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http://repositorio.ufla.br/jspui/handle/1/34679| Title: | Técnicas da estatística espacial na analise de dados de áreas no estudo da dengue |
| Other Titles: | Spatial statistics techniques in data analysis of areas in the study of dengue |
| Keywords: | Estatística espacial Sistema de Informação Geográfica (SIG) Cluster Máxima verossimilhança Dengue Spatial statistics Maximum likelihood |
| Issue Date: | Jul-2018 |
| Publisher: | Universidade do Vale do Paraiba |
| Citation: | FERREIRA, L. M.; SÁFADI, T.; LIMA, R. R. de. Técnicas da estatística espacial na analise de dados de áreas no estudo da dengue. Revista Univap, São José dos Campos, v. 24, n. 44, jul. 2018. |
| Abstract: | Spatial analysis has been highlighted in the literature offering quantitative criteria for the grouping and dispersion of data, allowing, among other things, the determination of the spatial dependence among observations, as well as the identification of regions in which the disease under study presents a similar behavior. In this work, different spatial statistics techniques were used in the data analysis of areas, aiming to find the best analysis technique. To illustrate the methodology, we analyzed the cases of dengue that occurred in the city of Lavras - MG, between 2007 and 2010. This period corresponds to the first outbreak of the disease registered in the city. The results of the research pointed to the statistic Space-Temporal Scan as the best technique, whose advantages include the possibility to locate the areas of greater risk of epidemic outbreak. |
| URI: | https://revista.univap.br/index.php/revistaunivap/article/view/1920 http://repositorio.ufla.br/jspui/handle/1/34679 |
| Appears in Collections: | DES - Artigos publicados em periódicos |
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