OBJECTIVE: To evaluate composite living conditions as indicators of urban areas with a higher risk of filariasis transmission. METHODS: This was an ecological study in the municipality of Jaboatão dos Guararapes, in Brazil. The analysis units were census tracts. The study was divided into three phases. First, data gathered during an epidemiological investigation were analysed. Secondly, living condition indicators were drawn up and the relationship between these indicators and microfilaremia prevalence rates was analysed. Thirdly, positive cases were georeferenced with a view to identifying spatial concentration using kernel intensity estimates. Two composite living condition indicators were calculated: a socio-environmental risk index (in the form of scores) and a social deprivation index (through principal-component factor analysis). RESULTS: Of 23,673 individuals examined, 1.4% had microfilaremia. According to the two indicators, greater prevalence was found in the high-risk strata, and this association was confirmed by the kernel intensity estimates. CONCLUSIONS: Classification of census tracts into risk strata showed the relevance of socio-economic factors and environmental conditions in identifying priority areas in urban spaces for interventions by the surveillance services and in planning filariasis control. Spatial analysis also proved to be an important tool for building up a territorially based surveillance system. These indicators, used in association with spatial analysis, are an instrument to be used by the Global Programme to Eliminate Lymphatic Filariasis.
OBJECTIVE: To evaluate composite living conditions as indicators of urban areas with a higher risk of filariasis transmission. METHODS: This was an ecological study in the municipality of Jaboatão dos Guararapes, in Brazil. The analysis units were census tracts. The study was divided into three phases. First, data gathered during an epidemiological investigation were analysed. Secondly, living condition indicators were drawn up and the relationship between these indicators and microfilaremia prevalence rates was analysed. Thirdly, positive cases were georeferenced with a view to identifying spatial concentration using kernel intensity estimates. Two composite living condition indicators were calculated: a socio-environmental risk index (in the form of scores) and a social deprivation index (through principal-component factor analysis). RESULTS: Of 23,673 individuals examined, 1.4% had microfilaremia. According to the two indicators, greater prevalence was found in the high-risk strata, and this association was confirmed by the kernel intensity estimates. CONCLUSIONS: Classification of census tracts into risk strata showed the relevance of socio-economic factors and environmental conditions in identifying priority areas in urban spaces for interventions by the surveillance services and in planning filariasis control. Spatial analysis also proved to be an important tool for building up a territorially based surveillance system. These indicators, used in association with spatial analysis, are an instrument to be used by the Global Programme to Eliminate Lymphatic Filariasis.
Authors: Gilberto Fontes; Anderson Brandão Leite; Ana Rachel Vasconcelos de Lima; Helen Freitas; John Patrick Ehrenberg; Eliana Maria Mauricio da Rocha Journal: Parasit Vectors Date: 2012-11-26 Impact factor: 3.876
Authors: Mbutolwe E Mwakitalu; Mwelecele N Malecela; Erling M Pedersen; Franklin W Mosha; Paul E Simonsen Journal: Parasit Vectors Date: 2013-09-30 Impact factor: 3.876
Authors: Paula Moraga; Jorge Cano; Rebecca F Baggaley; John O Gyapong; Sammy M Njenga; Birgit Nikolay; Emmanuel Davies; Maria P Rebollo; Rachel L Pullan; Moses J Bockarie; T Déirdre Hollingsworth; Manoj Gambhir; Simon J Brooker Journal: Parasit Vectors Date: 2015-10-24 Impact factor: 3.876