{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,18]],"date-time":"2026-07-18T06:46:34Z","timestamp":1784357194398,"version":"3.55.0"},"reference-count":48,"publisher":"Wiley","issue":"3-4","license":[{"start":{"date-parts":[[2025,1,24]],"date-time":"2025-01-24T00:00:00Z","timestamp":1737676800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"funder":[{"DOI":"10.13039\/501100002850","name":"Fondo Nacional de Desarrollo Cient\u00edfico y Tecnol\u00f3gico","doi-asserted-by":"publisher","award":["1220017"],"award-info":[{"award-number":["1220017"]}],"id":[{"id":"10.13039\/501100002850","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Statistics in Medicine"],"published-print":{"date-parts":[[2025,2,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title><jats:p>More than half of the world's population is exposed to mosquito\u2010borne diseases, leading to millions of cases and hundreds of thousands of deaths every year. Analyzing this type of data is complex and poses several interesting challenges, mainly due to the usually vast geographic area involved, the peculiar temporal behavior, and the potential correlation between infections. Motivation for this work stems from the analysis of tropical disease data, namely, the number of cases of dengue and chikungunya, for the 145 microregions in Southeast Brazil from 2018 to 2022. As a contribution to the literature on multivariate disease data, we develop a flexible Bayesian multivariate spatio\u2010temporal model where temporal dependence is defined for areal clusters. The model features a prior distribution for the random partition of areal data that incorporates neighboring information. It also incorporates an autoregressive structure and terms related to seasonal patterns into temporal components that are disease\u2010 and cluster\u2010specific. Furthermore, it considers a multivariate directed acyclic graph autoregressive structure to accommodate spatial and inter\u2010disease dependence. We explore the properties of the model through simulation studies and show results that prove our proposal compares well to competing alternatives. Finally, we apply the model to the motivating dataset with a twofold goal: finding clusters of areas with similar temporal trends for some of the diseases and exploring the existence of correlation between two diseases transmitted by the same mosquito.<\/jats:p>","DOI":"10.1002\/sim.10325","type":"journal-article","created":{"date-parts":[[2025,1,24]],"date-time":"2025-01-24T12:08:06Z","timestamp":1737720486000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["A Bayesian Multivariate Model With Temporal Dependence on Random Partition of Areal Data for Mosquito\u2010Borne Diseases"],"prefix":"10.1002","volume":"44","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9613-2400","authenticated-orcid":false,"given":"Jessica","family":"Pavani","sequence":"first","affiliation":[{"name":"Departamento de Estad\u00edstica Pontificia Universidad Cat\u00f3lica de Chile  Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fernando Andr\u00e9s","family":"Quintana","sequence":"additional","affiliation":[{"name":"Departamento de Estad\u00edstica Pontificia Universidad Cat\u00f3lica de Chile  Santiago Chile"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2025,1,24]]},"reference":[{"key":"e_1_2_9_2_1","doi-asserted-by":"publisher","DOI":"10.1007\/bf00116466"},{"key":"e_1_2_9_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4612-1284-3_4"},{"key":"e_1_2_9_4_1","doi-asserted-by":"publisher","DOI":"10.1201\/9780203492024"},{"key":"e_1_2_9_5_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.2517-6161.1974.tb00999.x"},{"key":"e_1_2_9_6_1","doi-asserted-by":"publisher","DOI":"10.2307\/2987782"},{"key":"e_1_2_9_7_1","doi-asserted-by":"publisher","DOI":"10.2307\/2336690"},{"key":"e_1_2_9_8_1","doi-asserted-by":"publisher","DOI":"10.1016\/0047\u2010259x(88)90040\u20101"},{"key":"e_1_2_9_9_1","doi-asserted-by":"publisher","DOI":"10.2307\/2337341"},{"key":"e_1_2_9_10_1","volume-title":"Bayesian Disease Mapping: Hierarchical Modeling in Spatial Epidemiology","author":"Lawson A.","year":"2009"},{"key":"e_1_2_9_11_1","doi-asserted-by":"publisher","DOI":"10.1201\/b17115"},{"key":"e_1_2_9_12_1","doi-asserted-by":"publisher","DOI":"10.1002\/9781118950203"},{"key":"e_1_2_9_13_1","doi-asserted-by":"publisher","DOI":"10.1201\/9781315118741"},{"key":"e_1_2_9_14_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00477\u2010017\u20101405\u20100"},{"key":"e_1_2_9_15_1","doi-asserted-by":"publisher","DOI":"10.1214\/19\u2010ba1177"},{"key":"e_1_2_9_16_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.9404"},{"key":"e_1_2_9_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/kxac013"},{"key":"e_1_2_9_18_1","unstructured":"L.AielloandS.Banerjee \u201cDetecting Spatial Health Disparities Using Disease Maps \u201d2023.arXiv preprint arXiv:2309.02086."},{"key":"e_1_2_9_19_1","doi-asserted-by":"publisher","DOI":"10.1002\/bimj.200610375"},{"key":"e_1_2_9_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10651\u2010012\u20100209\u20100"},{"key":"e_1_2_9_21_1","doi-asserted-by":"publisher","DOI":"10.1214\/18\u2010ba1116"},{"key":"e_1_2_9_22_1","doi-asserted-by":"publisher","DOI":"10.1214\/20\u2010ejs1696"},{"key":"e_1_2_9_23_1","doi-asserted-by":"publisher","DOI":"10.1002\/sim.3253"},{"key":"e_1_2_9_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2015.106"},{"issue":"85","key":"e_1_2_9_25_1","first-page":"1","article-title":"Bayesian Space\u2010Time Partitioning by Sampling and Pruning Spanning Trees","volume":"20","author":"Teixeira L. V.","year":"2019","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_2_9_26_1","unstructured":"A.Cremaschi A.Cadonna A.Guglielmi andF.Quintana \u201cA Change\u2010Point Random Partition Model for Large Spatio\u2010Temporal Datasets \u201d2023.arXiv preprint arXiv:2312.12396."},{"key":"e_1_2_9_27_1","doi-asserted-by":"publisher","DOI":"10.1017\/s0950268818002807"},{"key":"e_1_2_9_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sste.2020.100335"},{"key":"e_1_2_9_29_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1007839"},{"key":"e_1_2_9_30_1","doi-asserted-by":"publisher","DOI":"10.1186\/s12942\u2010020\u201000199\u20100"},{"key":"e_1_2_9_31_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sste.2020.100360"},{"key":"e_1_2_9_32_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598\u2010020\u201058407\u20107"},{"key":"e_1_2_9_33_1","doi-asserted-by":"publisher","DOI":"10.1098\/rspb.2019.1867"},{"key":"e_1_2_9_34_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pntd.0008760"},{"key":"e_1_2_9_35_1","doi-asserted-by":"publisher","DOI":"10.1177\/09622802221102628"},{"key":"e_1_2_9_36_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-16427-9_7"},{"key":"e_1_2_9_37_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sste.2023.100616"},{"key":"e_1_2_9_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.respe.2018.05.408"},{"key":"e_1_2_9_39_1","doi-asserted-by":"publisher","DOI":"10.4269\/ajtmh.2012.11\u20100074"},{"key":"e_1_2_9_40_1","doi-asserted-by":"publisher","DOI":"10.1080\/03610929008830345"},{"key":"e_1_2_9_41_1","doi-asserted-by":"publisher","DOI":"10.2307\/1390653"},{"key":"e_1_2_9_42_1","doi-asserted-by":"publisher","DOI":"10.1111\/1467\u20109868.00402"},{"key":"e_1_2_9_43_1","doi-asserted-by":"crossref","unstructured":"D.Dahl D.Johnson andP.M\u00fcller \u201cSalso: Search Algorithms and Loss Functions for Bayesian Clustering \u201d2020.R package version 0.2.5 https:\/\/CRAN.R\u2010project.org\/package=salso:","DOI":"10.32614\/CRAN.package.salso"},{"key":"e_1_2_9_44_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF01908075"},{"key":"e_1_2_9_45_1","unstructured":"D.Lee A.Rushworth G.Napier andW.Pettersson \u201cCARBayesST: Spatio\u2010Temporal Generalised Linear Mixed Models for Areal Unit Data \u201d2023.R package version 0.2.6 https:\/\/CRAN.R\u2010project.org\/package=CARBayesST:"},{"key":"e_1_2_9_46_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.spasta.2021.100508"},{"key":"e_1_2_9_47_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11222\u2010013\u20109416\u20102"},{"key":"e_1_2_9_48_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13163\u2010022\u201000449\u20108"},{"key":"e_1_2_9_49_1","doi-asserted-by":"publisher","DOI":"10.1177\/1471082X211015452"}],"container-title":["Statistics in Medicine"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1002\/sim.10325","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,5]],"date-time":"2025-04-05T00:32:05Z","timestamp":1743813125000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1002\/sim.10325"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,24]]},"references-count":48,"journal-issue":{"issue":"3-4","published-print":{"date-parts":[[2025,2,10]]}},"alternative-id":["10.1002\/sim.10325"],"URL":"https:\/\/doi.org\/10.1002\/sim.10325","archive":["Portico"],"relation":{},"ISSN":["0277-6715","1097-0258"],"issn-type":[{"value":"0277-6715","type":"print"},{"value":"1097-0258","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,24]]},"assertion":[{"value":"2024-04-06","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2024-12-12","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2025-01-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"e10325"}}