优化最后阶段病毒载量检测可及性：即时检测仪器布点的地理空间成本模型

数据集获取（Figshare）

• 源站标题：Optimizing viral load testing access for the last mile: Geospatial cost model for point of care instrument placement
• DOI：10.1371/journal.pone.0221586
• 发布日期：2019-08-26
• 文件数：2 个
• 文件总体积：500.03 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Optimizing_viral_load_testing_access_for_the_last_mile_Geospatial_cost_model_for_point_of_care_instrument_placement/9732254

命令行下载

curl -L -o "pone.0221586.s001.pdf" "https://ndownloader.figshare.com/files/17429180"
curl -L -o "pone.0221586.s002.xlsx" "https://ndownloader.figshare.com/files/17429183"

文件清单

• pone.0221586.s001.pdf（414.99 KB）
• pone.0221586.s002.xlsx（85.04 KB）

文件总体积 500.03 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
Viral load (VL) monitoring programs have been scaled up rapidly, but are now facing the challenge of providing access to the most remote facilities (the “last mile”). For the hardest-to-reach facilities in Zambia, we compared the cost of placing point of care (POC) viral load instruments at or near facilities to the cost of an expanded sample transportation network (STN) to deliver samples to centralized laboratories.
Methods
We extended a previously described geospatial model for Zambia that first optimized a STN for centralized laboratories for 90% of estimated viral load volumes. Amongst the remaining 10% of volumes, facilities were identified as candidates for POC placement, and then instrument placement was optimized such that access and instrument utilization is maximized. We evaluated the full cost per test under three scenarios: 1) POC placement at all facilities identified for POC; 2)an optimized combination of both on-site POC placement and placement at facilities acting as POC hubs; and 3) integration into the centralized STN to allow use of centralized laboratories.
Results
For the hardest-to-reach facilities, optimal POC placement covered a quarter of HIV-treating facilities. Scenario 2 resulted in a cost per test of $39.58, 6% less than the cost per test of scenario 1, $41.81. This is due to increased POC instrument utilization in scenario 2 where facilities can act as POC hubs. Scenario 3 was the most costly at $53.40 per test, due to high transport costs under the centralized model ($36 per test compared to $12 per test in scenario 2).
Conclusions
POC VL testing may reduce the costs of expanding access to the hardest-to-reach populations, despite the cost of equipment and low patient volumes. An optimal combination of both on-site placement and the use of POC hubs can reduce the cost per test by 6–35% by reducing transport costs and increasing instrument utilization.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0221586（source: https://plos.figshare.com/articles/dataset/Optimizing_viral_load_testing_access_for_the_last_mile_Geospatial_cost_model_for_point_of_care_instrument_placement/9732254）。