy in Brazil: a literature review

Análise geoestatística de casos de hanseníase no Estado de São Paulo, 1991-2002

Análise espacial dos casos humanos de esquistossomose em uma comunidade horticultora da Zona da Mata de Pernambuco, Brasil

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