Please use this identifier to cite or link to this item: https://www.arca.fiocruz.br/handle/icict/25677
Title: Using kernel density estimates to investigate lymphatic filariasis in northeast Brazil
Authors: Medeiros, Zulma
Bonfim, Cristine
Brandão, Eduardo
Netto, Maria José Evangelista
Vasconcellos, Lucia
Ribeiro, Liany
Portugal, Joséluiz
Affilliation: Fundação Oswaldo Cruz. Rio de Janeiro, RJ, Brazil.
Joaquin Nabuco Foundation. Recife, PE, Brazil.
Fundação Oswaldo Cruz. Rio de Janeiro, RJ, Brazil.
Secretary of Health of Recife. Recife, PE, Brazil / Secretary of Health of Jaboatão dos Guararapes. Jaboatão dos Guararapes, PE, Brazil.
Secretary of Health of Jaboatão dos Guararapes. Jaboatão dos Guararapes, PE, Brazil.
Federal University of Pernambuco. Recife, PE, Brazil.
Federal University of Pernambuco. Recife, PE, Brazil.
Abstract: After more than 10 years of the Global Program to Eliminate Lymphatic Filariasis (GPELF) in Brazil, advances have been seen, but the endemic disease persists as a public health problem. The aim of this study was to describe the spatial distribution of lymphatic filariasis in the municipality of Jaboatão dos Guararapes, Pernambuco, Brazil. An epidemiological survey was conducted in the municipality, and positive filariasis cases identified in this survey were georeferenced in point form, using the GPS. A kernel intensity estimator was applied to identify clusters with greater intensity of cases. We examined 23 673 individuals and 323 individuals with microfilaremia were identified, representing a mean prevalence rate of 1·4%. Around 88% of the districts surveyed presented cases of filarial infection, with prevalences of 0-5·6%. The male population was more affected by the infection, with 63·8% of the cases (P<0·005). Positive cases were found in all age groups examined. The kernel intensity estimator identified the areas of greatest intensity and least intensity of filarial infection cases. The case distribution was heterogeneous across the municipality. The kernel estimator identified spatial clusters of cases, thus indicating locations with greater intensity of transmission. The main advantage of this type of analysis lies in its ability to rapidly and easily show areas with the highest concentration of cases, thereby contributing towards planning, monitoring, and surveillance of filariasis elimination actions. Incorporation of geoprocessing and spatial analysis techniques constitutes an important tool for use within the GPELF.
Keywords: Epidemiology
Filariasis
Geographic information systems
Spatial analysis
Health surveillance
keywords: Epidemiologia
Filariose
Sistemas de informação geográfica
Análise espacial
Vigilância sanitária
DeCS: Adolescente
Adulto
Distribuição de idade
Envelhecido
Idoso, 80 anos ou mais
Brasil / epidemiologia
Criança
Criança, pré-escolar
Análise de Cluster
Elefantíase, filarial / epidemiologia
Doenças endêmicas
Fêmea
Sistemas de Informação Geográfica
Humanos
Infantil
Masculino
Meia idade
Prevalência
Distribuição Sexual
Topografia Médica
Adulto jovem
Issue Date: 2012
Citation: MEDEIROS, Z. et al. Using kernel density estimates to investigate lymphatic filariasis in northeast Brazil. Pathogens and Global Health, v. 106, n. 2, p. 113–117, maio 2012.
DOI: 10.1179/2047773212Y.0000000008
ISSN: 2047-7732
Copyright: restricted access
Appears in Collections:PE - IAM - Artigos de Periódicos

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