Imperial College London
Alternate

DrThibautJombart

Faculty of Medicine, School of Public Health

Senior Lecturer
 
 
 
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Contact

 

+44 (0)20 7594 3658t.jombart Website

 
 
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Location

 

UG11Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Polonsky:2019:10.1098/rstb.2018.0276,
author = {Polonsky, JA and Baidjoe, A and Kamvar, ZN and Cori, A and Durski, K and Edmunds, WJ and Eggo, RM and Funk, S and Kaiser, L and Keating, P and de, Waroux OLP and Marks, M and Moraga, P and Morgan, O and Nouvellet, P and Ratnayake, R and Roberts, CH and Whitworth, J and Jombart, T},
doi = {10.1098/rstb.2018.0276},
journal = {Philosophical Transactions B: Biological Sciences},
title = {Outbreak analytics: a developing data science for informing the response to emerging pathogens},
url = {http://dx.doi.org/10.1098/rstb.2018.0276},
volume = {374},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Despite continued efforts to improve health systems worldwide, emerging pathogen epidemics remain a major public health concern. Effective response to such outbreaks relies on timely intervention, ideally informed by all available sources of data. The collection, visualization and analysis of outbreak data are becoming increasingly complex, owing to the diversity in types of data, questions and available methods to address them. Recent advances have led to the rise of outbreak analytics, an emerging data science focused on the technological and methodological aspects of the outbreak data pipeline, from collection to analysis, modelling and reporting to inform outbreak response. In this article, we assess the current state of the field. After laying out the context of outbreak response, we critically review the most common analytics components, their inter-dependencies, data requirements and the type of information they can provide to inform operations in real time. We discuss some challenges and opportunities and conclude on the potential role of outbreak analytics for improving our understanding of, and response to outbreaks of emerging pathogens.This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control‘. This theme issue is linked with the earlier issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’.
AU  - Polonsky,JA
AU  - Baidjoe,A
AU  - Kamvar,ZN
AU  - Cori,A
AU  - Durski,K
AU  - Edmunds,WJ
AU  - Eggo,RM
AU  - Funk,S
AU  - Kaiser,L
AU  - Keating,P
AU  - de,Waroux OLP
AU  - Marks,M
AU  - Moraga,P
AU  - Morgan,O
AU  - Nouvellet,P
AU  - Ratnayake,R
AU  - Roberts,CH
AU  - Whitworth,J
AU  - Jombart,T
DO  - 10.1098/rstb.2018.0276
PY  - 2019///
SN  - 0962-8436
TI  - Outbreak analytics: a developing data science for informing the response to emerging pathogens
T2  - Philosophical Transactions B: Biological Sciences
UR  - http://dx.doi.org/10.1098/rstb.2018.0276
UR  - http://hdl.handle.net/10044/1/70268
VL  - 374
ER  -
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