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Reconstruction and prediction of viral disease epidemics

  • M. U. G. Kraemer (a1) (a2) (a3), D. A. T. Cummings (a4) (a5), S. Funk (a6) (a7), R. C. Reiner (a8), N. R. Faria (a3), O. G. Pybus (a3) and S. Cauchemez (a9) (a10)...

Abstract

A growing number of infectious pathogens are spreading among geographic regions. Some pathogens that were previously not considered to pose a general threat to human health have emerged at regional and global scales, such as Zika and Ebola Virus Disease. Other pathogens, such as yellow fever virus, were previously thought to be under control but have recently re-emerged, causing new challenges to public health organisations. A wide array of new modelling techniques, aided by increased computing capabilities, novel diagnostic tools, and the increased speed and availability of genomic sequencing allow researchers to identify new pathogens more rapidly, assess the likelihood of geographic spread, and quantify the speed of human-to-human transmission. Despite some initial successes in predicting the spread of acute viral infections, the practicalities and sustainability of such approaches will need to be evaluated in the context of public health responses.

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Copyright

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Corresponding author

Author for correspondence: M. U. G. Kraemer, E-mail: moritz.kraemer@zoo.ox.ac.uk

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Keywords

Reconstruction and prediction of viral disease epidemics

  • M. U. G. Kraemer (a1) (a2) (a3), D. A. T. Cummings (a4) (a5), S. Funk (a6) (a7), R. C. Reiner (a8), N. R. Faria (a3), O. G. Pybus (a3) and S. Cauchemez (a9) (a10)...

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