Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts

Detalhes bibliográficos
Autor(a) principal: Lowe, Rachel
Data de Publicação: 2014
Outros Autores: Barcellos, Christovam, Coelho, Caio A. S., Bailey, Trevor C., Coelho, Giovanini Evelim, Graham, Richard, Jupp, Tim, Ramalho, Walter Massa, Carvalho, Marilia Sá, Stephenson, David B., Carvalho, Xavier Rodó, Rodó, Xavier
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
DOI: 10.1016/S1473-3099(14)70781-9
Texto Completo: https://www.arca.fiocruz.br/handle/icict/61274
Resumo: Institut Català de Ciències del Clima. Climate Dynamics and Impacts Unit. Barcelona, Spain.
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spelling Lowe, RachelBarcellos, ChristovamCoelho, Caio A. S.Bailey, Trevor C.Coelho, Giovanini EvelimGraham, RichardJupp, TimRamalho, Walter MassaCarvalho, Marilia SáStephenson, David B.Carvalho, Xavier RodóStephenson, David B.Rodó, Xavier2023-11-10T15:40:28Z2023-11-10T15:40:28Z2014LOWE, Rachel et al. Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts. The Lancet infectious diseases, v. 14, n. 7, p. 1-8, 2014.1474-4457https://www.arca.fiocruz.br/handle/icict/6127410.1016/S1473-3099(14)70781-9engLancet Infect DisDengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecastsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleInstitut Català de Ciències del Clima. Climate Dynamics and Impacts Unit. Barcelona, Spain.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.Instituto Nacional de Pesquisas Espaciais. Centro de Previsão de Tempo e Estudos Climáticos. Cachoeira Paulista, SP, Brasil.University of Exeter. College of Engineering, Mathematics and Physical Sciences. Exeter Climate Systems. Exeter, UK.Ministério da Saúde. Coordenação Geral do Programa Nacional de Controle da Dengue. Brasília, DF, Brasil.Met Office Hadley Centre, Exeter. Devon, UK.University of Exeter. College of Engineering, Mathematics and Physical Sciences. Exeter Climate Systems. Exeter, UK.Universidade de Brasília. Faculdade de Ceilândia. Brasília, DF, Brazil.Fundação Oswaldo Cruz. Instituto de Comunicação e Informação Científica e Tecnológica em Saúde. Rio de Janeiro, RJ, Brasil.University of Exeter. College of Engineering, Mathematics and Physical Sciences. Exeter Climate Systems. Exeter, UK.Institut Català de Ciències del Clima. Climate Dynamics and Impacts Unit. Barcelona, Spain / Institució Catalana de Recerca i Estudis Avançats. Barcelona, Spain.Background With more than a million spectators expected to travel among 12 diff erent cities in Brazil during the football World Cup, June 12–July 13, 2014, the risk of the mosquito-transmitted disease dengue fever is a concern. We addressed the potential for a dengue epidemic during the tournament, using a probabilistic forecast of dengue risk for the 553 microregions of Brazil, with risk level warnings for the 12 cities where matches will be played. Methods We obtained real-time seasonal climate forecasts from several international sources (European Centre for Medium-Range Weather Forecasts [ECMWF], Met Offi ce, Meteo-France and Centro de Previsão de Tempo e Estudos Climáticos [CPTEC]) and the observed dengue epidemiological situation in Brazil at the forecast issue date as provided by the Ministry of Health. Using this information we devised a spatiotemporal hierarchical Bayesian modelling framework that enabled dengue warnings to be made 3 months ahead. By assessing the past performance of the forecasting system using observed dengue incidence rates for June, 2000–2013, we identifi ed optimum trigger alert thresholds for scenarios of medium-risk and high-risk of dengue. Findings Our forecasts for June, 2014, showed that dengue risk was likely to be low in the host cities Brasília, Cuiabá, Curitiba, Porto Alegre, and São Paulo. The risk was medium in Rio de Janeiro, Belo Horizonte, Salvador, and Manaus. High-risk alerts were triggered for the northeastern cities of Recife (phigh=19%), Fortaleza (phigh=46%), and Natal (phigh=48%). For these high-risk areas, particularly Natal, the forecasting system did well for previous years (in June, 2000–13). Interpretation This timely dengue early warning permits the Ministry of Health and local authorities to implement appropriate, city-specifi c mitigation and control actions ahead of the World Cup.DengueWorld CupBrazilSeasonal climate forecastsinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZORIGINALartigo.pdfartigo.pdfartigoapplication/pdf2847858https://www.arca.fiocruz.br/bitstream/icict/61274/2/artigo.pdfdff1d0f4d480277935ae2420a69fdff5MD52LICENSElicense.txtlicense.txttext/plain; charset=utf-82991https://www.arca.fiocruz.br/bitstream/icict/61274/1/license.txt5a560609d32a3863062d77ff32785d58MD51icict/612742023-11-10 12:40:29.048oai:www.arca.fiocruz.br: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ório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352023-11-10T15:40:29Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false
dc.title.en_US.fl_str_mv Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts
title Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts
spellingShingle Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts
Lowe, Rachel
Dengue
World Cup
Brazil
Seasonal climate forecasts
title_short Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts
title_full Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts
title_fullStr Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts
title_full_unstemmed Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts
title_sort Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts
author Lowe, Rachel
author_facet Lowe, Rachel
Barcellos, Christovam
Coelho, Caio A. S.
Bailey, Trevor C.
Coelho, Giovanini Evelim
Graham, Richard
Jupp, Tim
Ramalho, Walter Massa
Carvalho, Marilia Sá
Stephenson, David B.
Carvalho, Xavier Rodó
Rodó, Xavier
author_role author
author2 Barcellos, Christovam
Coelho, Caio A. S.
Bailey, Trevor C.
Coelho, Giovanini Evelim
Graham, Richard
Jupp, Tim
Ramalho, Walter Massa
Carvalho, Marilia Sá
Stephenson, David B.
Carvalho, Xavier Rodó
Rodó, Xavier
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Lowe, Rachel
Barcellos, Christovam
Coelho, Caio A. S.
Bailey, Trevor C.
Coelho, Giovanini Evelim
Graham, Richard
Jupp, Tim
Ramalho, Walter Massa
Carvalho, Marilia Sá
Stephenson, David B.
Carvalho, Xavier Rodó
Stephenson, David B.
Rodó, Xavier
dc.subject.en.en_US.fl_str_mv Dengue
World Cup
Brazil
Seasonal climate forecasts
topic Dengue
World Cup
Brazil
Seasonal climate forecasts
description Institut Català de Ciències del Clima. Climate Dynamics and Impacts Unit. Barcelona, Spain.
publishDate 2014
dc.date.issued.fl_str_mv 2014
dc.date.accessioned.fl_str_mv 2023-11-10T15:40:28Z
dc.date.available.fl_str_mv 2023-11-10T15:40:28Z
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. Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts. The Lancet infectious diseases, v. 14, n. 7, p. 1-8, 2014.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/61274
dc.identifier.issn.en_US.fl_str_mv 1474-4457
dc.identifier.doi.none.fl_str_mv 10.1016/S1473-3099(14)70781-9
identifier_str_mv LOWE, Rachel et al. Dengue outlook for the World Cup in Brazil: an early warning model framework driven by real-time seasonal climate forecasts. The Lancet infectious diseases, v. 14, n. 7, p. 1-8, 2014.
1474-4457
10.1016/S1473-3099(14)70781-9
url https://www.arca.fiocruz.br/handle/icict/61274
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Lancet Infect Dis
publisher.none.fl_str_mv Lancet Infect Dis
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
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instacron_str FIOCRUZ
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reponame_str Repositório Institucional da FIOCRUZ (ARCA)
collection Repositório Institucional da FIOCRUZ (ARCA)
bitstream.url.fl_str_mv https://www.arca.fiocruz.br/bitstream/icict/61274/2/artigo.pdf
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