Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/59887 |
Resumo: | Climate Dynamics and Impacts Unit. Institut Català de Ciències del Clima. Barcelona, Spain. |
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Lowe, RachelCoelho, Caio AS.Barcellos, ChristovamCarvalho, Marilia SáCatão, Rafael De CastroCoelho, Giovanini E.Ramalho, Walter MassaBailey, Trevor C.Stephenson, David B.Rodó, Xavier2023-08-03T12:54:31Z2023-08-03T12:54:31Z2016LOWE, Rachel et al. Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil. ELife, v. 5, p. 1-18, 2016.2050-084Xhttps://www.arca.fiocruz.br/handle/icict/5988710.7554/eLife.11285engeLife Sciences Publicationshttps://www.arca.fiocruz.br/handle/icict/31339Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleClimate Dynamics and Impacts Unit. Institut Català de Ciències del Clima. Barcelona, Spain.Centro de Previsão de Tempo e Estudos Climáticos. Instituto Nacional de Pesquisas Espaciais. Cachoeira Paulista, SP, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Climate Dynamics and Impacts Unit. Institut Català de Ciències del Clima. Barcelona, Spain / Universidade Estadual Paulista. Faculdade de Ciências e Tecnologia. Presidente Prudente, SP, Brasil.Ministério da Saúde. Coordenação Geral do Programa Nacional de Controle da Dengue. Brasília, DF, Brasil.Universidade de Brasília. Faculdade de Ceilândia. Brasília, DF, Brasil.University of Exeter. Exeter Climate Systems. College of Engineering, Mathematics and Physical Sciences. Exeter, United Kingdom.University of Exeter. Exeter Climate Systems. College of Engineering, Mathematics and Physical Sciences. Exeter, United Kingdom.Climate Dynamics and Impacts Unit. Institut Català de Ciències del Clima. Barcelona, Spain / Institució Catalana de Recerca i Estudis Avançats. Barcelona, Spain.Recently, a prototype dengue early warning system was developed to produce probabilistic forecasts of dengue risk three months ahead of the 2014 World Cup in Brazil. Here, we evaluate the categorical dengue forecasts across all microregions in Brazil, using dengue cases reported in June 2014 to validate the model. We also compare the forecast model framework to a null model, based on seasonal averages of previously observed dengue incidence. When considering the ability of the two models to predict high dengue risk across Brazil, the forecast model produced more hits and fewer missed events than the null model, with a hit rate of 57% for the forecast model compared to 33% for the null model. This early warning model framework may be useful to public health services, not only ahead of mass gatherings, but also before the peak dengue season each year, to control potentially explosive dengue epidemics.DengueBrazilDengue riskinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/59887/1/license.txt5a560609d32a3863062d77ff32785d58MD51ORIGINALva_Lowe_Rachel_etal_ICICT_2016.pdfva_Lowe_Rachel_etal_ICICT_2016.pdfapplication/pdf2907669https://www.arca.fiocruz.br/bitstream/icict/59887/2/va_Lowe_Rachel_etal_ICICT_2016.pdf59e97711a48aa9e28d5fb059b7149865MD52icict/598872023-10-27 14:28:33.061oai:www.arca.fiocruz.br:icict/59887Q0VTU8ODTyBOw4NPIEVYQ0xVU0lWQSBERSBESVJFSVRPUyBBVVRPUkFJUwoKQW8gYWNlaXRhciBvcyBURVJNT1MgZSBDT05EScOHw5VFUyBkZXN0YSBDRVNTw4NPLCBvIEFVVE9SIGUvb3UgVElUVUxBUiBkZSBkaXJlaXRvcwphdXRvcmFpcyBzb2JyZSBhIE9CUkEgZGUgcXVlIHRyYXRhIGVzdGUgZG9jdW1lbnRvOgoKKDEpIENFREUgZSBUUkFOU0ZFUkUsIHRvdGFsIGUgZ3JhdHVpdGFtZW50ZSwgw6AgRklPQ1JVWiAtIEZVTkRBw4fDg08gT1NXQUxETyBDUlVaLCBlbQpjYXLDoXRlciBwZXJtYW5lbnRlLCBpcnJldm9nw6F2ZWwgZSBOw4NPIEVYQ0xVU0lWTywgdG9kb3Mgb3MgZGlyZWl0b3MgcGF0cmltb25pYWlzIE7Dg08KQ09NRVJDSUFJUyBkZSB1dGlsaXphw6fDo28gZGEgT0JSQSBhcnTDrXN0aWNhIGUvb3UgY2llbnTDrWZpY2EgaW5kaWNhZGEgYWNpbWEsIGluY2x1c2l2ZSBvcyBkaXJlaXRvcwpkZSB2b3ogZSBpbWFnZW0gdmluY3VsYWRvcyDDoCBPQlJBLCBkdXJhbnRlIHRvZG8gbyBwcmF6byBkZSBkdXJhw6fDo28gZG9zIGRpcmVpdG9zIGF1dG9yYWlzLCBlbQpxdWFscXVlciBpZGlvbWEgZSBlbSB0b2RvcyBvcyBwYcOtc2VzOwoKKDIpIEFDRUlUQSBxdWUgYSBjZXNzw6NvIHRvdGFsIG7Do28gZXhjbHVzaXZhLCBwZXJtYW5lbnRlIGUgaXJyZXZvZ8OhdmVsIGRvcyBkaXJlaXRvcyBhdXRvcmFpcwpwYXRyaW1vbmlhaXMgbsOjbyBjb21lcmNpYWlzIGRlIHV0aWxpemHDp8OjbyBkZSBxdWUgdHJhdGEgZXN0ZSBkb2N1bWVudG8gaW5jbHVpLCBleGVtcGxpZmljYXRpdmFtZW50ZSwKb3MgZGlyZWl0b3MgZGUgZGlzcG9uaWJpbGl6YcOnw6NvIGUgY29tdW5pY2HDp8OjbyBww7pibGljYSBkYSBPQlJBLCBlbSBxdWFscXVlciBtZWlvIG91IHZlw61jdWxvLAppbmNsdXNpdmUgZW0gUmVwb3NpdMOzcmlvcyBEaWdpdGFpcywgYmVtIGNvbW8gb3MgZGlyZWl0b3MgZGUgcmVwcm9kdcOnw6NvLCBleGliacOnw6NvLCBleGVjdcOnw6NvLApkZWNsYW1hw6fDo28sIHJlY2l0YcOnw6NvLCBleHBvc2nDp8OjbywgYXJxdWl2YW1lbnRvLCBpbmNsdXPDo28gZW0gYmFuY28gZGUgZGFkb3MsIHByZXNlcnZhw6fDo28sIGRpZnVzw6NvLApkaXN0cmlidWnDp8OjbywgZGl2dWxnYcOnw6NvLCBlbXByw6lzdGltbywgdHJhZHXDp8OjbywgZHVibGFnZW0sIGxlZ2VuZGFnZW0sIGluY2x1c8OjbyBlbSBub3ZhcyBvYnJhcyBvdQpjb2xldMOibmVhcywgcmV1dGlsaXphw6fDo28sIGVkacOnw6NvLCBwcm9kdcOnw6NvIGRlIG1hdGVyaWFsIGRpZMOhdGljbyBlIGN1cnNvcyBvdSBxdWFscXVlciBmb3JtYSBkZQp1dGlsaXphw6fDo28gbsOjbyBjb21lcmNpYWw7CgooMykgUkVDT05IRUNFIHF1ZSBhIGNlc3PDo28gYXF1aSBlc3BlY2lmaWNhZGEgY29uY2VkZSDDoCBGSU9DUlVaIC0gRlVOREHDh8ODTyBPU1dBTERPCkNSVVogbyBkaXJlaXRvIGRlIGF1dG9yaXphciBxdWFscXVlciBwZXNzb2Eg4oCTIGbDrXNpY2Egb3UganVyw61kaWNhLCBww7pibGljYSBvdSBwcml2YWRhLCBuYWNpb25hbCBvdQplc3RyYW5nZWlyYSDigJMgYSBhY2Vzc2FyIGUgdXRpbGl6YXIgYW1wbGFtZW50ZSBhIE9CUkEsIHNlbSBleGNsdXNpdmlkYWRlLCBwYXJhIHF1YWlzcXVlcgpmaW5hbGlkYWRlcyBuw6NvIGNvbWVyY2lhaXM7CgooNCkgREVDTEFSQSBxdWUgYSBvYnJhIMOpIGNyaWHDp8OjbyBvcmlnaW5hbCBlIHF1ZSDDqSBvIHRpdHVsYXIgZG9zIGRpcmVpdG9zIGFxdWkgY2VkaWRvcyBlIGF1dG9yaXphZG9zLApyZXNwb25zYWJpbGl6YW5kby1zZSBpbnRlZ3JhbG1lbnRlIHBlbG8gY29udGXDumRvIGUgb3V0cm9zIGVsZW1lbnRvcyBxdWUgZmF6ZW0gcGFydGUgZGEgT0JSQSwKaW5jbHVzaXZlIG9zIGRpcmVpdG9zIGRlIHZveiBlIGltYWdlbSB2aW5jdWxhZG9zIMOgIE9CUkEsIG9icmlnYW5kby1zZSBhIGluZGVuaXphciB0ZXJjZWlyb3MgcG9yCmRhbm9zLCBiZW0gY29tbyBpbmRlbml6YXIgZSByZXNzYXJjaXIgYSBGSU9DUlVaIC0gRlVOREHDh8ODTyBPU1dBTERPIENSVVogZGUKZXZlbnR1YWlzIGRlc3Blc2FzIHF1ZSB2aWVyZW0gYSBzdXBvcnRhciwgZW0gcmF6w6NvIGRlIHF1YWxxdWVyIG9mZW5zYSBhIGRpcmVpdG9zIGF1dG9yYWlzIG91CmRpcmVpdG9zIGRlIHZveiBvdSBpbWFnZW0sIHByaW5jaXBhbG1lbnRlIG5vIHF1ZSBkaXogcmVzcGVpdG8gYSBwbMOhZ2lvIGUgdmlvbGHDp8O1ZXMgZGUgZGlyZWl0b3M7CgooNSkgQUZJUk1BIHF1ZSBjb25oZWNlIGEgUG9sw610aWNhIEluc3RpdHVjaW9uYWwgZGUgQWNlc3NvIEFiZXJ0byBkYSBGSU9DUlVaIC0gRlVOREHDh8ODTwpPU1dBTERPIENSVVogZSBhcyBkaXJldHJpemVzIHBhcmEgbyBmdW5jaW9uYW1lbnRvIGRvIHJlcG9zaXTDs3JpbyBpbnN0aXR1Y2lvbmFsIEFSQ0EuCgpBIFBvbMOtdGljYSBJbnN0aXR1Y2lvbmFsIGRlIEFjZXNzbyBBYmVydG8gZGEgRklPQ1JVWiAtIEZVTkRBw4fDg08gT1NXQUxETyBDUlVaIHJlc2VydmEKZXhjbHVzaXZhbWVudGUgYW8gQVVUT1Igb3MgZGlyZWl0b3MgbW9yYWlzIGUgb3MgdXNvcyBjb21lcmNpYWlzIHNvYnJlIGFzIG9icmFzIGRlIHN1YSBhdXRvcmlhCmUvb3UgdGl0dWxhcmlkYWRlLCBzZW5kbyBvcyB0ZXJjZWlyb3MgdXN1w6FyaW9zIHJlc3BvbnPDoXZlaXMgcGVsYSBhdHJpYnVpw6fDo28gZGUgYXV0b3JpYSBlIG1hbnV0ZW7Dp8OjbwpkYSBpbnRlZ3JpZGFkZSBkYSBPQlJBIGVtIHF1YWxxdWVyIHV0aWxpemHDp8Ojby4KCkEgUG9sw610aWNhIEluc3RpdHVjaW9uYWwgZGUgQWNlc3NvIEFiZXJ0byBkYSBGSU9DUlVaIC0gRlVOREHDh8ODTyBPU1dBTERPIENSVVoKcmVzcGVpdGEgb3MgY29udHJhdG9zIGUgYWNvcmRvcyBwcmVleGlzdGVudGVzIGRvcyBBdXRvcmVzIGNvbSB0ZXJjZWlyb3MsIGNhYmVuZG8gYW9zIEF1dG9yZXMKaW5mb3JtYXIgw6AgSW5zdGl0dWnDp8OjbyBhcyBjb25kacOnw7VlcyBlIG91dHJhcyByZXN0cmnDp8O1ZXMgaW1wb3N0YXMgcG9yIGVzdGVzIGluc3RydW1lbnRvcy4KRepositório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352023-10-27T17:28:33Repositório Institucional da FIOCRUZ (ARCA) - 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dc.title.en_US.fl_str_mv |
Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil |
title |
Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil |
spellingShingle |
Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil Lowe, Rachel Dengue Brazil Dengue risk |
title_short |
Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil |
title_full |
Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil |
title_fullStr |
Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil |
title_full_unstemmed |
Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil |
title_sort |
Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil |
author |
Lowe, Rachel |
author_facet |
Lowe, Rachel Coelho, Caio AS. Barcellos, Christovam Carvalho, Marilia Sá Catão, Rafael De Castro Coelho, Giovanini E. Ramalho, Walter Massa Bailey, Trevor C. Stephenson, David B. Rodó, Xavier |
author_role |
author |
author2 |
Coelho, Caio AS. Barcellos, Christovam Carvalho, Marilia Sá Catão, Rafael De Castro Coelho, Giovanini E. Ramalho, Walter Massa Bailey, Trevor C. Stephenson, David B. Rodó, Xavier |
author2_role |
author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Lowe, Rachel Coelho, Caio AS. Barcellos, Christovam Carvalho, Marilia Sá Catão, Rafael De Castro Coelho, Giovanini E. Ramalho, Walter Massa Bailey, Trevor C. Stephenson, David B. Rodó, Xavier |
dc.subject.en.en_US.fl_str_mv |
Dengue Brazil Dengue risk |
topic |
Dengue Brazil Dengue risk |
description |
Climate Dynamics and Impacts Unit. Institut Català de Ciències del Clima. Barcelona, Spain. |
publishDate |
2016 |
dc.date.issued.fl_str_mv |
2016 |
dc.date.accessioned.fl_str_mv |
2023-08-03T12:54:31Z |
dc.date.available.fl_str_mv |
2023-08-03T12:54:31Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.citation.fl_str_mv |
LOWE, Rachel et al. Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil. ELife, v. 5, p. 1-18, 2016. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/59887 |
dc.identifier.issn.en_US.fl_str_mv |
2050-084X |
dc.identifier.doi.none.fl_str_mv |
10.7554/eLife.11285 |
identifier_str_mv |
LOWE, Rachel et al. Evaluating probabilistic dengue risk forecasts from a prototype early warning system for Brazil. ELife, v. 5, p. 1-18, 2016. 2050-084X 10.7554/eLife.11285 |
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https://www.arca.fiocruz.br/handle/icict/59887 |
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eng |
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https://www.arca.fiocruz.br/handle/icict/31339 |
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openAccess |
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eLife Sciences Publications |
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eLife Sciences Publications |
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