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Imported dengue in Spain: a nationwide analysis with predictive time series analyses

BACKGROUND: Of febrile illnesses in Europe, dengue is second only to malaria as a cause of travellers being hospitalized. Local transmission has been reported in several European countries, including Spain. This study assesses the evolution of dengue-related admissions in Spain in terms of time, geo...

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Autores principales: Redondo-Bravo, Lidia, Ruiz-Huerta, Claudia, Gomez-Barroso, Diana, Sierra-Moros, María José, Benito, Agustín, Herrador, Zaida
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927315/
https://www.ncbi.nlm.nih.gov/pubmed/31608405
http://dx.doi.org/10.1093/jtm/taz072
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author Redondo-Bravo, Lidia
Ruiz-Huerta, Claudia
Gomez-Barroso, Diana
Sierra-Moros, María José
Benito, Agustín
Herrador, Zaida
author_facet Redondo-Bravo, Lidia
Ruiz-Huerta, Claudia
Gomez-Barroso, Diana
Sierra-Moros, María José
Benito, Agustín
Herrador, Zaida
author_sort Redondo-Bravo, Lidia
collection PubMed
description BACKGROUND: Of febrile illnesses in Europe, dengue is second only to malaria as a cause of travellers being hospitalized. Local transmission has been reported in several European countries, including Spain. This study assesses the evolution of dengue-related admissions in Spain in terms of time, geographical distribution and individuals’ common characteristics; it also creates a predictive model to evaluate the risk of local transmission. METHODS: This is a retrospective study using the Hospital Discharge Records Database from 1997 to 2016. We calculated hospitalization rates and described clinical characteristics. Spatial distribution and temporal behaviour were also assessed, and a predictive time series model was created to estimate expected cases in the near future. Figures for resident foreign population, Spanish residents’ trips to endemic regions and the expansion of Aedes albopictus were also evaluated. RESULTS: A total of 588 dengue-related admissions were recorded: 49.6% were women, and the mean age was 34.3 years. One person died (0.2%), 82% presented with mild-to-moderate dengue and 7–8% with severe dengue. We observed a trend of steady and consistent increase in incidence (P < 0.05), in parallel with the increase in trips to dengue-endemic regions. Most admissions occurred during the summer, showing significant seasonality with 3-year peaks. We also found important regional differences. According to the predictive time series analysis, a continuing increase in imported dengue incidence can be expected in the near future, which, in the worst case scenario (upper 95% confidence interval), would mean an increase of 65% by 2025. CONCLUSION: We present a nationwide study based on hospital, immigration, travel and entomological data. The constant increase in dengue-related hospitalizations, in combination with wider vector distribution, could imply a higher risk of autochthonous dengue transmission in the years to come. Strengthening the human and vector surveillance systems is a necessity, as are improvements in control measures, in the education of the general public and in fostering their collaboration in order to reduce the impact of imported dengue and to prevent the occurrence of autochthonous cases.
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spelling pubmed-69273152019-12-27 Imported dengue in Spain: a nationwide analysis with predictive time series analyses Redondo-Bravo, Lidia Ruiz-Huerta, Claudia Gomez-Barroso, Diana Sierra-Moros, María José Benito, Agustín Herrador, Zaida J Travel Med Original Article BACKGROUND: Of febrile illnesses in Europe, dengue is second only to malaria as a cause of travellers being hospitalized. Local transmission has been reported in several European countries, including Spain. This study assesses the evolution of dengue-related admissions in Spain in terms of time, geographical distribution and individuals’ common characteristics; it also creates a predictive model to evaluate the risk of local transmission. METHODS: This is a retrospective study using the Hospital Discharge Records Database from 1997 to 2016. We calculated hospitalization rates and described clinical characteristics. Spatial distribution and temporal behaviour were also assessed, and a predictive time series model was created to estimate expected cases in the near future. Figures for resident foreign population, Spanish residents’ trips to endemic regions and the expansion of Aedes albopictus were also evaluated. RESULTS: A total of 588 dengue-related admissions were recorded: 49.6% were women, and the mean age was 34.3 years. One person died (0.2%), 82% presented with mild-to-moderate dengue and 7–8% with severe dengue. We observed a trend of steady and consistent increase in incidence (P < 0.05), in parallel with the increase in trips to dengue-endemic regions. Most admissions occurred during the summer, showing significant seasonality with 3-year peaks. We also found important regional differences. According to the predictive time series analysis, a continuing increase in imported dengue incidence can be expected in the near future, which, in the worst case scenario (upper 95% confidence interval), would mean an increase of 65% by 2025. CONCLUSION: We present a nationwide study based on hospital, immigration, travel and entomological data. The constant increase in dengue-related hospitalizations, in combination with wider vector distribution, could imply a higher risk of autochthonous dengue transmission in the years to come. Strengthening the human and vector surveillance systems is a necessity, as are improvements in control measures, in the education of the general public and in fostering their collaboration in order to reduce the impact of imported dengue and to prevent the occurrence of autochthonous cases. Oxford University Press 2019-10-14 /pmc/articles/PMC6927315/ /pubmed/31608405 http://dx.doi.org/10.1093/jtm/taz072 Text en © International Society of Travel Medicine 2019. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Article
Redondo-Bravo, Lidia
Ruiz-Huerta, Claudia
Gomez-Barroso, Diana
Sierra-Moros, María José
Benito, Agustín
Herrador, Zaida
Imported dengue in Spain: a nationwide analysis with predictive time series analyses
title Imported dengue in Spain: a nationwide analysis with predictive time series analyses
title_full Imported dengue in Spain: a nationwide analysis with predictive time series analyses
title_fullStr Imported dengue in Spain: a nationwide analysis with predictive time series analyses
title_full_unstemmed Imported dengue in Spain: a nationwide analysis with predictive time series analyses
title_short Imported dengue in Spain: a nationwide analysis with predictive time series analyses
title_sort imported dengue in spain: a nationwide analysis with predictive time series analyses
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6927315/
https://www.ncbi.nlm.nih.gov/pubmed/31608405
http://dx.doi.org/10.1093/jtm/taz072
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