ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019
How decision makers can use quantitative approaches to guide outbreak responses.
Article 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 37 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
37 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of Integrated Disease Surveillance and Response (IDSR) implementation in the African region.PloS one · 2021Pooled it
- Recommendations for the analysis of leading indicators in epidemic surveillance.PLOS digital health · 2026Review
- Optimizing wild bird fecal surveillance sites for HPAI through risk estimation using machine learning algorithms.One health (Amsterdam, Netherlands) · 2026Article
- Highly Pathogenic Avian Influenza: Tracking the Progression from IAV (H5N1) to IAV (H7N9) and Preparing for Emerging Challenges.Microorganisms · 2025Review
- Epidemiological Study and Time Series Modeling of Waterborne and Foodborne Disease Outbreaks in Northwestern Iran: 2016-2023.Iranian journal of public health · 2025Article
- Performance Metrics for Measles Response Optimization in the United States: Considerations for Public Health Research, Policy, and Practice.Public health reports (Washington, D.C. : 1974) · 2025Article
- An Approach to, and Tool for, Predicting the Time Course of an Infectious Disease Outbreak as a Function of Behavioral Interventions.Infection and drug resistance · 2025Article
- Socioeconomic conditions exacerbated by the coronavirus in the Eastern Cape province of South Africa.Frontiers in public health · 2025Article
- Open-sourced modeling and simulating tools for decision-makers during an emerging pandemic or epidemic - Systematic evaluation of utility and usability: A scoping review update.Dialogues in health · 2024Article
- How mathematical modelling can inform outbreak response vaccination.BMC infectious diseases · 2024Review
- The Arbovirus Mapping and Prediction (ArboMAP) system for West Nile virus forecasting.JAMIA open · 2024Article
- Epidemiological Data Mining for Assisting with Foodborne Outbreak Investigation.Foods (Basel, Switzerland) · 2023Article
- Nurses' Experiences of Care in Portuguese Nursing Homes during the COVID-19 Pandemic: A Focus Group Study.International journal of environmental research and public health · 2023Article
- The interplay of social constraints and individual variation in risk tolerance in the emergence of superspreaders.Journal of the Royal Society, Interface · 2023Article
- COVID-19 Contact Tracing as an Indicator for Evaluating a Pandemic Situation: Simulation Study.JMIR public health and surveillance · 2023Article
- Article
- Geo-temporal patterns to design cost-effective interventions for zoonotic diseases -the case of brucellosis in the country of Georgia.Frontiers in veterinary science · 2023Article
- Article
- Improving morbidity information in Portugal: Evidence from data linkage of COVID-19 cases surveillance and mortality systems.International journal of medical informatics · 2022Observational
- Assessment of Food and Waterborne Viral Outbreaks by Using Field Epidemiologic, Modern Laboratory and Statistical Methods-Lessons Learnt from Seven Major Norovirus Outbreaks in Finland.Pathogens (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Decision makers are responsible for directing staffing, logistics, selecting public health interventions, communicating to professionals and the public, planning future response needs, and establishing strategic and tactical priorities along with their funding requirements. Decision makers need to rapidly synthesize data from different experts across multiple disciplines, bridge data gaps and translate epidemiological analysis into an operational set of decisions for disease control. Analytic approaches can be defined for specific response phases: investigation, scale-up and control. These approaches include: improved applications of quantitative methods to generate insightful epidemiological descriptions of outbreaks; robust investigations of causal agents and risk factors; tools to assess response needs; identifying and monitoring optimal interventions or combinations of interventions; and forecasting for response planning. Data science and quantitative approaches can improve decision-making in outbreak response. To realize these benefits, we need to develop a structured approach that will improve the quality and timeliness of data collected during outbreaks, establish analytic teams within the response structure and define a research agenda for data analytics in outbreak response. 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.