Imperial College London

DrErikVolz

Faculty of MedicineSchool of Public Health

Reader in Population Biology of Infectious Diseases
 
 
 
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Contact

 

+44 (0)20 7594 1933e.volz Website

 
 
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Location

 

UG10Norfolk PlaceSt Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{Li:2020:10.1097/QAD.0000000000002409,
author = {Li, Y and Liu, H and Ramadhani, HO and Ndembi, N and Crowell, TA and Kijak, G and Robb, ML and Ake, JA and Kokogho, A and Nowak, RG and Gaydos, C and Baral, SD and Volz, E and Tovanabutra, S and Charurat, M and TRUSTRV368, Study Group},
doi = {10.1097/QAD.0000000000002409},
journal = {AIDS},
pages = {227--236},
title = {Genetic clustering analysis for HIV infection among MSM in Nigeriaimplications for intervention},
url = {http://dx.doi.org/10.1097/QAD.0000000000002409},
volume = {34},
year = {2020}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - BACKGROUND: The HIV epidemic continues to grow among MSM in countries across sub-Saharan Africa including Nigeria. To inform prevention efforts, we used a phylogenetic cluster method to characterize HIV genetic clusters and factors associated with cluster formation among MSM living with HIV in Nigeria. METHODS: We analyzed HIV-1 pol sequences from 417 MSM living with HIV enrolled in the TRUST/RV368 cohort between 2013 and 2017 in Abuja and Lagos, Nigeria. A genetically linked cluster was defined among participants whose sequences had pairwise genetic distance of 1.5% or less. Binary and multinomial logistic regressions were used to estimate adjusted odds ratios (AORs) and 95% confidence intervals (CIs) for factors associated with HIV genetic cluster membership and size. RESULTS: Among 417 MSM living with HIV, 153 (36.7%) were genetically linked. Participants with higher viral load (AOR=1.72 95% CI: 1.04-2.86), no female partners (AOR=3.66; 95% CI: 1.97-6.08), and self-identified as male sex (compared with self-identified as bigender) (AOR=3.42; 95% CI: 1.08-10.78) had higher odds of being in a genetic cluster. Compared with unlinked participants, MSM who had high school education (AOR=23.84; 95% CI: 2.66-213.49), were employed (AOR=3.41; 95% CI: 1.89-10.70), had bacterial sexually transmitted infections (AOR=3.98; 95% CI: 0.89-17.22) and were not taking antiretroviral therapy (AOR=6.61; 95% CI: 2.25-19.37) had higher odds of being in a large cluster (size>4). CONCLUSION: Comprehensive HIV prevention packages should include behavioral and biological components, including early diagnosis and treatment of both HIV and bacterial sexually transmitted infections to optimally reduce the risk of HIV transmission and acquisition.
AU - Li,Y
AU - Liu,H
AU - Ramadhani,HO
AU - Ndembi,N
AU - Crowell,TA
AU - Kijak,G
AU - Robb,ML
AU - Ake,JA
AU - Kokogho,A
AU - Nowak,RG
AU - Gaydos,C
AU - Baral,SD
AU - Volz,E
AU - Tovanabutra,S
AU - Charurat,M
AU - TRUSTRV368,Study Group
DO - 10.1097/QAD.0000000000002409
EP - 236
PY - 2020///
SN - 0269-9370
SP - 227
TI - Genetic clustering analysis for HIV infection among MSM in Nigeriaimplications for intervention
T2 - AIDS
UR - http://dx.doi.org/10.1097/QAD.0000000000002409
UR - https://www.ncbi.nlm.nih.gov/pubmed/31634185
UR - http://hdl.handle.net/10044/1/74430
VL - 34
ER -