2022
DOI: 10.1016/s2468-2667(21)00258-9
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The contribution of unstable housing to HIV and hepatitis C virus transmission among people who inject drugs globally, regionally, and at country level: a modelling study

Abstract: Background A considerable proportion of people who inject drugs are unstably housed. Although unstable housing is associated with HIV and HCV infection among people who inject drugs, its contribution to transmission is unknown. We estimated the global and national proportions of incident HIV and HCV infections among people who inject drugs attributed to housing instability from 2020 to 2029. MethodsIn this modelling study, we developed country-level models of unstable housing and HIV and HCV transmission among… Show more

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Cited by 20 publications
(9 citation statements)
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“…Although opioid agonist treatment services and NSPs do not require people to be housed to access services, people experiencing homelessness may still face increased structural barriers to access [ 26 ]. Stable housing reduces the risk of HCV transmission [ 27 ] and removes stressors to allow people to prioritise health and wellbeing [ 28 ]. Some interventions have attempted to mitigate the effects of homelessness with regards to treatment uptake, by providing flexible appointments [ 26 ] or mobile testing and treatment [ 29 ].…”
Section: Discussionmentioning
confidence: 99%
“…Although opioid agonist treatment services and NSPs do not require people to be housed to access services, people experiencing homelessness may still face increased structural barriers to access [ 26 ]. Stable housing reduces the risk of HCV transmission [ 27 ] and removes stressors to allow people to prioritise health and wellbeing [ 28 ]. Some interventions have attempted to mitigate the effects of homelessness with regards to treatment uptake, by providing flexible appointments [ 26 ] or mobile testing and treatment [ 29 ].…”
Section: Discussionmentioning
confidence: 99%
“…Syndemic intervention science could benefit from more cross-disciplinary methods of public health, biology, sociology, anthropology, epidemiology, and social work to advance data-driven approaches to identifying core components of multi-level syndemic-focused interventions that may best address SAVA risks with greater precision and efficiency. Syndemic researchers have recommended employing agent-based models or counterfactual models that may employ mathematical modelling to simulate the effects of multi-level or multi-component interventions on reducing SAVA risks, as well as on social determinants of health drivers of SAVA (Stone et al, 2022; Tsai, 2018). Geospatial analyses and social network analyses of where and how SAVA risks and social determinants of health drivers are concentrated in marginalized communities and in social network nodes can further help focus the contours of SAVA interventions (Tsai, 2018).…”
Section: Discussion and Applications To Practicementioning
confidence: 99%
“…A number of factors mediate the relationship between displacement and HIV. For example, unstable housing post-displacement can be a barrier to accessing HIV care, and increasing the HIV vulnerability of displaced people ( 11 ). This might be exacerbated by behavioral risk factors such as IDU ( 12 ).…”
Section: Introductionmentioning
confidence: 99%