ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019
Outbreak analytics: a developing data science for informing the response to emerging pathogens.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 5 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
83 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Mechanistic Models of Influenza Transmission in Commercial Swine Populations: A Systematic Review.Pathogens (Basel, Switzerland) · 2024Pooled it
- Systematic review of global hepatitis E outbreaks to inform response and coordination initiatives.BMC public health · 2023Pooled it
- Electronic data collection, management and analysis tools used for outbreak response in low- and middle-income countries: a systematic review and stakeholder survey.BMC public health · 2021Pooled it
- Systematic review of Integrated Disease Surveillance and Response (IDSR) implementation in the African region.PloS one · 2021Pooled it
- Identification and evaluation of epidemic prediction and forecasting reporting guidelines: A systematic review and a call for action.Epidemics · 2020Pooled it
- Real-time analytical insights for disease surveillance and response during the severe drought and food security crisis, Somalia 2022-2023.Conflict and health · 2026Article
- Knowledge, attitude, and perception of artificial intelligence among medical residents in Oman: readiness for clinical practice.BMC medical education · 2026Article
- A COVID-19 prediction Model based on symptomatology google trends and its optimization.BMC infectious diseases · 2026Article
- Developing and defining core climate and environmental epidemiology competencies for field epidemiology training programs in the Eastern Mediterranean Region: a Delphi study.Frontiers in public health · 2026Article
- Modelling practices, data provisioning, sharing and dissemination needs for pandemic decision-making: a European survey-based modellers' perspective, 2020 to 2022.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025Article
- Data science for pediatric infectious disease: utilizing COVID-19 as a model.Current opinion in infectious diseases · 2025Review
- Proper pandemic preparedness requires an integrated cross-regional effort, the case of the ECLIPSE consortium in America: a narrative review.Journal of health, population, and nutrition · 2025Review
- Unifying human infectious disease models and real-time awareness of population- and subpopulation-level intervention effectiveness.Royal Society open science · 2025Article
- Evaluation of contact tracing performance during an Ebola virus disease outbreak in a complex security environment: the case of North Kivu province, Democratic Republic of the Congo, 2018-2020.Conflict and health · 2025Article
- Assessing the utility of the COVID-19 epidemic Situations of Concern classification system in guiding operational responses to the pandemic in the WHO African region: retrospective analysis.Frontiers in public health · 2025Review
- T-Racing: a modern tool for supporting epidemiological investigation in animal disease outbreaks in Italy.PloS one · 2025Article
- Estimating the risk of zoonotic transmission of swine influenza A variant during agricultural fairs in the United States: a mathematical modeling.Frontiers in veterinary science · 2025Article
- How does policy modelling work in practice? A global analysis on the use of epidemiological modelling in health crises.PLOS global public health · 2025Article
- Policy impact of the Imperial College COVID-19 Response Team: global perspective and United Kingdom case study.Health research policy and systems · 2024Article
- Using real-time modelling to inform the 2017 Ebola outbreak response in DR Congo.Nature communications · 2024Article
23 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
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'.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.