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

Publikation

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

Wissenschaftlicher Artikel/Review - 26.11.2022

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

Zitation

Labarile M, Loosli T, Zeeb M, Kusejko K, Huber M, Hirsch H, Perreau M, Ramette A, Yerly S, Cavassini M, Battegay M, Rauch A, Calmy A, Notter J, Bernasconi E, Fux C, Günthard H, Pasin C, Kouyos R. Quantifying and predicting ongoing Human Immunodeficiency Virus Type 1 (HIV-1) transmission dynamics in Switzerland using a distance-based clustering approach. J Infect Dis 2022

Art

Wissenschaftlicher Artikel/Review (Englisch)

Zeitschrift

J Infect Dis 2022

Veröffentlichungsdatum

26.11.2022

eISSN (Online)

1537-6613

Kurzbeschreibung/Zielsetzung

Despite effective prevention approaches, ongoing HIV-1 transmission remains a public health concern indicating a need for identifying its drivers.