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Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina

BACKGROUND: Dengue cases have increased during the last decades, particularly in non-endemic areas, and Argentina was no exception in the southern transmission fringe. Although temperature rise has been blamed for this, human population growth, increased travel and inefficient vector control may als...

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Autores principales: Carbajo, Aníbal E, Cardo, María V, Vezzani, Darío
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517391/
https://www.ncbi.nlm.nih.gov/pubmed/22768874
http://dx.doi.org/10.1186/1476-072X-11-26
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author Carbajo, Aníbal E
Cardo, María V
Vezzani, Darío
author_facet Carbajo, Aníbal E
Cardo, María V
Vezzani, Darío
author_sort Carbajo, Aníbal E
collection PubMed
description BACKGROUND: Dengue cases have increased during the last decades, particularly in non-endemic areas, and Argentina was no exception in the southern transmission fringe. Although temperature rise has been blamed for this, human population growth, increased travel and inefficient vector control may also be implicated. The relative contribution of geographic, demographic and climatic of variables on the occurrence of dengue cases was evaluated. METHODS: According to dengue history in the country, the study was divided in two decades, a first decade corresponding to the reemergence of the disease and the second including several epidemics. Annual dengue risk was modeled by a temperature-based mechanistic model as annual days of possible transmission. The spatial distribution of dengue occurrence was modeled as a function of the output of the mechanistic model, climatic, geographic and demographic variables for both decades. RESULTS: According to the temperature-based model dengue risk increased between the two decades, and epidemics of the last decade coincided with high annual risk. Dengue spatial occurrence was best modeled by a combination of climatic, demographic and geographic variables and province as a grouping factor. It was positively associated with days of possible transmission, human population number, population fall and distance to water bodies. When considered separately, the classification performance of demographic variables was higher than that of climatic and geographic variables. CONCLUSIONS: Temperature, though useful to estimate annual transmission risk, does not fully describe the distribution of dengue occurrence at the country scale. Indeed, when taken separately, climatic variables performed worse than geographic or demographic variables. A combination of the three types was best for this task.
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spelling pubmed-35173912012-12-11 Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina Carbajo, Aníbal E Cardo, María V Vezzani, Darío Int J Health Geogr Research BACKGROUND: Dengue cases have increased during the last decades, particularly in non-endemic areas, and Argentina was no exception in the southern transmission fringe. Although temperature rise has been blamed for this, human population growth, increased travel and inefficient vector control may also be implicated. The relative contribution of geographic, demographic and climatic of variables on the occurrence of dengue cases was evaluated. METHODS: According to dengue history in the country, the study was divided in two decades, a first decade corresponding to the reemergence of the disease and the second including several epidemics. Annual dengue risk was modeled by a temperature-based mechanistic model as annual days of possible transmission. The spatial distribution of dengue occurrence was modeled as a function of the output of the mechanistic model, climatic, geographic and demographic variables for both decades. RESULTS: According to the temperature-based model dengue risk increased between the two decades, and epidemics of the last decade coincided with high annual risk. Dengue spatial occurrence was best modeled by a combination of climatic, demographic and geographic variables and province as a grouping factor. It was positively associated with days of possible transmission, human population number, population fall and distance to water bodies. When considered separately, the classification performance of demographic variables was higher than that of climatic and geographic variables. CONCLUSIONS: Temperature, though useful to estimate annual transmission risk, does not fully describe the distribution of dengue occurrence at the country scale. Indeed, when taken separately, climatic variables performed worse than geographic or demographic variables. A combination of the three types was best for this task. BioMed Central 2012-07-06 /pmc/articles/PMC3517391/ /pubmed/22768874 http://dx.doi.org/10.1186/1476-072X-11-26 Text en Copyright ©2012 Carbajo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Carbajo, Aníbal E
Cardo, María V
Vezzani, Darío
Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina
title Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina
title_full Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina
title_fullStr Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina
title_full_unstemmed Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina
title_short Is temperature the main cause of dengue rise in non-endemic countries? The case of Argentina
title_sort is temperature the main cause of dengue rise in non-endemic countries? the case of argentina
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3517391/
https://www.ncbi.nlm.nih.gov/pubmed/22768874
http://dx.doi.org/10.1186/1476-072X-11-26
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