Reconstruction and prediction of viral disease epidemics - Archive ouverte HAL Access content directly
Journal Articles Epidemiology and Infection Year : 2019

Reconstruction and prediction of viral disease epidemics

(1, 2, 3) , (4) , (5) , (6) , (3) , (3) , (7, 8)
1
2
3
4
5
6
7
8

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.
Fichier principal
Vignette du fichier
reconstruction-and-prediction-of-viral-disease-epidemics.pdf (271.08 Ko) Télécharger le fichier
Origin : Publication funded by an institution

Dates and versions

pasteur-03430143 , version 1 (16-11-2021)

Licence

Attribution - CC BY 4.0

Identifiers

Cite

M. U. G. Kraemer, D. A. T. Cummings, S. Funk, R. C. Reiner Jr., N. R. Faria, et al.. Reconstruction and prediction of viral disease epidemics. Epidemiology and Infection, 2019, 147, pp.e34. ⟨10.1017/S0950268818002881⟩. ⟨pasteur-03430143⟩
13 View
14 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More