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Published on: October 12, 2018
Quantifying HIV-1 transmission due to contaminated injections
Richard G White1, S Cooper Ben, Anusha Kedhar
1Department of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London WC1E 7HT, United Kingdom. richard.white@lshtm.ac.uk
Summary
Estimating HIV transmission from injections in sub-Saharan Africa is challenging. This study developed a new model reducing uncertainty, showing contaminated injections likely cause a small proportion of HIV incidence in Uganda.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health
Background:
- Accurate assessment of HIV-1 (HIV) transmission routes is crucial for effective control strategies.
- Quantifying HIV transmission via contaminated injections in sub-Saharan Africa is difficult due to data limitations and high uncertainty.
Purpose of the Study:
- To develop and apply a robust method for estimating the contribution of HIV-contaminated injections to overall HIV transmission.
- To reduce uncertainty in estimates of HIV transmission routes using an age-structured transmission model and Bayesian inference.
Main Methods:
- Utilized an age-structured transmission model incorporating Bayesian statistics to estimate HIV transmission proportions.
- Incorporated age-stratified HIV incidence and injection data to refine prior beliefs and generate posterior estimates.
- Applied the model to data from rural southwest Uganda, considering both random and assortative mixing scenarios.
Main Results:
- The model significantly reduced uncertainty in the estimated proportion of HIV incidence attributed to contaminated injections.
- In Uganda, the upper estimates for injection-related HIV incidence were reduced from over 15% to 5.2% (random mixing) and 11.8% (assortative mixing).
- Lower, widely accepted estimates (1-3%) remained largely unchanged, suggesting contaminated injections are unlikely to be a major driver of HIV incidence in the studied region.
Conclusions:
- Contaminated injections are unlikely to account for a substantial proportion of HIV incidence in rural Uganda.
- The developed modeling approach effectively quantifies and reduces uncertainty in estimating transmission routes.
- Findings suggest that contaminated injections may not be a primary driver of HIV epidemics in many sub-Saharan African populations.
