Publication:

Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals

Loading...
Thumbnail Image

Open/View Files

Date

2017

Journal Title

Journal ISSN

Volume Title

Publisher

Public Library of Science
The Harvard community has made this article openly available. Please share how this access benefits you.

Research Projects

Organizational Units

Journal Issue

Citation

Siraj, Amir S., Rachel J. Oidtman, John H. Huber, Moritz U. G. Kraemer, Oliver J. Brady, Michael A. Johansson, and T. Alex Perkins. 2017. “Temperature modulates dengue virus epidemic growth rates through its effects on reproduction numbers and generation intervals.” PLoS Neglected Tropical Diseases 11 (7): e0005797. doi:10.1371/journal.pntd.0005797. http://dx.doi.org/10.1371/journal.pntd.0005797.

Abstract

Epidemic growth rate, r, provides a more complete description of the potential for epidemics than the more commonly studied basic reproduction number, R0, 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—R0 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.

Description

Research Data

Keywords

Medicine and Health Sciences, Epidemiology, Infectious Disease Epidemiology, Infectious Diseases, People and Places, Demography, Death Rates, Disease Vectors, Insect Vectors, Mosquitoes, Biology and Life Sciences, Species Interactions, Organisms, Animals, Invertebrates, Arthropoda, Insects, Earth Sciences, Atmospheric Science, Climatology, Climate Change, Pathology and Laboratory Medicine, Pathogens, Physical Sciences, Mathematics, Probability Theory, Random Variables, Biology and life sciences, Viruses, RNA viruses, Flaviviruses, Dengue Virus, Microbiology, Medical Microbiology, Microbial Pathogens, Viral Pathogens, Tropical Diseases, Neglected Tropical Diseases, Chikungunya Infection, Viral Diseases

Terms of Use

This article is made available under the terms and conditions applicable to Other Posted Material (LAA), as set forth at Terms of Service

Endorsement

Review

Supplemented By

Related Stories