Literature DB >> 17243024

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

Maria Cristina de Mattos Almeida1, Waleska Teixeira Caiaffa, Renato Martins Assunção, Fernando Augusto Proietti.   

Abstract

This study considers the vulnerability of the urban area of the City of Belo Horizonte to dengue. A total number of 89,607 cases registered in the surveillance system from 1996 to 2002 were analyzed. Seven epidemic waves were identified during this period. Cases were grouped into 2,563 census areas, and three risk categories were proposed based on how many times each area reached a threshold established for each epidemic wave. The association between the risk categories and the socioeconomic, demographic and urban-infrastructure characteristics was evaluated. Analysis included Kruskal-Wallis test variance comparisons and multivariate regression using multinomial models. Incidence rates differed significantly among the three risk categories in most of the epidemic waves. The factors that best characterized the areas were low educational level (< or =4 years of schooling), low income of the head of the family (< or =2 minimum wages per household), household density, and proportion of children and elderly women. Information related to basic sanitation was not enough to discriminate levels of susceptibility to dengue, and study of population density and concentration of establishments considered vulnerable to vector infestation yielded questionable results. It is important to consider different levels of exposure of the population to explain the heterogeneous pattern of distribution of dengue cases in an urban setting. Understanding the dynamics of dengue fever is essential for surveillance purposes, to improve control measures and to avoid epidemics of this disease.

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Year:  2007        PMID: 17243024      PMCID: PMC2231833          DOI: 10.1007/s11524-006-9154-2

Source DB:  PubMed          Journal:  J Urban Health        ISSN: 1099-3460            Impact factor:   3.671


  13 in total

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Review 3.  Dengue and dengue hemorrhagic fever epidemics in Brazil: what research is needed based on trends, surveillance, and control experiences?

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  38 in total

Review 1.  Geographical information systems for dengue surveillance.

Authors:  Jennifer Duncombe; Archie Clements; Wenbiao Hu; Philip Weinstein; Scott Ritchie; Fe Esperanza Espino
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Review 2.  The many projected futures of dengue.

Authors:  Jane P Messina; Oliver J Brady; David M Pigott; Nick Golding; Moritz U G Kraemer; Thomas W Scott; G R William Wint; David L Smith; Simon I Hay
Journal:  Nat Rev Microbiol       Date:  2015-03-02       Impact factor: 60.633

Review 3.  Urban inequities; urban rights: a conceptual analysis and review of impacts on children, and policies to address them.

Authors:  Carolyn Stephens
Journal:  J Urban Health       Date:  2012-06       Impact factor: 3.671

4.  Geographic information systems (GIS) in assessing dental health.

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Journal:  Int J Environ Res Public Health       Date:  2010-05-25       Impact factor: 3.390

5.  Seroprevalence and risk factors for dengue infection in socio-economically distinct areas of Recife, Brazil.

Authors:  Cynthia Braga; Carlos Feitosa Luna; Celina Mariaturchi Martelli; Wayner Vieira de Souza; Marli Tenório Cordeiro; Neal Alexander; Maria de Fátima Pessoa Militão de Albuquerque; José Constantino Silveira Júnior; Ernesto T Marques
Journal:  Acta Trop       Date:  2009-11-06       Impact factor: 3.112

6.  Dengue outbreaks in high-income area, Kaohsiung City, Taiwan, 2003-2009.

Authors:  Chia-Hsien Lin; Karin L Schiøler; Martin R Jepsen; Chi-Kung Ho; Shu-Hua Li; Flemming Konradsen
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7.  Spatial distribution of the risk of dengue fever in southeast Brazil, 2006-2007.

Authors:  Ricardo Cordeiro; Maria R Donalisio; Valmir R Andrade; Ana C N Mafra; Luciana B Nucci; John C Brown; Celso Stephan
Journal:  BMC Public Health       Date:  2011-05-20       Impact factor: 3.295

8.  Spatial clusters of violent deaths in a newly urbanized region of Brazil: highlighting the social disparities.

Authors:  Ruth Minamisava; Simonne S Nouer; Otaliba L de Morais Neto; Lícia Kamila Melo; Ana Lucia S S Andrade
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9.  Assessing socioeconomic vulnerability to dengue fever in Cali, Colombia: statistical vs expert-based modeling.

Authors:  Michael Hagenlocher; Eric Delmelle; Irene Casas; Stefan Kienberger
Journal:  Int J Health Geogr       Date:  2013-08-14       Impact factor: 3.918

10.  Dengue fever occurrence and vector detection by larval survey, ovitrap and MosquiTRAP: a space-time clusters analysis.

Authors:  Diogo Portella Ornelas de Melo; Luciano Rios Scherrer; Álvaro Eduardo Eiras
Journal:  PLoS One       Date:  2012-07-25       Impact factor: 3.240

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