Selected article for: "symptom onset and time infection"

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_62
    Snippet: The model simulates a branching network of infected individuals only. An individual is assigned characteristics sampled from distributions defined for each disease ( Table S1 ). The incubation period ( !"# ), i.e. the time from infection to symptom onset, is drawn from published distributions ( Table 2 ). The duration of infectiousness ( !"# ), time of peak infectiousness ( ! ), and time offset between the ends of the latent and incubation perio.....
    Document: The model simulates a branching network of infected individuals only. An individual is assigned characteristics sampled from distributions defined for each disease ( Table S1 ). The incubation period ( !"# ), i.e. the time from infection to symptom onset, is drawn from published distributions ( Table 2 ). The duration of infectiousness ( !"# ), time of peak infectiousness ( ! ), and time offset between the ends of the latent and incubation periods ( !""#$% ) are drawn from the joint posterior distribution generated by the sequential Monte-Carlo (SMC) particle filtering method described in S2 Appendix. For clarity, we describe the method for an individual , but the following process is repeated for an initial population of 1,000 individuals who each initiate distinct trees.

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