ArticlePLoS currents2018
Vulnerabilities Associated with Post-disaster Declines in HIV-testing: Decomposing the Impact of Hurricane Sandy.
Article in PLoS currents, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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Who cites it
5 citing papers in PubMed.
- Exploring the associations of weather and climate with HIV in sub-Saharan Africa: a systematic review.BMJ public health · 2025Article
- Excess CMS morbidity and FEMA declarations: Phenome Wide Association Study of Generalized Linear Model interactions between CMS diagnostic code utilization and FEMA Incident types, 1999-2020.Informatics in medicine unlocked · 2025Article
- The impact of earthquakes in Latin America on the continuity of HIV care: A retrospective observational cohort study.Public health in practice (Oxford, England) · 2024Article
- Addressing the Impact of Climate Change on Sexual and Reproductive Health Among Adolescent Girls and Young Women in Low- and Middle-Income Countries.Global health, science and practice · 2024Article
- Exploring linkages between climate change and sexual health: a scoping review protocol.BMJ open · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionUsing Interrupted Time Series Analysis and generalized estimating equations, this study identifies factors that influence the size and significance of Hurricane Sandy's estimated impact on HIV testing in 90 core-based statistical areas from January 1, 2011 to December 31, 2013.
methodsGeneralized estimating equations were used to examine the effects of sociodemographic and storm-related variables on relative change in HIV testing resulting from Interrupted Time Series analyses.
resultsThere is a significant negative relationship between HIV prevalence and the relative change in testing at all time periods. A one unit increase in HIV prevalence corresponds to a 35% decrease in relative testing the week of the storm and a 14% decrease in relative testing at week twelve. Building loss was also negatively associated with relative change for all time points. For example, a one unit increase in building loss at week 0 corresponds with an 8% decrease in the relative change in testing (p=0.0001) and a 2% at week twelve (p=0.001). DISCUSSION: Our results demonstrate that HIV testing can be negatively affected during public health emergencies. Communities with high percentages of building loss and significant HIV disease burden should prioritize resumption of testing to support HIV prevention.
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Registered trials
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