ArticleStatistics in medicine2016
Identifying cost-effective dynamic policies to control epidemics.
Article in Statistics in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of the Costs Relating to Non-pharmaceutical Interventions Against Infectious Disease Outbreaks.Applied health economics and health policy · 2021Pooled it
- Evaluating COVID-19 vaccine allocation policies using Bayesian m-top exploration.Scientific reports · 2026Article
- Can past variants of SARS-CoV-2 predict the impact of future variants? Machine learning for early warning of US counties at risk.Health care management science · 2025Article
- Reinforcement learning for healthcare operations management: methodological framework, recent developments, and future research directions.Health care management science · 2025Review
- A general framework for optimising cost-effectiveness of pandemic response under partial intervention measures.Scientific reports · 2022Article
- Adaptive Policies to Balance Health Benefits and Economic Costs of Physical Distancing Interventions during the COVID-19 Pandemic.Medical decision making : an international journal of the Society for Medical Decision Making · 2021Article
- Infectious disease pandemic planning and response: Incorporating decision analysis.PLoS medicine · 2020Review
- Process integration for emerging challenges: optimal allocation of antivirals under resource constraints.Clean technologies and environmental policy · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
We describe a mathematical decision model for identifying dynamic health policies for controlling epidemics. These dynamic policies aim to select the best current intervention based on accumulating epidemic data and the availability of resources at each decision point. We propose an algorithm to approximate dynamic policies that optimize the population's net health benefit, a performance measure which accounts for both health and monetary outcomes. We further illustrate how dynamic policies can be defined and optimized for the control of a novel viral pathogen, where a policy maker must decide (i) when to employ or lift a transmission-reducing intervention (e.g. school closure) and (ii) how to prioritize population members for vaccination when a limited quantity of vaccines first become available. Within the context of this application, we demonstrate that dynamic policies can produce higher net health benefit than more commonly described static policies that specify a pre-determined sequence of interventions to employ throughout epidemics. Copyright © 2016 John Wiley & Sons, Ltd.
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Registered trials
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