夸祖鲁-纳塔尔省HIV感染者共病与就医行为横断面研究数据

数据集获取（Figshare）

• 源站标题：Comorbidities of HIV infection and health care seeking behavior among HIV infected patients attending public sector healthcare facilities in KwaZulu-Natal: A cross sectional study
• DOI：10.1371/journal.pone.0170983
• 发布日期：2017-02-02
• 文件数：3 个
• 文件总体积：1.59 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Comorbidities_of_HIV_infection_and_health_care_seeking_behavior_among_HIV_infected_patients_attending_public_sector_healthcare_facilities_in_KwaZulu-Natal_A_cross_sectional_study/4612372

命令行下载

curl -L -o "S1 Publication.pdf" "https://ndownloader.figshare.com/files/7509436"
curl -L -o "S1 File.xlsx" "https://ndownloader.figshare.com/files/7509445"
curl -L -o "S2 File.xlsx" "https://ndownloader.figshare.com/files/7509466"

文件清单

• S1 Publication.pdf（724.82 KB）
• S1 File.xlsx（818.82 KB）
• S2 File.xlsx（50.08 KB）

文件总体积 1.59 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

Background
HIV-infected people may present with co-infections, comorbidities, and side effects associated with antiretroviral therapy. This study explored the prevalence of comorbid health problems and determined the extent of the use of traditional medicine for treatment of co-infections, comorbidities of HIV infection and side effects.
Methods
A cross sectional study, using researcher-administered questionnaires, was carried out among HIV-infected patients in eight public sector healthcare facilities in KwaZulu-Natal between April and October 1024. Self-reports of comorbidities, co-infections and side effects were analyzed with respect to factors such as age, gender, race, and health care seeking behavior including the use of traditional medicine. Cross-tabulations were conducted to test the association between factors and the use of traditional medicine, using Pearson chi-squared (χ2) test. Simple and multiple logistic regression models tested the association of the use of traditional medicine with age, gender, race, side effects and comorbidities. Odds ratios with 95% confidence intervals were estimated. Missing values were handled, defined and treated as missing values in the final analysis.
Results
Overall, 29.5% (n = 516) of the survey participants reported having other comorbidities and or co-infections besides their HIV condition. Same participants reported two or more comorbidities. Almost forty percent of participants (208/531, 39.17%) reported having hypertension as the most noninfectious comorbidity while 21.65% of participants (115/531) had tuberculosis accounting for the most infectious comorbidity. Almost eight percent of participants (142/1748, 8.12%) reported using traditional medicine after starting with cART. Sixty out of 142 participants (60/142, 42.25%) on cART resorted to the use of traditional medicine for the management of comorbidities and or co-infections of their HIV infection. Overall, 311 out of 1748 participants (17.80%) complained of ARVs related side-effects. Forty-five percent of those with side-effects (141/311, 45.34%) reported taking various types of medicines for treating side-effects, with 90.07% of them (127/141) using med

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0170983（source: https://plos.figshare.com/articles/dataset/Comorbidities_of_HIV_infection_and_health_care_seeking_behavior_among_HIV_infected_patients_attending_public_sector_healthcare_facilities_in_KwaZulu-Natal_A_cross_sectional_study/4612372）。