Selected article for: "serial interval and study serial interval incubation period"

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_74
    Snippet: We used the following method to generate parameter sets that are consistent with the published serial interval and incubation period distributions for each case study disease. The objective of this procedure is not explicitly parameter inference, for which raw data and disease-specific nuance is necessary, but rather a range of parameters to reflect the heterogeneity of each disease in a common framework. Data-informed incubation period and seria.....
    Document: We used the following method to generate parameter sets that are consistent with the published serial interval and incubation period distributions for each case study disease. The objective of this procedure is not explicitly parameter inference, for which raw data and disease-specific nuance is necessary, but rather a range of parameters to reflect the heterogeneity of each disease in a common framework. Data-informed incubation period and serial interval distributions were collected through a literature review. Sequential Monte-Carlo (also known as particle filtering) methods were used to estimate the joint distribution of three disease parameters ( !""#$% , !"# , and ! ) using knowledge of the incubation period and serial interval distributions [28, 29] .

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