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Explanation of 'Cost-effectiveness of tick-borne encephalitis vaccination in Slovenian adults'

机译：“斯洛文尼亚成人蜱传脑炎疫苗接种的成本效益”的解释

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Markov models, named after the Russian mathematician Andrey Andreyevich Markov (1856–1922), are used widespread in different scientific disciplines 6. According to Sonnenberg and Beck 7 the use of the Markov models for determining prognosis in medical application was described by Pauker and Beck in 1983. The basis for the original article 1 was this Markov model and the data in Table 1 of the original article 1 were fed into the TreeAge Pro 2011. The window used for the calculations in the model was from the age of 18 to 80 years. A Markov cycle of 1 year was chosen. The assumption was made that all subjects start in the susceptible (well) state. The initial probability of 1 (100 of the cohort began at the susceptible state) below the branch of this state was assigned and was used by TreeAge Pro 2011 only once during the Markov process, to determine where the individuals should spend the first cycle (_stage = 0) of the process. Below the branch of the following state (mild sequelae, moderate sequelae, severe sequelae, death due to TBE, recovered and immune) the initial probability of 0 was entered. All costs and quality weights at the _stage = 0 were equal to the susceptible (well) state since the entire cohort started the cycle in this state. Patients moved through health states based on annual transition probabilities. During each cycle, patients who do not die due to other causes, develop TBE, which may lead to either permanent neurological sequelae, or recovery or death due to TBE. Costs and quality weights were assigned to the specific health state.
机译：马尔可夫模型以俄罗斯数学家安德烈·安德烈耶维奇·马尔科夫（Andrey Andreyevich Markov，1856-1922）的名字命名，在不同的科学学科中被广泛使用[6]。根据Sonnenberg和Beck[7]的说法，Pauker和Beck在1983年描述了马尔可夫模型在医学应用中确定预后的情况。原始文章[1]的基础是这个马尔可夫模型，原始文章[1]的表1中的数据被输入到TreeAge Pro 2011中。模型中用于计算的窗口是从 18 岁到 80 岁。选择了 1 年的马尔可夫周期。假设所有受试者都从易感（良好）状态开始。TreeAge Pro 2011 在马尔可夫过程中仅分配了 1（100% 的队列从易感状态开始）的初始概率，以确定个体应该在哪里度过该过程的第一个周期 （_stage = 0）。在以下状态（轻度后遗症、中度后遗症、重度后遗症、TBE死亡、康复和免疫）的分支下方，输入初始概率为0。_stage = 0 时的所有成本和质量权重都等于易感（良好）状态，因为整个队列都以这种状态开始循环。患者根据年度过渡概率在健康状态中移动。在每个周期中，未因其他原因死亡的患者会发生 TBE，这可能导致永久性神经系统后遗症，或因 TBE 而康复或死亡。成本和质量权重被分配给特定的健康状态。

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  • 来源
    《Vaccine》 |2014年第11期|1227-1228|共2页
  • 作者

    Smit Renata;

  • 作者单位

    University of Ljubljana, Slovenia;

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  • 原文格式 PDF
  • 正文语种 英语
  • 中图分类 医学免疫学;
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