“Big Events” and HIV transmission dynamics: estimating time since HIV infection from deep sequencing data among sex workers and their clients in Dnipro, Ukraine
Listed in
This article is not in any list yet, why not save it to one of your lists.Abstract
Background
Major geopolitical events and structural shocks are thought to play a significant role in shaping HIV epidemics by influencing individual behaviours, reshaping social networks, and impacting HIV prevention and treatment programs. Here, we describe individual-level measures of estimated time since HIV infection (ETI) from viral next generation sequencing data among female sex workers and their clients in relation to significant geopolitical events in Ukraine.
Methods
The Dynamics study , is a cross-sectional integrated biological and behavioural survey conducted among female sex workers and their clients in Dnipro, Ukraine (December 2017 to March 2018). We were able to successfully sequence a portion of the HIV pol gene on dried blood spot specimens among n = 5/9 clients and n = 5/16 female sex workers who tested positive for HIV (total n = 10/25) using an in-house drug resistance genotyping assay. The “HIV EVO” Intrapatient HIV Evolution web-based tool ( https://biozentrum.unibas.ch/ ) was used to infer ETI from viral diversity.
Results
The median ETI for female sex workers and their clients was 5.4 years (IQR = 2.9, 6.6) and 6.5 years (IQR = 5.4, 10.8) respectively. Nearly all HIV acquisition events ( n =7/10; 70%) were estimated to have occurred between the Great Recession (2008 – 2009) and the War in Donbas (May 2014 – February 2022). In general, ETI suggests that HIV acquisition occurred earlier among clients (2012 [IQR = 2007, 2013]) compared to sex workers (2013 [IQR = 2012, 2016]).
Conclusion
Our findings suggest that most HIV acquisition in this small subset of female sex workers and clients living with HIV, occurred during periods of economic decline. Molecular studies on timing of HIV acquisition against timing of major geopolitical events offer a novel way to contextualize how such events may shape transmission patterns.
