Evidence map›Paper›PMID 37792234›Full record

ArticleAIDS and behavior2024

Place Visitation Data Reveals the Geographic and Racial Disparities of COVID-19 Impact on HIV Service Utilization in the Deep South.

Zhenlong Li, Shan Qiao, Huan Ning, Xiaowen Sun, Jiajia Zhang, Bankole Olatosi, Xiaoming Li

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In one paragraph

Article in AIDS and behavior, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Zhenlong LiGeoinformation and Big Data Research Lab, Department of Geography, University of South Carolina, Columbia, SC, 29208, USA. zhenlong@sc.edu.ORCID http://orcid.org/0000-0002-8938-5466
Shan QiaoBig Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA.
Huan NingGeoinformation and Big Data Research Lab, Department of Geography, University of South Carolina, Columbia, SC, 29208, USA.
Xiaowen SunBig Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA.
Jiajia ZhangBig Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA.
Bankole OlatosiBig Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA.
Xiaoming LiBig Data Health Science Center, University of South Carolina, Columbia, SC, 29208, USA.

Funding

Multilevel Determinants of Racial and Ethnic Disparities in Maternal Morbidity and Mortality in the Context of COVID-19 PandemicR01AI127203 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LI, XIAOMING, LIU, JIHONG · 2017 to 2021
$5.2M
The impacts of HIV-related service interruptions during COVID-19 pandemic in South CarolinaR01AI174892 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI Shan Qiao · 2023 to 2026
$2.8M
Visualizing and predicting new and late HIV diagnosis in South Carolina: A Big Data approachR56AI174896 · NIAID · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI LI, XIAOMING, ZHANG, JIAJIA · 2023 to 2023
$699k
NIH HHS 3R01AI127203-04S1NIH HHS R01AI174892NIH HHS R56AI174896-01A1
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic has posed unprecedented pressure to health care systems, and interrupted health care delivery and access including HIV care in the United States' Deep South, which endures a double epidemic of HIV and COVID-19. Ryan White programs cover HIV care services for over half of PLWH in the Deep South. Given the important role of Ryan White programs, examining the visitation changes to Ryan White facilities during the pandemic offers insights into the impact of the pandemic on HIV healthcare utilization.

objectivesAnalyze the geographic distribution of HIV facility visitors at the county level before and during the pandemic in the nine US states of Deep South (Alabama, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina, Tennessee, Texas) to reveal the geographic and racial disparity in visitation disruption caused by the pandemic.

methodsWe first extracted mobile device-based visitation data for Ryan White HIV facilities in the Deep South during 2019 and 2020. To quantify the disruption in visitations during 2020, we calculated the visitation reduction rate (VRR) for each county, using 2019 data as the baseline. Next, we conducted a spatial analysis of the VRR values to uncover geographical disparities in visitation interruptions. To investigate racial disparities, we performed spatial regression analyses with VRR as the dependent variable, and the percentages of Black, Hispanic, and Asian populations as the independent variables. In this analysis, we controlled for potential confounders.

resultsGeographic disparities in visitation reduction were observed, with all nine Deep South states experiencing significant drops. Georgia experienced the highest visitation loss (VRR = -0.58), followed by Texas (-0.47), Alabama (0.47), and Tennessee (-0.46), while South Carolina had the smallest reductions (-0.11). All the regression models consistently revealed racial disparities in visitation interruption. That is, counties with a higher proportion of Black population tended to have higher RW facility visitation reductions.

conclusionsOur analysis revealed distinct geographic disparities in visitation interruptions at Ryan White HIV facilities in the Deep South during the COVID-19 pandemic in 2020. Furthermore, we found that the Black/African American population experienced a greater disruption at the county level in the Deep South during this period.

Indexed as

COVID-19Healthcare DisparitiesHIV InfectionsBlack or African AmericanFemaleHealth Services AccessibilityHumansMalePandemicsPatient Acceptance of Health CareSoutheastern United Statesbig dataCOVID-19Deep SouthHIV service interruptionRyan White program

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.