Publication: Quantifying and predicting ongoing Human Immunodeficiency Virus Type 1 (HIV-1) transmission dynamics in Switzerland using a distance-based clustering approach
Quantifying and predicting ongoing Human Immunodeficiency Virus Type 1 (HIV-1) transmission dynamics in Switzerland using a distance-based clustering approach
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Labarile, M., Loosli, T., Zeeb, M., Kusejko, K., Huber, M., Hirsch, H. H., Perreau, M., Ramette, A., Yerly, S., Cavassini, M., Battegay, M., Rauch, A., Calmy, A., Notter, J., Bernasconi, E., Fux, C., Günthard, H. F., Pasin, C., Kouyos, R. D., & Swiss HIV Cohort Study. (2023). Quantifying and predicting ongoing Human Immunodeficiency Virus Type 1 (HIV-1) transmission dynamics in Switzerland using a distance-based clustering approach. Journal of Infectious Diseases, 227(4), 554–564. https://doi.org/10.1093/infdis/jiac457
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BACKGROUND: Despite effective prevention approaches, ongoing HIV-1 transmission remains a public health concern indicating a need for identifying its drivers.
METHODS: We combine a network-based clustering method using evolutionary distances between viral sequences with statistical learning approaches to investigate the dynamics of HIV-1 transmission in the Swiss HIV Cohort Study and to predict the drivers of ongoing transmission.
RESULTS: We find that only a minority of clusters and patients acquire links to new infections between
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Labarile, M., Loosli, T., Zeeb, M., Kusejko, K., Huber, M., Hirsch, H. H., Perreau, M., Ramette, A., Yerly, S., Cavassini, M., Battegay, M., Rauch, A., Calmy, A., Notter, J., Bernasconi, E., Fux, C., Günthard, H. F., Pasin, C., Kouyos, R. D., & Swiss HIV Cohort Study. (2023). Quantifying and predicting ongoing Human Immunodeficiency Virus Type 1 (HIV-1) transmission dynamics in Switzerland using a distance-based clustering approach. Journal of Infectious Diseases, 227(4), 554–564. https://doi.org/10.1093/infdis/jiac457
