Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/323510
Type: Artigo
Title: Spatial Analysis Of Counting Data With Excess Zeros Applied To The Study Of Dengue Incidence In Campinas, São Paulo State, Brazil
Title Alternative: Análise Espacial De Dados De Contagem Com Excesso De Zeros Aplicado Ao Estudo Da Incidência De Dengue Em Campinas, São Paulo, Brasil
Author: Costa J.V.
Silveira L.V.A.
Donalísio M.R.
Abstract: Dengue incidence occurs predominantly within city limits. Identifying spatial distribution of the disease at the local level helps formulate strategies to control and prevent the disease. Spatial analysis of counting data for small areas commonly violates the assumptions of traditional Poisson models due to the excessive amount of zeros. This study compared the performance of four counting models used in mapping diseases: Poisson, negative binomial, zero-inflated Poisson, and zero-inflated negative binomial. The methods were compared in a simulation study. The models analyzed in the simulation were applied to a spatial ecological study of dengue data aggregated by census tracts in the city of Campinas, São Paulo State, Brazil, 2007. Spatial analysis was conducted with Bayesian hierarchical models. The zero-inflated Poisson model showed the best performance for estimating relative risk of dengue incidence in the census tracts. © 2016, Fundacao Oswaldo Cruz. All rights reserved.
Subject: Communicable Disease Control
Dengue
Spatial Analysis
Editor: Fundacao Oswaldo Cruz
Citation: Cadernos De Saúde Pública. Fundacao Oswaldo Cruz, v. 32, n. 8, p. , 2016.
Rights: aberto
Identifier DOI: 10.1590/0102-311X00036915
Address: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84981210812&doi=10.1590%2f0102-311X00036915&partnerID=40&md5=4eb4156f58220c09e9c7f834f2e82882
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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