Spatial analysis of distribution of dengue cases in Espírito Santo, Brazil, in 2010: use of Bayesian model.

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Spatial analysis of avoidable hospitalizations due to tuberculosis in Ribeirao Preto, SP, Brazil (2006-2012).Relative risk estimation of dengue disease at small spatial scale Spatial analysis of probable cases of dengue fever, chikungunya fever and zika virus infections in Maranhao State, Brazil

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P2860

Spatial analysis of distribution of dengue cases in Espírito Santo, Brazil, in 2010: use of Bayesian model.

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Spatial analysis of distributi ...... n 2010: use of Bayesian model.

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Carolina Maia Martins Sales

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Priscila Pagung de Aquino Lapa

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Ricardo Tristão-Sá

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Taizi Honorato

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Can human movements explain heterogeneous propagation of dengue fever in Cambodia?

[Analysis of spatial data in public health: methods, problems, and perspectives].

Population density, water supply, and the risk of dengue fever in Vietnam: cohort study and spatial analysis

Spatial patterns and socioecological drivers of dengue fever transmission in Queensland, Australia

[Spatial analysis of dengue occurrence and living conditions in Nova Iguaçu, Rio de Janeiro State, Brazil].

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

Temporal analysis of the relationship between dengue and meteorological variables in the city of Rio de Janeiro, Brazil, 2001-2009.

Spatial distribution of dengue in the city of Cruzeiro, São Paulo State, Brazil: use of geoprocessing tools.

[Dengue, geoprocessing, and socioeconomic and environmental indicators: a review].

Inference from Iterative Simulation Using Multiple Sequences

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150-159

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scholarly article

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10.1590/1809-4503201400060013

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17 Suppl 2

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Ethel Leonor Noia Maciel

Bárbara Reis-Santos

Adelmo Bertolde

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2014-01-01T00:00:00Z

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270514991

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Dengue virus

Spatial analysis of distribution of dengue cases in Espírito Santo, Brazil, in 2010: use of Bayesian model.

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P2860

P2860

Spatial analysis of distribution of dengue cases in Espírito Santo, Brazil, in 2010: use of Bayesian model.

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