Journal
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES
Volume 374, Issue 1776, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rstb.2018.0276
Keywords
epidemics; infectious; methods; tools; pipeline; software
Categories
Funding
- Global Challenges Research Fund (GCRF) [ES/P010873/1]
- UK Public Health Rapid Support Team - United Kingdom Department of Health and Social Care
- National Institute for Health Research-Health Protection Research Unit for Modelling Methodology
- National Institute for Health Research [PR-OD-1017-20001]
- HDR UK Innovation Fellowship [MR/S003975/1]
- Medical Research Council
- Wellcome Trust [210758/Z/18/Z]
- ESRC [ES/P010873/1] Funding Source: UKRI
- MRC [MR/S003975/1, MR/R015600/1] Funding Source: UKRI
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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 becomingincreasingly complex, owingtothediversityintypes ofdata, 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, fromcollection 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 interdependencies, data requirements and the type of information they can provide to informoperations 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'.
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