活动性结核病诊断策略建模的系统综述

数据集获取（Figshare）

• 源站标题：Modeling of Novel Diagnostic Strategies for Active Tuberculosis – A Systematic Review: Current Practices and Recommendations
• DOI：10.1371/journal.pone.0110558
• 发布日期：2014-10-23
• 文件数：2 个
• 文件总体积：201.22 KB
• 源站页面：https://plos.figshare.com/articles/dataset/_Modeling_of_Novel_Diagnostic_Strategies_for_Active_Tuberculosis_8211_A_Systematic_Review_Current_Practices_and_Recommendations_/1220357

命令行下载

curl -L -o "Checklist_S1.doc" "https://ndownloader.figshare.com/files/1763574"
curl -L -o "Data_S1.docx" "https://ndownloader.figshare.com/files/1763575"

文件清单

• Checklist_S1.doc（63.49 KB）
• Data_S1.docx（137.73 KB）

文件总体积 201.22 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Introduction
The field of diagnostics for active tuberculosis (TB) is rapidly developing. TB diagnostic modeling can help to inform policy makers and support complicated decisions on diagnostic strategy, with important budgetary implications. Demand for TB diagnostic modeling is likely to increase, and an evaluation of current practice is important. We aimed to systematically review all studies employing mathematical modeling to evaluate cost-effectiveness or epidemiological impact of novel diagnostic strategies for active TB.
Methods
Pubmed, personal libraries and reference lists were searched to identify eligible papers. We extracted data on a wide variety of model structure, parameter choices, sensitivity analyses and study conclusions, which were discussed during a meeting of content experts.
Results & Discussion
From 5619 records a total of 36 papers were included in the analysis. Sixteen papers included population impact/transmission modeling, 5 were health systems models, and 24 included estimates of cost-effectiveness. Transmission and health systems models included specific structure to explore the importance of the diagnostic pathway (n = 4), key determinants of diagnostic delay (n = 5), operational context (n = 5), and the pre-diagnostic infectious period (n = 1). The majority of models implemented sensitivity analysis, although only 18 studies described multi-way sensitivity analysis of more than 2 parameters simultaneously. Among the models used to make cost-effectiveness estimates, most frequent diagnostic assays studied included Xpert MTB/RIF (n = 7), and alternative nucleic acid amplification tests (NAATs) (n = 4). Most (n = 16) of the cost-effectiveness models compared new assays to an existing baseline and generated an incremental cost-effectiveness ratio (ICER).
Conclusion
Although models have addressed a small number of important issues, many decisions regarding implementation of TB diagnostics are being made without the full benefits of insight from mathematical models. Further models are needed that address a wider array of diagnostic and epidemiological settings, that explore the inherent uncertainty of models and that include additional e

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0110558（source: https://plos.figshare.com/articles/dataset/_Modeling_of_Novel_Diagnostic_Strategies_for_Active_Tuberculosis_8211_A_Systematic_Review_Current_Practices_and_Recommendations_/1220357）。