Author: Corey M Peak; Lauren M Childs; Yonatan H Grad; Caroline O Buckee
Title: Containing Emerging Epidemics: a Quantitative Comparison of Quarantine and Symptom Monitoring Document date: 2016_8_31
ID: 2j4z5rp8_54
Snippet: Partial rank correlation coefficients are calculated to identify the most influential disease characteristics (e.g. duration of infectiousness) and intervention performance metrics (e.g. isolation effectiveness). In order to remove dependence between the parameters jointly fit through the particle filtering method above, we use Latin Hypercube Sampling to draw 5,000 sets from each marginal posterior parameter distribution independently. To maximi.....
Document: Partial rank correlation coefficients are calculated to identify the most influential disease characteristics (e.g. duration of infectiousness) and intervention performance metrics (e.g. isolation effectiveness). In order to remove dependence between the parameters jointly fit through the particle filtering method above, we use Latin Hypercube Sampling to draw 5,000 sets from each marginal posterior parameter distribution independently. To maximize coverage of the parameter space we allowed fractional parameters (γ, PCT, PINF, ) to range from 0 to 1, delays (DCT, DSM) to range from 0 to 7 days, ! to range from 1 to 5, and the incubation period ( !"# ) to be shrunk by up to 50% or stretched by up to 150%.
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