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1por Stadler, Tanja, Vaughan, Timothy G., Gavryushkin, Alex, Guindon, Stephane, Kühnert, Denise, Leventhal, Gabriel E., Drummond, Alexei J.“…One of the central objectives in the field of phylodynamics is the quantification of population dynamic processes using genetic sequence data or in some cases phenotypic data. …”
Publicado 2015
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2“…The development of organisms and tissues is dictated by an elaborate balance between cell division, apoptosis and differentiation: the cell population dynamics. To quantify these dynamics, we propose a phylodynamic inference approach based on single-cell lineage recorder data. …”
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4“…Estimation of epidemiological and population parameters from molecular sequence data has become central to the understanding of infectious disease dynamics. …”
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5“…In summary, when using genetic data to estimate epidemic dynamics, our results suggest that the birth-death method will be less sensitive to population fluctuations of early outbreaks than the coalescent method that assumes a deterministic exponentially growing infected population.…”
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6por Scire, Jérémie, Barido-Sottani, Joëlle, Kühnert, Denise, Vaughan, Timothy G., Stadler, Tanja“…The multi-type birth–death model with sampling is a phylodynamic model which enables the quantification of past population dynamics in structured populations based on phylogenetic trees. …”
Publicado 2022
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7“…Detailed information on the interaction of host population dynamics and evolutionary history can inform decisions on how to contain or entirely avoid disease outbreaks. …”
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8“…We analyze a global human influenza H3N2 virus data set from a geographically structured host population to demonstrate how seasonal dynamics can be inferred simultaneously with the phylogeny and migration process. …”
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9“…Population dynamics can be inferred from genetic sequence data by using phylodynamic methods. …”
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10por Rasmussen, David A, Wilkinson, Eduan, Vandormael, Alain, Tanser, Frank, Pillay, Deenan, Stadler, Tanja, de Oliveira, Tulio“…By comparing our results with population-based surveillance data, we show that we can reliably estimate incidence from viral phylogenies once viral movement in and out of the local population is accounted for. …”
Publicado 2018
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11“…Bayesian phylogenetics aims at estimating phylogenetic trees together with evolutionary and population dynamic parameters based on genetic sequences. …”
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12“…The dataset is too small to show a particular population structure with high significance, however our preliminary analyses suggest that half the population is spreading the virus with an R0 well above 2, while the other half of the population is spreading with an R0 below 1. …”
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13por Müller, Nicola F., Wüthrich, Daniel, Goldman, Nina, Sailer, Nadine, Saalfrank, Claudia, Brunner, Myrta, Augustin, Noémi, Seth-Smith, Helena MB, Hollenstein, Yvonne, Syedbasha, Mohammedyaseen, Lang, Daniela, Neher, Richard A., Dubuis, Olivier, Naegele, Michael, Buser, Andreas, Nickel, Christian H., Ritz, Nicole, Zeller, Andreas, Lang, Brian M., Hadfield, James, Bedford, Trevor, Battegay, Manuel, Schneider-Sliwa, Rita, Egli, Adrian, Stadler, Tanja“…Infecting large portions of the global population, seasonal influenza is a major burden on societies around the globe. …”
Publicado 2020
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14por Vaughan, Timothy G, Leventhal, Gabriel E, Rasmussen, David A, Drummond, Alexei J, Welch, David, Stadler, Tanja“…Modern phylodynamic methods interpret an inferred phylogenetic tree as a partial transmission chain providing information about the dynamic process of transmission and removal (where removal may be due to recovery, death, or behavior change). …”
Publicado 2019
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15“…Taking this heterogeneity into account is necessary to obtain accurate estimates of the underlying population dynamics. We present a new multitype birth–death model (MTBD) that can estimate lineage-specific birth and death rates. …”
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16“…Phylodynamic models are widely used in infectious disease epidemiology to infer the dynamics and structure of pathogen populations. However, these models generally assume that individual hosts contact one another at random, ignoring the fact that many pathogens spread through highly structured contact networks. …”
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17por Nadeau, Sarah, Thorball, Christian W, Kouyos, Roger, Günthard, Huldrych F, Böni, Jürg, Yerly, Sabine, Perreau, Matthieu, Klimkait, Thomas, Rauch, Andri, Hirsch, Hans H, Cavassini, Matthias, Vernazza, Pietro, Bernasconi, Enos, Fellay, Jacques, Mitov, Venelin, Stadler, Tanja“…In summary, our framework provides additional information on the evolutionary dynamics of traits in pathogen populations and may improve GWAS if pathogen effects are highly phylogenetically correlated amongst individuals in a cohort.…”
Publicado 2022
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18por Ratmann, Oliver, Hodcroft, Emma B., Pickles, Michael, Cori, Anne, Hall, Matthew, Lycett, Samantha, Colijn, Caroline, Dearlove, Bethany, Didelot, Xavier, Frost, Simon, Hossain, A.S. Md Mukarram, Joy, Jeffrey B., Kendall, Michelle, Kühnert, Denise, Leventhal, Gabriel E., Liang, Richard, Plazzotta, Giacomo, Poon, Art F.Y., Rasmussen, David A., Stadler, Tanja, Volz, Erik, Weis, Caroline, Leigh Brown, Andrew J., Fraser, Christophe“…Viral phylogenetic methods contribute to understanding how HIV spreads in populations, and thereby help guide the design of prevention interventions. …”
Publicado 2017
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