Author | Medeiros, Zulma | |
Author | Bonfim, Cristine | |
Author | Brandão, Eduardo | |
Author | Netto, Maria José Evangelista | |
Author | Vasconcellos, Lucia | |
Author | Ribeiro, Liany | |
Author | Portugal, Joséluiz | |
Access date | 2018-04-09T13:27:14Z | |
Available date | 2018-04-09T13:27:14Z | |
Document 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. | pt_BR |
ISSN | 2047-7732 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/25677 | |
Language | eng | pt_BR |
Rights | restricted access | pt_BR |
Subject in Portuguese | Epidemiologia | pt_BR |
Subject in Portuguese | Filariose | pt_BR |
Subject in Portuguese | Sistemas de informação geográfica | pt_BR |
Subject in Portuguese | Análise espacial | pt_BR |
Subject in Portuguese | Vigilância sanitária | pt_BR |
Title | Using kernel density estimates to investigate lymphatic filariasis in northeast Brazil | pt_BR |
Type | Article | pt_BR |
DOI | 10.1179/2047773212Y.0000000008 | |
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. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Rio de Janeiro, RJ, Brazil. | pt_BR |
Affilliation | Joaquin Nabuco Foundation. Recife, PE, Brazil. | pt_BR |
Affilliation | Fundação Oswaldo Cruz. Rio de Janeiro, RJ, Brazil. | pt_BR |
Affilliation | Secretary of Health of Recife. Recife, PE, Brazil / Secretary of Health of Jaboatão dos Guararapes. Jaboatão dos Guararapes, PE, Brazil. | pt_BR |
Affilliation | Secretary of Health of Jaboatão dos Guararapes. Jaboatão dos Guararapes, PE, Brazil. | pt_BR |
Affilliation | Federal University of Pernambuco. Recife, PE, Brazil. | pt_BR |
Affilliation | Federal University of Pernambuco. Recife, PE, Brazil. | pt_BR |
Subject | Epidemiology | pt_BR |
Subject | Filariasis | pt_BR |
Subject | Geographic information systems | pt_BR |
Subject | Spatial analysis | pt_BR |
Subject | Health surveillance | pt_BR |
DeCS | Adolescente | pt_BR |
DeCS | Adulto | pt_BR |
DeCS | Distribuição de idade | pt_BR |
DeCS | Envelhecido | pt_BR |
DeCS | Idoso, 80 anos ou mais | pt_BR |
DeCS | Brasil / epidemiologia | pt_BR |
DeCS | Criança | pt_BR |
DeCS | Criança, pré-escolar | pt_BR |
DeCS | Análise de Cluster | pt_BR |
DeCS | Elefantíase, filarial / epidemiologia | pt_BR |
DeCS | Doenças endêmicas | pt_BR |
DeCS | Fêmea | pt_BR |
DeCS | Sistemas de Informação Geográfica | pt_BR |
DeCS | Humanos | pt_BR |
DeCS | Infantil | pt_BR |
DeCS | Masculino | pt_BR |
DeCS | Meia idade | pt_BR |
DeCS | Prevalência | pt_BR |
DeCS | Distribuição Sexual | pt_BR |
DeCS | Topografia Médica | pt_BR |
DeCS | Adulto jovem | pt_BR |
Embargo date | 2050-01-01 | |