Multi-objective dynamic programming for spatial cluster detection.

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dc.contributor.authorMoreira, Gladston Juliano Prates
dc.contributor.authorPaquete, Luís
dc.contributor.authorDuczmal, Luiz Henrique
dc.contributor.authorMenotti, David
dc.contributor.authorTakahashi, Ricardo Hiroshi Caldeira
dc.date.accessioned2017-03-29T18:57:37Z
dc.date.available2017-03-29T18:57:37Z
dc.date.issued2015
dc.description.abstractThe detection and inference of arbitrarily shaped spatial clusters in aggregated geographical areas is described here as a multi-objective combinatorial optimization problem. A multi-objective dynamic programming algorithm, the Geo Dynamic Scan, is proposed for this formulation, finding a collection of Pareto-optimal solutions. It takes into account the geographical proximity between areas, thus allowing a disconnected subset of aggregated areas to be included in the efficient solutions set. It is shown that the collection of efficient solutions generated by this approach contains all the solutions maximizing the spatial scan statistic. The plurality of the efficient solutions set is potentially useful to analyze variations of the most likely cluster and to investigate covariates. Numerical simulations are conducted to evaluate the algorithm. A study case with Chagas’ disease clusters in Brazil is presented, with covariate analysis showing strong correlation of disease occurrence with environmental data.pt_BR
dc.identifier.citationMOREIRA, G. J. P. et al. Multi-objective dynamic programming for spatial cluster detection. Environmental and Ecological Statistics, v. 22, n. 2, p. 369-391, jun. 2015. Disponível em: <https://link.springer.com/article/10.1007/s10651-014-0302-7>. Acesso em: 29 mar. 2017.pt_BR
dc.identifier.doihttps://doi.org/10.1007/s10651-014-0302-7
dc.identifier.issn1573-3009
dc.identifier.urihttp://www.repositorio.ufop.br/handle/123456789/7491
dc.identifier.uri2https://link.springer.com/article/10.1007/s10651-014-0302-7pt_BR
dc.language.isoen_USpt_BR
dc.rightsrestritopt_BR
dc.subjectArbitrarily shaped spatial clusterpt_BR
dc.subjectChagas’ diseasept_BR
dc.subjectDynamic programmingpt_BR
dc.subjectMulti-objective optimizationpt_BR
dc.subjectSpatial scan statisticpt_BR
dc.titleMulti-objective dynamic programming for spatial cluster detection.pt_BR
dc.typeArtigo publicado em periodicopt_BR
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