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2050-01-01
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SPATIAL ANALYSIS OF REPORTED NEW CASES AND LOCAL RISK OF LEPROSY IN HYPER-ENDEMIC SITUATION IN NORTHEASTERN BRAZIL
Brasil / epidemiologia
Criança
Criança, pré-escolar
Doenças Endêmicas
Fêmea
Humanos
Incidência
Recém-Nascido
Hanseníase / epidemiologia
Masculino
Fatores de risco
Análise espaço-temporal
Author
Affilliation
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Departamento de Saúde Coletiva. Recife, PE, Brasil / First Health District of the State Health Department of Pernambuco. Department of Epidemiological Surveillance. Recife, PE, Brazil.
Federal University of Pernambuco. Postgraduate Program in Public Health. Recife, PE, Brazil.
First Health District of the State Health Department of Pernambuco. Department of Epidemiological Surveillance. Recife, PE, Brazil / University of Pernambuco. Postgraduate Health Sciences. Recife, PE, Brazil.
First Health District of the State Health Department of Pernambuco. Department of Epidemiological Surveillance. Recife, PE, Brazil.
University of Pernambuco. Postgraduate Health Sciences. Recife, PE, Brazil.
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Departamento de Núcleo de Estatística e Geoprocessamento. Recife, PE, Brasil.
Federal University of Pernambuco. Department of Cartographic Engineering. Recife, PE, Brazil.
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Departamento de Parasitologia. Recife, PE, Brasil.
Federal University of Pernambuco. Postgraduate Program in Public Health. Recife, PE, Brazil.
First Health District of the State Health Department of Pernambuco. Department of Epidemiological Surveillance. Recife, PE, Brazil / University of Pernambuco. Postgraduate Health Sciences. Recife, PE, Brazil.
First Health District of the State Health Department of Pernambuco. Department of Epidemiological Surveillance. Recife, PE, Brazil.
University of Pernambuco. Postgraduate Health Sciences. Recife, PE, Brazil.
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Departamento de Núcleo de Estatística e Geoprocessamento. Recife, PE, Brasil.
Federal University of Pernambuco. Department of Cartographic Engineering. Recife, PE, Brazil.
Fundação Oswaldo Cruz. Instituto Aggeu Magalhães. Departamento de Parasitologia. Recife, PE, Brasil.
Abstract
To analyse the spatial distribution of the incidence of leprosy and identify areas at risk for occurrences of hyper-endemic disease in Northeastern Brazil. METHODS: Ecological study using municipalities as the analysis unit. Data on new cases of leprosy came from the Health Hazard Notification System (SINAN). This study focused on Pernambuco and covered the years 2005 to 2014. Indicators for monitoring were calculated per 100 000 inhabitants. The local empirical Bayes method was used to minimise rate variance, and spatial autocorrelation maps were used for spatial pattern analysis (box maps and Moran maps).
RESULTS: A total of 28 895 new cases were registered in the study period. The average incidence was 21.88/100 000; the global Moran's I index was 0.36 (P < 0.01), thus indicating the existence of spatial dependence; and the Moran map identified 20 municipalities with high priority for attention. The average incidence rate among individuals under 15 years of age was 8.78/100 000; the global Moran's I index showed the presence of positive spatial autocorrelation (0.43; P < 0.01), and the Moran map showed a main cluster of 15 hyper-endemic municipalities. The average rate of grade 2 physical disability at the time of diagnosis was 1.12/100 000; the global Moran index presented a positive spatial association (0.17; P < 0.01); and the Moran map located clusters of municipalities (high-high) in three mesoregions.
CONCLUSION: Application of different spatial analysis methods made it possible to locate areas that would not have been identified by epidemiological indicators alone.
DeCS
AdolescenteBrasil / epidemiologia
Criança
Criança, pré-escolar
Doenças Endêmicas
Fêmea
Humanos
Incidência
Recém-Nascido
Hanseníase / epidemiologia
Masculino
Fatores de risco
Análise espaço-temporal
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