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A Direct Comparison of Two Densely Sampled HIV Epidemics: The UK and Switzerland.

Abstract：

:Phylogenetic clustering approaches can elucidate HIV transmission dynamics. Comparisons across countries are essential for evaluating public health policies. Here, we used a standardised approach to compare the UK HIV Drug Resistance Database and the Swiss HIV Cohort Study while maintaining data-protection requirements. Clusters were identified in subtype A1, B and C pol phylogenies. We generated degree distributions for each risk group and compared distributions between countries using Kolmogorov-Smirnov (KS) tests, Degree Distribution Quantification and Comparison (DDQC) and bootstrapping. We used logistic regression to predict cluster membership based on country, sampling date, risk group, ethnicity and sex. We analysed >8,000 Swiss and >30,000 UK subtype B sequences. At 4.5% genetic distance, the UK was more clustered and MSM and heterosexual degree distributions differed significantly by the KS test. The KS test is sensitive to variation in network scale, and jackknifing the UK MSM dataset to the size of the Swiss dataset removed the difference. Only heterosexuals varied based on the DDQC, due to UK male heterosexuals who clustered exclusively with MSM. Their removal eliminated this difference. In conclusion, the UK and Swiss HIV epidemics have similar underlying dynamics and observed differences in clustering are mainly due to different population sizes.

journal_name

Sci Rep

journal_title

Scientific reports

authors

Ragonnet-Cronin ML,Shilaih M,Günthard HF,Hodcroft EB,Böni J,Fearnhill E,Dunn D,Yerly S,Klimkait T,Aubert V,Yang WL,Brown AE,Lycett SJ,Kouyos R,Brown AJ

doi

10.1038/srep32251

subject

Has Abstract

pub_date

2016-09-19 00:00:00

pages

32251

issn

2045-2322

pii

srep32251

journal_volume

6

pub_type

杂志文章,多中心研究

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