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Showing 1–13 of 13 results
Advanced filters: Author: Katia Koelle Clear advanced filters
  • Epidemiological models are commonly fit to case and pathogen sequence data to estimate parameters and to reconstruct disease dynamics. Here, the authors present an inference approach based on sequence data that is well suited for model fitting early on during the expansion of a viral lineage.

    • Yeongseon Park
    • Michael A. Martin
    • Katia Koelle
    ResearchOpen Access
    Nature Communications
    Volume: 14, P: 1-15
  • Predicting the long-term evolution of influenza is difficult. But a model incorporating the effects of deleterious and beneficial mutations has met the more tangible goal of predicting year-to-year frequencies of viral groups. See Article p.57

    • Katia Koelle
    • David A. Rasmussen
    News & Views
    Nature
    Volume: 507, P: 47-48
  • Experiments in a mouse model of natural parainfluenza virus transmission show that tissue-resident memory T cells in the respiratory tract have important interferon-γ-dependent roles in protection against and limiting the transmission of viral disease.

    • Ida Uddbäck
    • Sarah E. Michalets
    • Jacob E. Kohlmeier
    Research
    Nature
    Volume: 626, P: 392-400
  • Virus reassortment drives genetic diversity and evolution and is governed by intra-host dynamics that are less well understood. Here, the authors characterise the within-host dynamics of influenza A virus reassortment in swine, ferrets and guinea pigs, considering their spatial distribution.

    • Ketaki Ganti
    • Anish Bagga
    • Anice C. Lowen
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-13
  • Transmission of influenza A viruses (IAV) between hosts and replication within host impose genetic bottlenecks, constraining viral diversity and adaptation. Here, Amato et al. perform site-specific inoculation of barcoded IAV of ferrets and track viral diversity as infection spreads to the lower respiratory tract and conclude that narrow population bottlenecks are an important feature of the within-host infection dynamics.

    • Katherine A. Amato
    • Luis A. Haddock III
    • Andrew Mehle
    ResearchOpen Access
    Nature Communications
    Volume: 13, P: 1-15
  • In this study, the authors present an analysis of 247 full-genome SARS-CoV-2 sequences obtained from two communities in Wisconsin, USA, and report distinct patterns of viral spread. Their results suggest that patterns of SARS-CoV-2 transmission and spread may vary substantially, even between neighbouring communities.

    • Gage K. Moreno
    • Katarina M. Braun
    • Thomas C. Friedrich
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-13
  • In this study, Adi Stern and colleagues use full genome sequences of SARS-CoV-2 to look at the rate of infections in Israel. They report that social distancing had a significant effect on minimising the rate of transmission, and find evidence for transmission heterogeneity (superspreading events).

    • Danielle Miller
    • Michael A. Martin
    • Adi Stern
    ResearchOpen Access
    Nature Communications
    Volume: 11, P: 1-10
  • The earliest infections with influenza A shape the immune responses to future infections, but it is not known if this phenomenon applies to influenza B. Here, the authors use influenza B case data from New Zealand and find evidence for both lineage-specific and imprinting protection.

    • Marcos C. Vieira
    • Celeste M. Donato
    • Sarah Cobey
    ResearchOpen Access
    Nature Communications
    Volume: 12, P: 1-14