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用密度调整的地图投影可视化 HIV 观察队列的地理分布。

Visualizing the Geography of HIV Observational Cohorts With Density-Adjusted Cartograms.

机构信息

Division of Epidemiology, Department of Medicine, Vanderbilt University School of Medicine, Nashville, TN.

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD.

出版信息

J Acquir Immune Defic Syndr. 2022 Apr 15;89(5):473-480. doi: 10.1097/QAI.0000000000002903.

Abstract

BACKGROUND

Maps are potent tools for describing the spatial distribution of population and disease characteristics and, thereby, for appropriately targeting public health interventions. People with HIV (PWH) tend to live in densely populated and spatially compact areas that may be difficult to visualize on maps using unadjusted geographic or political borders.

SETTING

To illustrate these challenges, we used geographic data from adult PWH at the Vanderbilt Comprehensive Care Clinic (VCCC) in Nashville, Tennessee, and aggregated data from the North American AIDS Cohort Collaboration on Research and Design (NA-ACCORD) from 1998 to 2015.

METHODS

We compared choropleth maps that use differential shading of political/geographic boundaries with density-adjusted cartograms that allow for shading and deformed boundaries according to a variable of interest, such as PWH.

RESULTS

Cartograms enlarged high-burden areas and shrank low-burden areas of PWH, improving visual interpretation of where to focus HIV prevention and mitigation efforts, when compared with choropleth maps. Cartograms may also demonstrate cohort representativeness of underlying populations (eg, Tennessee for VCCC or the United States for NA-ACCORD), which can guide efforts to assess external validity and improve generalizability.

CONCLUSION

Choropleth maps and cartograms offer powerful visual evidence of the geographic distribution of HIV disease and cohort representation and should be used to guide targeted public health interventions.

摘要

背景

地图是描述人口和疾病特征空间分布的有力工具,因此可用于有针对性地开展公共卫生干预。艾滋病毒感染者(PLHIV)往往居住在人口密集且空间紧凑的地区,如果使用未经调整的地理或政治边界在地图上显示这些地区可能会很困难。

地点

为了说明这些挑战,我们使用了来自田纳西州纳什维尔范德比尔特综合护理诊所(VCCC)的成年 PLHIV 的地理数据,以及来自 1998 年至 2015 年的北美艾滋病队列合作研究与设计(NA-ACCORD)的汇总数据。

方法

我们比较了使用不同阴影来表示政治/地理边界的专题地图与密度调整的变形地图,后者可以根据感兴趣的变量(如 PLHIV)对阴影和变形边界进行着色。

结果

与专题地图相比,变形地图扩大了高负担地区,缩小了低负担地区,从而改善了对 HIV 预防和缓解工作重点的视觉解释。变形地图还可以展示队列所代表的基础人群(例如 VCCC 的田纳西州或 NA-ACCORD 的美国)的代表性,这有助于评估外部有效性并提高可推广性。

结论

专题地图和变形地图提供了有关 HIV 疾病和队列代表性的地理分布的有力视觉证据,应将其用于指导有针对性的公共卫生干预措施。

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