Selected article for: "vaccine wild type and wild type strain"

Author: Metzger, Vincent T.; Lloyd-Smith, James O.; Weinberger, Leor S.
Title: Autonomous Targeting of Infectious Superspreaders Using Engineered Transmissible Therapies
  • Document date: 2011_3_17
  • ID: 0gt21051_35
    Snippet: Parameter definitions, values, and corresponding references are shown in Table S1 in Text S1. The transmission probabilities per partnership are denoted b Y X where Y represents the disease state of the source of the infection, and X represents the viral strain (which is wild-type HIV, denoted X = W, for the vaccine model). The perpartnership transmission probability b I W (describing transmission of wild-type HIV by individuals in the I disease .....
    Document: Parameter definitions, values, and corresponding references are shown in Table S1 in Text S1. The transmission probabilities per partnership are denoted b Y X where Y represents the disease state of the source of the infection, and X represents the viral strain (which is wild-type HIV, denoted X = W, for the vaccine model). The perpartnership transmission probability b I W (describing transmission of wild-type HIV by individuals in the I disease state) is set to agree with the weighted average of the Baggaley model [12] and b A W is the per-partnership probability of wild-type HIV infection originating from an AIDS patient, and is set following the Baggaley model [12] . Consideration of alternative parameterizations of the viral load transmission curve did not qualitatively affect the results (see Text S1). The parameters b I W and c 1 are static parameters that represent the transmission probability and the duration of the asymptomatic phase of individuals infected with only wild-type virus. In contrast, to describe quantities that depend on the specific design of the TIP, such as: (i) transmission probabilities, and (ii) the duration of the asymptomatic period, functions are used in place of parameters. These functions are calculated based on measured correlations between transmission, disease progression, and viral load [25, 26] where viral load is predicted from the in vivo TIP model (see Text S1). For example, the transmission probabilities in the presence of TIP and the duration of the asymptomatic phase in dually-infected individuals in the TIP population models are represented by functions of steady-state viral load (i.e. viral set point) as predicted by the in vivo model (see Table S3 in Text S1 for a description of the transmission-probability functions). The function c 2 V ð Þ is used to compute the duration of the asymptomatic phase in duallyinfected individuals, and is also calculated in Text S1.

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