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Data for: Modelling the effects of environmental heterogeneity within the lung on the tuberculosis life-cycle

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Mendeley Data2024-03-27 更新2024-06-26 收录
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资源简介:
Data used to obtain results for TBMetapopPy simulations. Results folder contains the files used to create simulations detailed in the "Methods" and "Results" chapters of the publication. "Sensitivity Analysis" contains the files used to create the simulations detailed in the "Sensitivity Analysis" chapter. In both cases, each folder contains 2 files: Config.ini is the configuration file detailing the model parameters. Output.json is a JSON file of results, stratified by parameter sample, repetition and timestep respectively. The state of the active patches (i.e. those with infection) on the network is recorded at each 1.0 day. For Sensitivity Analysis, in the configuration file, each parameter is defined with a distribution type and two values. For uniformly distributed parameters, these values represent a maximum and minimum value for the parameter. For normally distributed parameters, these values represent the mean value and standard deviation from the mean.

用于获取TBMetapopPy模拟结果的数据集。结果文件夹内含用于复现该论文“方法”与“结果”章节中所详述模拟实验的相关文件;“敏感性分析”文件夹内含用于复现该论文“敏感性分析”章节中所详述模拟实验的相关文件。两类文件夹均包含两个文件:其中Config.ini为配置文件,详述模型各项参数;Output.json为结果JSON文件,分别按参数样本、重复实验次数与时间步进行分层存储。网络中活跃斑块(即存在感染的斑块)的状态将以每1.0天为间隔进行记录。针对敏感性分析场景,配置文件中每个参数均会定义其分布类型与两个参数值:对于均匀分布的参数,这两个值分别代表该参数的最大值与最小值;对于正态分布的参数,这两个值分别代表该参数的均值与标准差。
创建时间:
2024-01-23
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