HIV母婴传播污名影响模型数据集
基于南非数据的HIV母婴传播概率级联模型数据集,量化污名对消除母婴传播的影响。

基本信息
资源简介
HIV母婴传播污名影响模型数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 3 个文件、合计 75.26 KB,主题涵盖 PMTCT cascade results、stigma、South Africa Background Stigma、MTCT elimination targets、Option B,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Can mother-to-child transmission of HIV be eliminated without addressing the issue of stigma? Modeling the case for a setting in South Africa》。配套论文《Can mother-to-child transmission of HIV be eliminated without addressing the issue of stigma? Modeling the case for a setting in South Africa》发表于 PLOS ONE(2017),DOI:10.1371/journal.pone.0189079。源站首次发布:2017-12-08。
【数据内容】
源站原始描述:Background Stigma and discrimination ontinue to undermine the effectiveness of the HIV response. Despite a growing body of evidence of the negative relationship between stigma and HIV outcomes, there is a paucity of data available on the prevalence of stigma and its impact. We present a probabilistic cascade model to estimate the magnitude of impact stigma has on mother-to-child-transmission (MTCT). Methods The model was parameterized using 2010 data from Johannesburg, South Africa, from which l…
【数据结构与技术规格】
文件数 3 个,合计 75.26 KB。S1 File.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,12.67 KB。S1 Table.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,29.63 KB。S2 Table.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,32.96 KB。数据集 DOI:10.1371/journal.pone.0189079。
【主题与分类】
源站学科分类:Molecular Biology、Biotechnology、Biological Sciences not elsewhere classified、Cancer、Science Policy、Infectious Diseases。主题标签:PMTCT cascade results、stigma、South Africa Background Stigma、MTCT elimination targets、Option B、HIV、drug ineffectiveness、infant infections、model。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/Can_mother-to-child_transmission_of_HIV_be_eliminated_without_addressing_the_issue_of_stigma_Modeling_the_case_for_a_setting_in_South_Africa/5684578
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:J. Prudden, Holly; Hamilton, Matthew; M. Foss, Anna; Adams, Nicole Dzialowy; Stockton, Melissa; Black, Vivian; et al. (2017). Can mother-to-child transmission of HIV be eliminated without addressing the issue of stigma? Modeling the case for a setting in South Africa. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-01,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Can mother-to-child transmission of HIV be eliminated without addressing the issue of stigma? Modeling the case for a setting in South Africa
- DOI:10.1371/journal.pone.0189079
- 发布日期:2017-12-08
- 文件数:3 个
- 文件总体积:75.26 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Can_mother-to-child_transmission_of_HIV_be_eliminated_without_addressing_the_issue_of_stigma_Modeling_the_case_for_a_setting_in_South_Africa/5684578
命令行下载
curl -L -o "S1 File.docx" "https://ndownloader.figshare.com/files/9953857"
curl -L -o "S1 Table.docx" "https://ndownloader.figshare.com/files/9953869"
curl -L -o "S2 Table.docx" "https://ndownloader.figshare.com/files/9953872"
文件清单
S1 File.docx(12.67 KB)S1 Table.docx(29.63 KB)S2 Table.docx(32.96 KB)
文件总体积 75.26 KB(源站 API 实测)。
数据说明
Background
Stigma and discrimination ontinue to undermine the effectiveness of the HIV response. Despite a growing body of evidence of the negative relationship between stigma and HIV outcomes, there is a paucity of data available on the prevalence of stigma and its impact. We present a probabilistic cascade model to estimate the magnitude of impact stigma has on mother-to-child-transmission (MTCT).
Methods
The model was parameterized using 2010 data from Johannesburg, South Africa, from which loss-to-care at each stage of the antenatal cascade were available. Three scenarios were compared to assess the individual contributions of stigma, non-stigma related barriers, and drug ineffectiveness on the overall number of infant infections. Uncertainty analysis was used to estimate plausible ranges. The model follows the guidelines in place in 2010 when the data were extracted (WHO Option A), and compares this with model results had Option B+ been implemented at the time.
Results
The model estimated under Option A, 35% of infant infections being attributed to stigma. This compares to 51% of total infections had Option B+ been implemented in 2010. Under Option B+, the model estimated fewer infections than Option A, due to the availability of more effective drugs. Only 8% (Option A) and 9% (Option B+) of infant infections were attributed to drug ineffectiveness, with the trade-off in the proportion of infections being between stigma and non-stigma-related barriers.
Conclusions
The model demonstrates that while the effect of stigma on retention of women at any given stage along the cascade can be relatively small, the cumulative effect can be large. Reducing stigma may be critical in reaching MTCT elimination targets, because as countries improve supply-side factors, the relative impact of stigma becomes greater. The cumulative nature of the PMTCT cascade results in stigma having a large effect, this feature may be harnessed for efficiency in investment by prioritizing interventions that can affect multiple stages of the cascade simultaneously.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0189079(source: https://plos.figshare.com/articles/dataset/Can_mother-to-child_transmission_of_HIV_be_eliminated_without_addressing_the_issue_of_stigma_Modeling_the_case_for_a_setting_in_South_Africa/5684578)。
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