TY - JOUR T1 - Containing Emerging Epidemics: a Quantitative Comparison of Quarantine and Symptom Monitoring JF - bioRxiv DO - 10.1101/072652 SP - 072652 AU - Corey M Peak AU - Lauren M Childs AU - Yonatan H Grad AU - Caroline O Buckee Y1 - 2016/01/01 UR - http://biorxiv.org/content/early/2016/10/04/072652.abstract N2 - Strategies for containing an emerging infectious disease outbreak must be non-pharmaceutical when drugs or vaccines for the pathogens do not yet exist or are unavailable. The success of these non-pharmaceutical strategies will not only depend on the effectiveness of quarantine or other isolation measures, but also on the epidemiological characteristics of the infection. There is currently no systematic framework to assess the relationship between different containment strategies and the natural history and epidemiological dynamics of the pathogen, however. 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 policy-makers on how best to use non-pharmaceutical interventions to contain emerging outbreaks and prioritize research during an outbreak of a novel 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. 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 characterized for an emerging pathogen in order to make an informed decision between quarantine and symptom monitoring. ER -