Quantifying and predicting ongoing Human Immunodeficiency Virus Type 1 (HIV-1) transmission dynamics in Switzerland using a distance-based clustering approach.

Marco Labarile,Tom Loosli,Marius Zeeb,Katharina Kusejko,Michael Huber,Hans H Hirsch,Matthieu Perreau,Alban Ramette,Sabine Yerly,Matthias Cavassini,Manuel Battegay,Andri Rauch,Alexandra Calmy,Julia Notter,Enos Bernasconi,Christoph Fux,Huldrych F Günthard,Chloé Pasin,Roger D Kouyos

The Journal of infectious diseases（2022）

Cited 1|Views11

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Abstract

These results highlight the utility of molecular epidemiology-based network approaches for analysing and predicting ongoing HIV-1-transmission dynamics. This approach may serve for real-time prospective assessment of HIV-1-transmission.

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Key words

HIV transmission dynamics,cluster analysis,distance-based clustering

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