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Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals
Epidemic growth rate, r, provides a more complete description of the potential for epidemics than the more commonly studied basic reproduction number, R(0), yet the former has never been described as a function of temperature for dengue virus or other pathogens with temperature-sensitive transmissio...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536440/ https://www.ncbi.nlm.nih.gov/pubmed/28723920 http://dx.doi.org/10.1371/journal.pntd.0005797 |
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author | Siraj, Amir S. Oidtman, Rachel J. Huber, John H. Kraemer, Moritz U. G. Brady, Oliver J. Johansson, Michael A. Perkins, T. Alex |
author_facet | Siraj, Amir S. Oidtman, Rachel J. Huber, John H. Kraemer, Moritz U. G. Brady, Oliver J. Johansson, Michael A. Perkins, T. Alex |
author_sort | Siraj, Amir S. |
collection | PubMed |
description | Epidemic growth rate, r, provides a more complete description of the potential for epidemics than the more commonly studied basic reproduction number, R(0), yet the former has never been described as a function of temperature for dengue virus or other pathogens with temperature-sensitive transmission. The need to understand the drivers of epidemics of these pathogens is acute, with arthropod-borne virus epidemics becoming increasingly problematic. We addressed this need by developing temperature-dependent descriptions of the two components of r—R(0) and the generation interval—to obtain a temperature-dependent description of r. Our results show that the generation interval is highly sensitive to temperature, decreasing twofold between 25 and 35°C and suggesting that dengue virus epidemics may accelerate as temperatures increase, not only because of more infections per generation but also because of faster generations. Under the empirical temperature relationships that we considered, we found that r peaked at a temperature threshold that was robust to uncertainty in model parameters that do not depend on temperature. Although the precise value of this temperature threshold could be refined following future studies of empirical temperature relationships, the framework we present for identifying such temperature thresholds offers a new way to classify regions in which dengue virus epidemic intensity could either increase or decrease under future climate change. |
format | Online Article Text |
id | pubmed-5536440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-55364402017-08-07 Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals Siraj, Amir S. Oidtman, Rachel J. Huber, John H. Kraemer, Moritz U. G. Brady, Oliver J. Johansson, Michael A. Perkins, T. Alex PLoS Negl Trop Dis Research Article Epidemic growth rate, r, provides a more complete description of the potential for epidemics than the more commonly studied basic reproduction number, R(0), yet the former has never been described as a function of temperature for dengue virus or other pathogens with temperature-sensitive transmission. The need to understand the drivers of epidemics of these pathogens is acute, with arthropod-borne virus epidemics becoming increasingly problematic. We addressed this need by developing temperature-dependent descriptions of the two components of r—R(0) and the generation interval—to obtain a temperature-dependent description of r. Our results show that the generation interval is highly sensitive to temperature, decreasing twofold between 25 and 35°C and suggesting that dengue virus epidemics may accelerate as temperatures increase, not only because of more infections per generation but also because of faster generations. Under the empirical temperature relationships that we considered, we found that r peaked at a temperature threshold that was robust to uncertainty in model parameters that do not depend on temperature. Although the precise value of this temperature threshold could be refined following future studies of empirical temperature relationships, the framework we present for identifying such temperature thresholds offers a new way to classify regions in which dengue virus epidemic intensity could either increase or decrease under future climate change. Public Library of Science 2017-07-19 /pmc/articles/PMC5536440/ /pubmed/28723920 http://dx.doi.org/10.1371/journal.pntd.0005797 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication. |
spellingShingle | Research Article Siraj, Amir S. Oidtman, Rachel J. Huber, John H. Kraemer, Moritz U. G. Brady, Oliver J. Johansson, Michael A. Perkins, T. Alex Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals |
title | Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals |
title_full | Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals |
title_fullStr | Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals |
title_full_unstemmed | Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals |
title_short | Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals |
title_sort | temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5536440/ https://www.ncbi.nlm.nih.gov/pubmed/28723920 http://dx.doi.org/10.1371/journal.pntd.0005797 |
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