Literature DB >> 10738148

[Spatial analysis of Aedes aegypti larval distribution in the Ilha do Governador neighborhood of Rio de Janeiro, Brazil].

R Souza-Santos1, M S Carvalho.   

Abstract

This study aims to help expand knowledge on Aedes aegypti in Rio de Janeiro, based on spatial analysis of the mosquito's breeding sites in the neighborhood of Ilha do Governador, Rio de Janeiro, from June 1992 to July 1994. Use of spatial analysis techniques is proposed for vector surveillance and control. Information obtained from the number of dwellings per block that were used for the analysis. A smoothing method, a Gaussian Kernel, was used in the spatial distribution analysis. Breaks in National Health Foundation intervention activities were observed between cycles 4 and 5 and 5 and 6, respectively, followed by increases in vector density and vector-positive areas. Permanently positive areas, like slums and a military compound, display the persistence of favorable environmental conditions for oviposition and larval growth, indicating flaws in the vector control program. Although Kernel is an exploratory analytical method involving subjective interpretation, it provides easy and fast visualization of sites subject to different degrees of risk, unaffected by existing political and administrative territorial apportionment.

Entities:  

Mesh:

Year:  2000        PMID: 10738148     DOI: 10.1590/s0102-311x2000000100004

Source DB:  PubMed          Journal:  Cad Saude Publica        ISSN: 0102-311X            Impact factor:   1.632


  9 in total

1.  Mosquito-producing containers, spatial distribution, and relationship between Aedes aegypti population indices on the southern boundary of its distribution in South America (Salto, Uruguay).

Authors:  César Basso; Ruben M Caffera; Elsa García da Rosa; Rosario Lairihoy; Cristina González; Walter Norbis; Ingrid Roche
Journal:  Am J Trop Med Hyg       Date:  2012-11-05       Impact factor: 2.345

2.  Spatial stability of adult Aedes aegypti populations.

Authors:  Roberto Barrera
Journal:  Am J Trop Med Hyg       Date:  2011-12       Impact factor: 2.345

3.  Improved dengue fever prevention through innovative intervention methods in the city of Salto, Uruguay.

Authors:  César Basso; Elsa García da Rosa; Sonnia Romero; Cristina González; Rosario Lairihoy; Ingrid Roche; Ruben M Caffera; Ricardo da Rosa; Marisel Calfani; Eduardo Alfonso-Sierra; Max Petzold; Axel Kroeger; Johannes Sommerfeld
Journal:  Trans R Soc Trop Med Hyg       Date:  2015-02       Impact factor: 2.184

4.  Genetic variability and spatial distribution in small geographic scale of Aedes aegypti (Diptera: Culicidae) under different climatic conditions in Northeastern Brazil.

Authors:  Lizandra Makowski Steffler; Silvio Santana Dolabella; Paulo Eduardo Martins Ribolla; Carine Spenassatto Dreyer; Edilson Divino Araújo; Rosane Gomes Oliveira; Walter Fabrício Silva Martins; Roseli La Corte
Journal:  Parasit Vectors       Date:  2016-10-04       Impact factor: 3.876

5.  Scaling Up of an Innovative Intervention to Reduce Risk of Dengue, Chikungunya, and Zika Transmission in Uruguay in the Framework of an Intersectoral Approach with and without Community Participation.

Authors:  César Basso; Elsa García da Rosa; Rosario Lairihoy; Ruben M Caffera; Ingrid Roche; Cristina González; Ricardo da Rosa; Alexis Gularte; Eduardo Alfonso-Sierra; Max Petzold; Axel Kroeger; Johannes Sommerfeld
Journal:  Am J Trop Med Hyg       Date:  2017-08-18       Impact factor: 2.345

Review 6.  Use of mapping and spatial and space-time modeling approaches in operational control of Aedes aegypti and dengue.

Authors:  Lars Eisen; Saul Lozano-Fuentes
Journal:  PLoS Negl Trop Dis       Date:  2009-04-28

7.  Spatial point analysis based on dengue surveys at household level in central Brazil.

Authors:  João B Siqueira-Junior; Ivan J Maciel; Christovam Barcellos; Wayner V Souza; Marilia S Carvalho; Nazareth E Nascimento; Renato M Oliveira; Otaliba Morais-Neto; Celina M T Martelli
Journal:  BMC Public Health       Date:  2008-10-20       Impact factor: 3.295

8.  Association among house infestation index, dengue incidence, and sociodemographic indicators: surveillance using geographic information system.

Authors:  Waldemir Paixão Vargas; Hélia Kawa; Paulo Chagastelles Sabroza; Valdenir Bandeira Soares; Nildimar Alves Honório; Andréa Sobral de Almeida
Journal:  BMC Public Health       Date:  2015-08-05       Impact factor: 3.295

9.  Spatial distribution of the risk of dengue and the entomological indicators in Sumaré, state of São Paulo, Brazil.

Authors:  Gerson Laurindo Barbosa; Maria Rita Donalísio; Celso Stephan; Roberto Wagner Lourenço; Valmir Roberto Andrade; Marylene de Brito Arduino; Virgilia Luna Castor de Lima
Journal:  PLoS Negl Trop Dis       Date:  2014-05-15
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.