Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing
- Author
- Chris Verhofstede (UGent) , Virginie Mortier (UGent) , Kenny Dauwe (UGent) , Steven Callens (UGent) , Jessika Deblonde, Géraldine Dessilly, Marie-Luce Delforge, Katrien Fransen, André Sasse, Karolien Stoffels, Dominique Van Beckhoven, Fien Vanroye, Dolores Vaira, Ellen Vancutsem and Kristel Van Laethem
- Organization
- Abstract
- HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Overall, 48.3% of the patients were genetically linked with 11.4% belonging to a pair and 36.9% involved in a cluster of ≥3 members. The percentage of early diagnosed (≤4 months after infection) was 28.6%. Patients of Belgian origin were more frequently involved in transmission clusters (49.7% compared to 15.3%) and diagnosed earlier (37.4% compared to 12.2%) than patients of Sub-Saharan African origin. Of the infections reported to be locally acquired, 69.5% were linked (14.1% paired and 55.4% in a cluster). Equal parts of early and late diagnosed individuals (59.9% and 52.4%, respectively) were involved in clusters. The identification of a genetically linked individual for the majority of locally infected patients suggests a high rate of diagnosis in this population. Diagnosis however is often delayed for >4 months after infection increasing the opportunities for onward transmission. Prevention of local infection should focus on earlier diagnosis and protection of the still uninfected members of sexual networks with human immunodeficiency virus (HIV)-infected members.
- Keywords
- human immunodeficiency virus (HIV), transmission dynamics, transmission networks and clusters, molecular epidemiology, phylogenetic analysis, prevention, YOUNG MEN, SEX, EPIDEMIC, PERFORMANCE, SPREAD, DETERMINANTS, NETWORKS, INSIGHTS, CHICAGO, EVENTS
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-8644262
- MLA
- Verhofstede, Chris, et al. “Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing.” VIRUSES-BASEL, vol. 11, 2019, doi:10.3390/v11121096.
- APA
- Verhofstede, C., Mortier, V., Dauwe, K., Callens, S., Deblonde, J., Dessilly, G., … Van Laethem, K. (2019). Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing. VIRUSES-BASEL, 11. https://doi.org/10.3390/v11121096
- Chicago author-date
- Verhofstede, Chris, Virginie Mortier, Kenny Dauwe, Steven Callens, Jessika Deblonde, Géraldine Dessilly, Marie-Luce Delforge, et al. 2019. “Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing.” VIRUSES-BASEL 11. https://doi.org/10.3390/v11121096.
- Chicago author-date (all authors)
- Verhofstede, Chris, Virginie Mortier, Kenny Dauwe, Steven Callens, Jessika Deblonde, Géraldine Dessilly, Marie-Luce Delforge, Katrien Fransen, André Sasse, Karolien Stoffels, Dominique Van Beckhoven, Fien Vanroye, Dolores Vaira, Ellen Vancutsem, and Kristel Van Laethem. 2019. “Exploring HIV-1 Transmission Dynamics by Combining Phylogenetic Analysis and Infection Timing.” VIRUSES-BASEL 11. doi:10.3390/v11121096.
- Vancouver
- 1.Verhofstede C, Mortier V, Dauwe K, Callens S, Deblonde J, Dessilly G, et al. Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing. VIRUSES-BASEL. 2019;11.
- IEEE
- [1]C. Verhofstede et al., “Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing,” VIRUSES-BASEL, vol. 11, 2019.
@article{8644262,
abstract = {{HIV-1 pol sequences obtained through baseline drug resistance testing of patients newly diagnosed between 2013 and 2017 were analyzed for genetic similarity. For 927 patients the information on genetic similarity was combined with demographic data and with information on the recency of infection. Overall, 48.3% of the patients were genetically linked with 11.4% belonging to a pair and 36.9% involved in a cluster of ≥3 members. The percentage of early diagnosed (≤4 months after infection) was 28.6%. Patients of Belgian origin were more frequently involved in transmission clusters (49.7% compared to 15.3%) and diagnosed earlier (37.4% compared to 12.2%) than patients of Sub-Saharan African origin. Of the infections reported to be locally acquired, 69.5% were linked (14.1% paired and 55.4% in a cluster). Equal parts of early and late diagnosed individuals (59.9% and 52.4%, respectively) were involved in clusters. The identification of a genetically linked individual for the majority of locally infected patients suggests a high rate of diagnosis in this population. Diagnosis however is often delayed for >4 months after infection increasing the opportunities for onward transmission. Prevention of local infection should focus on earlier diagnosis and protection of the still uninfected members of sexual networks with human immunodeficiency virus (HIV)-infected members.}},
articleno = {{1096}},
author = {{Verhofstede, Chris and Mortier, Virginie and Dauwe, Kenny and Callens, Steven and Deblonde, Jessika and Dessilly, Géraldine and Delforge, Marie-Luce and Fransen, Katrien and Sasse, André and Stoffels, Karolien and Van Beckhoven, Dominique and Vanroye, Fien and Vaira, Dolores and Vancutsem, Ellen and Van Laethem, Kristel}},
issn = {{1999-4915}},
journal = {{VIRUSES-BASEL}},
keywords = {{human immunodeficiency virus (HIV),transmission dynamics,transmission networks and clusters,molecular epidemiology,phylogenetic analysis,prevention,YOUNG MEN,SEX,EPIDEMIC,PERFORMANCE,SPREAD,DETERMINANTS,NETWORKS,INSIGHTS,CHICAGO,EVENTS}},
language = {{eng}},
pages = {{13}},
title = {{Exploring HIV-1 transmission dynamics by combining phylogenetic analysis and infection timing}},
url = {{http://doi.org/10.3390/v11121096}},
volume = {{11}},
year = {{2019}},
}
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