Literature DB >> 24005918

Spatial distribution of dengue incidence and socio-environmental conditions in Campinas, São Paulo State, Brazil, 2007.

José Vilton Costa1, Maria Rita Donalisio, Liciana Vaz de Arruda Silveira.   

Abstract

This study aimed to analyze the spatial distribution of dengue risk and its association with socio-environmental conditions. This was an ecological study of the counts of autochthonous dengue cases in the municipality of Campinas, São Paulo State, Brazil, in the year 2007, aggregated according to 47 coverage areas of municipal health centers. Spatial models for mapping diseases were constructed with Bayesian hierarchical models, based on Integrated Nested Laplace Approximation (INLA). The analyses were stratified according to two age groups, 0 to 14 years and above 14 years. The results indicate that the spatial distribution of dengue risk is not associated with socio-environmental conditions in the 0 to 14 year age group. In the age group older than 14 years, the relative risk of dengue increases significantly as the level of socio-environmental deprivation increases. Mapping of socio-environmental deprivation and dengue cases proved to be a useful tool for data analysis in dengue surveillance systems.

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Year:  2013        PMID: 24005918     DOI: 10.1590/0102-311x00110912

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


  14 in total

1.  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

2.  Socio-economic and Climate Factors Associated with Dengue Fever Spatial Heterogeneity: A Worked Example in New Caledonia.

Authors:  Magali Teurlai; Christophe Eugène Menkès; Virgil Cavarero; Nicolas Degallier; Elodie Descloux; Jean-Paul Grangeon; Laurent Guillaumot; Thérèse Libourel; Paulo Sergio Lucio; Françoise Mathieu-Daudé; Morgan Mangeas
Journal:  PLoS Negl Trop Dis       Date:  2015-12-01

3.  Socioeconomic and environmental determinants of dengue transmission in an urban setting: An ecological study in Nouméa, New Caledonia.

Authors:  Raphaël M Zellweger; Jorge Cano; Morgan Mangeas; François Taglioni; Alizé Mercier; Marc Despinoy; Christophe E Menkès; Myrielle Dupont-Rouzeyrol; Birgit Nikolay; Magali Teurlai
Journal:  PLoS Negl Trop Dis       Date:  2017-04-03

4.  Dynamic spatiotemporal analysis of indigenous dengue fever at street-level in Guangzhou city, China.

Authors:  Kangkang Liu; Yanshan Zhu; Yao Xia; Yingtao Zhang; Xiaodong Huang; Jiawei Huang; Enqiong Nie; Qinlong Jing; Guoling Wang; Zhicong Yang; Wenbiao Hu; Jiahai Lu
Journal:  PLoS Negl Trop Dis       Date:  2018-03-21

5.  Spatial Clustering of Dengue Fever Incidence and Its Association with Surrounding Greenness.

Authors:  Chi-Chieh Huang; Tuen Yee Tiffany Tam; Yinq-Rong Chern; Shih-Chun Candice Lung; Nai-Tzu Chen; Chih-Da Wu
Journal:  Int J Environ Res Public Health       Date:  2018-08-29       Impact factor: 3.390

6.  Spatiotemporal Heterogeneity in the Distribution of Chikungunya and Zika Virus Case Incidences during their 2014 to 2016 Epidemics in Barranquilla, Colombia.

Authors:  Thomas C McHale; Claudia M Romero-Vivas; Claudio Fronterre; Pedro Arango-Padilla; Naomi R Waterlow; Chad D Nix; Andrew K Falconar; Jorge Cano
Journal:  Int J Environ Res Public Health       Date:  2019-05-18       Impact factor: 3.390

7.  Demographic and clinical characteristics of chikungunya patients from six Colombian cities, 2014-2015.

Authors:  Juan C Rueda; Ana M Santos; Jose-Ignacio Angarita; Rodrigo B Giraldo; Eugenia-Lucia Saldarriaga; Jesús Giovanny Ballesteros Muñoz; Elías Forero; Hugo Valencia; Francisco Somoza; Daniel Martin-Arsanios; Elias-Josué Quintero; Viviana Reyes-Martinez; Diana Padilla; Francy M Cuervo; Ingris Peláez-Ballestas; Mario H Cardiel; Paula X Pavía; John Londono
Journal:  Emerg Microbes Infect       Date:  2019       Impact factor: 7.163

8.  Climatic and socio-economic factors supporting the co-circulation of dengue, Zika and chikungunya in three different ecosystems in Colombia.

Authors:  Jasmine Morgan; Clare Strode; J Enrique Salcedo-Sora
Journal:  PLoS Negl Trop Dis       Date:  2021-03-11

9.  Bayesian spatial and spatio-temporal approaches to modelling dengue fever: a systematic review.

Authors:  A Aswi; S M Cramb; P Moraga; K Mengersen
Journal:  Epidemiol Infect       Date:  2018-10-29       Impact factor: 2.451

10.  [Adequate solid waste management as a protection factor against dengue casesGestión adecuada de los residuos sólidos como factor de protección contra los casos de dengue].

Authors:  Marcos Paulo Gomes Mol; Josiane T Matos Queiroz; Júlia Gomes; Léo Heller
Journal:  Rev Panam Salud Publica       Date:  2020-04-09
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