date: 2024-06-16T13:51:02Z pdf:PDFVersion: 1.4 pdf:docinfo:title: When climate variables improve the dengue forecasting: a machine learning approach xmp:CreatorTool: Springer access_permission:can_print_degraded: true subject: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-024-01201-7 pdfa:PDFVersion: A-2b xmpMM:History:Action: converted dc:format: application/pdf; version=1.4 pdf:docinfo:custom:robots: noindex pdf:docinfo:creator_tool: Springer access_permission:fill_in_form: true xmpMM:History:When: 2024-06-16T19:20:27Z pdf:encrypted: false dc:title: When climate variables improve the dengue forecasting: a machine learning approach modified: 2024-06-16T13:51:02Z cp:subject: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-024-01201-7 xmpMM:History:SoftwareAgent: pdfToolbox pdf:docinfo:custom:CrossMarkDomains[1]: springer.com robots: noindex pdf:docinfo:subject: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-024-01201-7 xmpMM:History:InstanceID: uuid:ae31008d-4c08-4ec6-a238-518ef5b0afa8 pdf:docinfo:creator: Sidney T. da Silva meta:author: Enrique C. Gabrick meta:creation-date: 2024-06-16T13:48:10Z pdf:docinfo:custom:CrossmarkMajorVersionDate: 2010-04-23 created: Sun Jun 16 15:48:10 CEST 2024 access_permission:extract_for_accessibility: true Creation-Date: 2024-06-16T13:48:10Z pdfaid:part: 2 pdf:docinfo:custom:CrossMarkDomains[2]: springerlink.com pdf:docinfo:custom:doi: 10.1140/epjs/s11734-024-01201-7 pdf:docinfo:custom:CrossmarkDomainExclusive: true Author: Enrique C. Gabrick producer: Acrobat Distiller 24.0 (Windows); modified using iTextSharp? 5.5.14-SNAPSHOT ©2000-2020 iText Group NV (AGPL-version) CrossmarkDomainExclusive: true pdf:docinfo:producer: Acrobat Distiller 24.0 (Windows); modified using iTextSharp? 5.5.14-SNAPSHOT ©2000-2020 iText Group NV (AGPL-version) doi: 10.1140/epjs/s11734-024-01201-7 dc:description: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-024-01201-7 Keywords: access_permission:modify_annotations: true dc:creator: Enrique C. Gabrick description: The European Physical Journal Special Topics, https://doi.org/10.1140/epjs/s11734-024-01201-7 dcterms:created: 2024-06-16T13:48:10Z Last-Modified: 2024-06-16T13:51:02Z dcterms:modified: 2024-06-16T13:51:02Z title: When climate variables improve the dengue forecasting: a machine learning approach xmpMM:DocumentID: uuid:ae31008d-4c08-4ec6-a238-518ef5b0afa8 Last-Save-Date: 2024-06-16T13:51:02Z CrossMarkDomains[1]: springer.com pdf:docinfo:keywords: pdf:docinfo:modified: 2024-06-16T13:51:02Z meta:save-date: 2024-06-16T13:51:02Z Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Enrique C. Gabrick pdfaid:conformance: B dc:subject: access_permission:assemble_document: true xmpTPg:NPages: 15 access_permission:extract_content: true access_permission:can_print: true CrossMarkDomains[2]: springerlink.com meta:keyword: access_permission:can_modify: true pdf:docinfo:created: 2024-06-16T13:48:10Z CrossmarkMajorVersionDate: 2010-04-23