肯尼亚西部HIV护理参与率和死亡率估计数据集

数据集获取（Figshare）

• 源站标题：Population-based estimates of engagement in HIV care and mortality using double-sampling methods following home-based counseling and testing in western Kenya
• DOI：10.1371/journal.pone.0223187
• 发布日期：2019-10-02
• 文件数：4 个
• 文件总体积：3.06 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Population-based_estimates_of_engagement_in_HIV_care_and_mortality_using_double-sampling_methods_following_home-based_counseling_and_testing_in_western_Kenya/9931013

命令行下载

curl -L -o "pone.0223187.s001.docx" "https://ndownloader.figshare.com/files/17871077"
curl -L -o "pone.0223187.s002.docx" "https://ndownloader.figshare.com/files/17871080"
curl -L -o "pone.0223187.s003.docx" "https://ndownloader.figshare.com/files/17871083"
curl -L -o "pone.0223187.s004.tiff" "https://ndownloader.figshare.com/files/17871086"

文件清单

• pone.0223187.s001.docx（17.27 KB）
• pone.0223187.s002.docx（13.80 KB）
• pone.0223187.s003.docx（14.50 KB）
• pone.0223187.s004.tiff（3.01 MB）

文件总体积 3.06 MB（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
Data on engagement in HIV care from population-based samples in sub-Saharan Africa are limited. The objective of this study was to use double-sampling methods to estimate linkage to HIV care, ART initiation, and mortality among all adults diagnosed with HIV by a comprehensive home-based counseling and testing (HBCT) program in western Kenya.
Methods
HBCT was conducted door-to-door from December 2009 to April 2011 in three sub-counties of western Kenya by AMPATH (Academic Model Providing Access to Healthcare). For those identified as HIV-positive, data were merged with electronic medical records to determine engagement with HIV care. A randomly-drawn follow-up sample of 120 adults identified via HBCT who had not linked to care as of June 2015 in Bunyala sub-county were visited by trained fieldworkers to ascertain HIV care engagement and vital status. Double-sampled data were used to generate, via multinomial regression, predicted probabilities of engagement in care and mortality among those whose status could not be ascertained by matching with the electronic medical records in the three catchments.
Results
Incorporating information from the double-sampling yielded estimates of prospective linkage to HIV care that ranged from 40–45%. Mortality estimates of those who did not engage in care following HBCT ranged from 12–16%. Among those who linked to care following HBCT, between 72–81% initiated ART.
Discussion
In settings without universal national identifiers, rates of linkage to care from community-based programs may be subject to substantial underestimation. Follow-up samples of those with missing information can be used to partially correct this bias, as has been demonstrated previously for mortality among those who were lost-to-care programs. There is a need for harmonized data systems across health systems and programs.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0223187（source: https://plos.figshare.com/articles/dataset/Population-based_estimates_of_engagement_in_HIV_care_and_mortality_using_double-sampling_methods_following_home-based_counseling_and_testing_in_western_Kenya/9931013）。