ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2013
Contrasting the epidemiological and evolutionary dynamics of influenza spatial transmission.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed.
- Competition between transmission lineages mediated by human mobility shapes seasonal influenza epidemics in the US.Nature communications · 2025Article
- Integrating dynamical modeling and phylogeographic inference to characterize global influenza circulation.PNAS nexus · 2025Article
- Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course.PLoS biology · 2024Article
- Local patterns of spread of influenza A H3N2 virus in coastal Kenya over a 1-year period revealed through virus sequence data.Scientific reports · 2024Article
- Phylogeography and reassortment patterns of human influenza A viruses in sub-Saharan Africa.Scientific reports · 2024Article
- Commuting-driven competition between transmission chains shapes seasonal influenza virus epidemics in the United States.medRxiv : the preprint server for health sciences · 2024Article
- Reconstructed influenza A/H3N2 infection histories reveal variation in incidence and antibody dynamics over the life course.medRxiv : the preprint server for health sciences · 2024Article
- Integrating dynamical modeling and phylogeographic inference to characterize global influenza circulation.medRxiv : the preprint server for health sciences · 2024Article
- Molecular Epidemiology and Evolutionary Dynamics of Human Influenza Type-A Viruses in Africa: A Systematic Review.Microorganisms · 2022Review
- Characterizing the Countrywide Epidemic Spread of Influenza A(H1N1)pdm09 Virus in Kenya between 2009 and 2018.Viruses · 2021Article
- Influenza virus-flow from insects to humans as causative for influenza seasonality.Biology direct · 2020Article
- Inter- Versus Intra-Host Sequence Diversity of pH1N1 and Associated Clinical Outcomes.Microorganisms · 2020Article
- Fogarty International Center collaborative networks in infectious disease modeling: Lessons learnt in research and capacity building.Epidemics · 2019Review
- EpiViewer: an epidemiological application for exploring time series data.BMC bioinformatics · 2018Article
- Shifting patterns of seasonal influenza epidemics.Scientific reports · 2018Article
- Analysis of multi-level spatial data reveals strong synchrony in seasonal influenza epidemics across Norway, Sweden, and Denmark.PloS one · 2018Article
- Human mobility and the spatial transmission of influenza in the United States.PLoS computational biology · 2017Article
- Article
- Quantifying influenza virus diversity and transmission in humans.Nature genetics · 2016Article
- Virus evolution and transmission in an ever more connected world.Proceedings. Biological sciences · 2015Review
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4 authors.
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Abstract
In the past decade, rapid increases in the availability of high-resolution molecular and epidemiological data, combined with developments in statistical and computational methods to simulate and infer migration patterns, have provided key insights into the spatial dynamics of influenza A viruses in humans. In this review, we contrast findings from epidemiological and molecular studies of influenza virus transmission at different spatial scales. We show that findings are broadly consistent in large-scale studies of inter-regional or inter-hemispheric spread in temperate regions, revealing intense epidemics associated with multiple viral introductions, followed by deep troughs driven by seasonal bottlenecks. However, aspects of the global transmission dynamics of influenza viruses are still debated, especially with respect to the existence of tropical source populations experiencing high levels of genetic diversity and the extent of prolonged viral persistence between epidemics. At the scale of a country or community, epidemiological studies have revealed spatially structured diffusion patterns in seasonal and pandemic outbreaks, which were not identified in molecular studies. We discuss the role of sampling issues in generating these conflicting results, and suggest strategies for future research that may help to fully integrate the epidemiological and evolutionary dynamics of influenza virus over space and time.
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