Outbreak analytics: a developing data science for informing the response to emerging pathogens

Article Article scientifique Article Outbreak analytics: a developing data science for informing the response to emerging pathogens eng 2019 author Polonsky Jonathan Aaron 0000-0002-8634-4255 888636 author Baidjoe Amrish author Kamvar Zhian N author Cori Anne author Durski Kara author Edmunds W John author Eggo Rosalind M author Funk Sebastian author Kaiser Laurent 28229 author Keating Patrick author de Waroux Olivier le Polain author Marks Michael author Moraga Paula author Morgan Oliver 744924 author Nouvellet Pierre author Ratnayake Ruwan author Roberts Chrissy H author Whitworth Jimmy author Jombart Thibaut 20180276 10.1098/rstb.2018.0276 31104603 0962-8436 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6558557/ 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'. Epidemics Infectious Methods Pipeline Software Tools Dewey 616 56 Département de médecine 221 false 400 Groupe Laurent Kaiser (virologie clinique) 668 Philosophical Transactions of the Royal Society. B, Biological Sciences 374 1776 e8a64681-ce3f-4e3c-a9f9-72e195b0a70c Article (Published version) Public Outbreak_analytics_a_devoloping_data_science_informing_response_emerging_pathogens_Philosophical_transactionsB.pdf 891237 application/pdf CC BY openAccess Faculté de médecine / Section de médecine clinique / Département de médecine

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Outbreak analytics: a developing data science for informing the response to emerging pathogens	Philosophical Transactions of the Royal Society. B, Biological Sciences	2019	268	112
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