Literature DB >> 15895177

[Identification of places with potential transmission of dengue fever in Porto Alegre using Geographical Information Systems].

Christovam Barcellos1, Adelaide Kreutz Pustai, Maria Angélica Weber, Maria Regina Varnieri Brito.   

Abstract

The social-environmental conditions that promote the continuity of Aedes aegypti in urban areas and its capacity for dengue transmission have yet to be determined. The aim of this work was to locate dengue cases and vector presence, then to identify social-environmental factors that characterize these sites, through Geographical Information Systems (GIS), with a view to developing a dengue fever prevention model. The vector was mainly located in south and east areas of the city, with a broad dispersion, while most of the cases were located in the central region of the city. The sectors with cases present characteristics of high income. Otherwise, sectors with vector present a predominance of houses and good sanitation infrastructure. The difference between cases and vector spatial patterns ensured for 2002 an absence of dengue transmission in the city.

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Year:  2005        PMID: 15895177     DOI: 10.1590/s0037-86822005000300008

Source DB:  PubMed          Journal:  Rev Soc Bras Med Trop        ISSN: 0037-8682            Impact factor:   1.581


  10 in total

1.  Spatial vulnerability to dengue in a Brazilian urban area during a 7-year surveillance.

Authors:  Maria Cristina de Mattos Almeida; Waleska Teixeira Caiaffa; Renato Martins Assunção; Fernando Augusto Proietti
Journal:  J Urban Health       Date:  2007-05       Impact factor: 3.671

2.  Spatial Distribution of Dengue in a Brazilian Urban Slum Setting: Role of Socioeconomic Gradient in Disease Risk.

Authors:  Mariana Kikuti; Geraldo M Cunha; Igor A D Paploski; Amelia M Kasper; Monaise M O Silva; Aline S Tavares; Jaqueline S Cruz; Tássia L Queiroz; Moreno S Rodrigues; Perla M Santana; Helena C A V Lima; Juan Calcagno; Daniele Takahashi; André H O Gonçalves; Josélio M G Araújo; Kristine Gauthier; Maria A Diuk-Wasser; Uriel Kitron; Albert I Ko; Mitermayer G Reis; Guilherme S Ribeiro
Journal:  PLoS Negl Trop Dis       Date:  2015-07-21

3.  Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012.

Authors:  Silvia Carvalho; Mônica de Avelar Figueiredo Mafra Magalhães; Roberto de Andrade Medronho
Journal:  Rev Saude Publica       Date:  2017-08-17       Impact factor: 2.106

4.  Risk factors for arbovirus infections in a low-income community of Rio de Janeiro, Brazil, 2015-2016.

Authors:  Nádia Cristina Pinheiro Rodrigues; Regina Paiva Daumas; Andrea Sobral de Almeida; Reinaldo Souza Dos Santos; Isabella Koster; Pedro Pinheiro Rodrigues; Marcelly de Freitas Gomes; Auriane de Fátima Macedo; Alyssa Gerardi; Iúri da Costa Leite
Journal:  PLoS One       Date:  2018-06-07       Impact factor: 3.240

5.  Quantifying the spatial spread of dengue in a non-endemic Brazilian metropolis via transmission chain reconstruction.

Authors:  Giorgio Guzzetta; Cecilia A Marques-Toledo; Roberto Rosà; Mauro Teixeira; Stefano Merler
Journal:  Nat Commun       Date:  2018-07-19       Impact factor: 14.919

6.  Effectiveness of Ultra-Low Volume insecticide spraying to prevent dengue in a non-endemic metropolitan area of Brazil.

Authors:  Giovanni Marini; Giorgio Guzzetta; Cecilia A Marques Toledo; Mauro Teixeira; Roberto Rosà; Stefano Merler
Journal:  PLoS Comput Biol       Date:  2019-03-08       Impact factor: 4.475

7.  Spread pattern of the first dengue epidemic in the city of Salvador, Brazil.

Authors:  Florisneide R Barreto; Maria Gloria Teixeira; Maria da Conceição N Costa; Marilia S Carvalho; Mauricio L Barreto
Journal:  BMC Public Health       Date:  2008-02-07       Impact factor: 3.295

8.  Classification of containers with Aedes aegypti pupae using a Neural Networks model.

Authors:  Roberto de Andrade Medronho; Volney de Magalhães Câmara; Leonardo Macrini
Journal:  PLoS Negl Trop Dis       Date:  2018-07-23

9.  Spatiotemporal dynamics, risk areas and social determinants of dengue in Northeastern Brazil, 2014-2017: an ecological study.

Authors:  Rodrigo Feliciano do Carmo; José Valter Joaquim Silva Júnior; Andre Filipe Pastor; Carlos Dornels Freire de Souza
Journal:  Infect Dis Poverty       Date:  2020-11-03       Impact factor: 4.520

10.  Geographical information system and spatial-temporal statistics for monitoring infectious agents in hospital: a model using Klebsiella pneumoniae complex.

Authors:  Priscila Pinho da Silva; Fabiola A da Silva; Caio Augusto Santos Rodrigues; Leonardo Passos Souza; Elisangela Martins de Lima; Maria Helena B Pereira; Claudio Neder Candella; Marcio Zenaide de Oliveira Alves; Newton D Lourenço; Wagner S Tassinari; Christovam Barcellos; Marisa Zenaide Ribeiro Gomes
Journal:  Antimicrob Resist Infect Control       Date:  2021-06-16       Impact factor: 4.887

  10 in total

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