Matthews Lynn T, Long Dustin M, Bassler John, Nassel Ariann, Levitan Emily B, Heath Sonya L, Rastegar Jeremiah, Pratt Madeline C, Kempf Mirjam-Collette
Division of Infectious Disease, Department of Medicine, Heersink School of Medicine, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, Alabama, USA.
Open Forum Infect Dis. 2023 Mar 3;10(3):ofad107. doi: 10.1093/ofid/ofad107. eCollection 2023 Mar.
In the United States (US), 44% of people with human immunodeficiency virus (PWH) live in the Southeastern census region; many PWH remain undiagnosed. Novel strategies to inform testing outreach in rural states with dispersed HIV epidemics are needed.
Alabama state public health HIV testing surveillance data from 2013 to 2017 were used to estimate time from infection to HIV diagnosis using CD4 T-cell depletion modeling, mapped to county. Diagnostic HIV tests performed during 2013-2021 by commercial testing entities were used to estimate HIV tests per 100 000 adults (aged 15-65 years), mapped to client ZIP Code Tabulation Area (ZCTA). We then defined testing "cold spots": those with <10% adults tested plus either (1) within or bordering 1 of the 13 counties with HIV prevalence >400 cases per 100 000 population or (2) within a county with average time to diagnosis greater than the state average to inform testing outreach.
Time to HIV diagnosis was a median of 3.7 (interquartile range [IQR], 0-9.2) years across Alabama, with a range of 0.06-12.25 years. Approximately 63% of counties (n = 42) had a longer time to diagnosis compared to national US estimates. Six hundred forty-three ZCTAs tested 17.3% (IQR, 10.3%-25.0%) of the adult population from 2013 to 2017. To prioritize areas for testing outreach, we generated maps to describe 47 areas of HIV-testing cold spots at the ZCTA level.
Combining public health surveillance with commercial testing data provides a more nuanced understanding of HIV testing gaps in a state with a rural HIV epidemic and identifies areas to prioritize for testing outreach.
在美国,44%的人类免疫缺陷病毒感染者居住在东南部人口普查区;许多感染者仍未被诊断出来。需要新的策略来推动在艾滋病疫情分散的农村州开展检测推广工作。
利用2013年至2017年阿拉巴马州公共卫生部门的艾滋病毒检测监测数据,通过CD4 T细胞耗竭模型估算从感染到艾滋病毒诊断的时间,并绘制到各县。使用商业检测机构在2013 - 2021年期间进行的诊断性艾滋病毒检测,估算每10万名成年人(15 - 65岁)的艾滋病毒检测次数,并绘制到客户邮政编码分区(ZCTA)。然后,我们定义了检测“冷点”:检测的成年人比例低于10%,且满足以下条件之一:(1)在艾滋病毒患病率高于每10万人400例的13个县中的1个县内或其边界;(2)在诊断平均时间超过该州平均水平的县内,以指导检测推广工作。
阿拉巴马州艾滋病毒诊断的中位时间为3.7年(四分位间距[IQR],0 - 9.2年),范围为0.06 - 12.25年。与美国全国估计值相比,约63%的县(n = 42)诊断时间更长。从2013年到2017年,643个ZCTA检测了17.3%(IQR,10.3% - 25.0%)的成年人口。为了确定检测推广的优先区域,我们绘制了地图,描述了ZCTA层面的47个艾滋病毒检测冷点区域。
将公共卫生监测与商业检测数据相结合,能更细致地了解农村地区艾滋病疫情州的艾滋病毒检测差距,并确定检测推广的优先区域。