Comparing nonpharmaceutical interventions for containing emerging epidemics
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- 28 March 2017
- journal article
- research article
- Published by Proceedings of the National Academy of Sciences in Proceedings of the National Academy of Sciences
- Vol. 114 (15), 4023-4028
- https://doi.org/10.1073/pnas.1616438114
Abstract
Strategies for containing an emerging infectious disease outbreak must be nonpharmaceutical when drugs or vaccines for the pathogen do not yet exist or are unavailable. The success of these nonpharmaceutical strategies will depend on not only the effectiveness of isolation measures but also the epidemiological characteristics of the infection. However, there is currently no systematic framework to assess the relationship between different containment strategies and the natural history and epidemiological dynamics of the pathogen. Here, we compare the effectiveness of quarantine and symptom monitoring, implemented via contact tracing, in controlling epidemics using an agent-based branching model. We examine the relationship between epidemic containment and the disease dynamics of symptoms and infectiousness for seven case-study diseases with diverse natural histories, including Ebola, influenza A, and severe acute respiratory syndrome (SARS). We show that the comparative effectiveness of symptom monitoring and quarantine depends critically on the natural history of the infectious disease, its inherent transmissibility, and the intervention feasibility in the particular healthcare setting. The benefit of quarantine over symptom monitoring is generally maximized for fast-course diseases, but we show the conditions under which symptom monitoring alone can control certain outbreaks. This quantitative framework can guide policymakers on how best to use nonpharmaceutical interventions and prioritize research during an outbreak of an emerging pathogen. Significance Quarantine and symptom monitoring of contacts with suspected exposure to an infectious disease are key interventions for the control of emerging epidemics; however, there does not yet exist a quantitative framework for comparing the control performance of each intervention. Here, we use a mathematical model of seven case-study diseases to show how the choice of intervention is influenced by the natural history of the infectious disease, its inherent transmissibility, and the intervention feasibility in the particular healthcare setting. We use this information to identify the most important characteristics of the disease and setting that need to be considered for an emerging pathogen to make an informed decision between quarantine and symptom monitoring.Keywords
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Funding Information
- HHS | NIH | National Institute of General Medical Sciences (U54GM088558)
- HHS | National Institutes of Health (T32AI007535-16A1)
- HHS | National Institutes of Health (K08-AI104767)
This publication has 36 references indexed in Scilit:
- Modeling and public health emergency responses: Lessons from SARSEpidemics, 2011
- Incubation periods of acute respiratory viral infections: a systematic reviewThe Lancet Infectious Diseases, 2009
- Extracting key information from historical data to quantify the transmission dynamics of smallpoxTheoretical Biology and Medical Modelling, 2008
- Global trends in emerging infectious diseasesNature, 2008
- The Effectiveness of Contact Tracing in Emerging EpidemicsPLOS ONE, 2006
- Particle Methods for Change Detection, System Identification, and ControlProceedings of the IEEE, 2004
- The challenge of emerging and re-emerging infectious diseasesNature, 2004
- Factors that make an infectious disease outbreak controllableProceedings of the National Academy of Sciences, 2004
- Transmission Dynamics and Control of Severe Acute Respiratory SyndromeScience, 2003
- EPIDEMIC CATARRHAL JAUNDICE: AN OUTBREAK IN YORKSHIREBMJ, 1930