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Phylodynamic assessment of intervention strategies for the West African Ebola virus outbreak

Author

Listed:
  • Simon Dellicour

    (KU Leuven – University of Leuven)

  • Guy Baele

    (KU Leuven – University of Leuven)

  • Gytis Dudas

    (Fred Hutchinson Cancer Research Center)

  • Nuno R. Faria

    (University of Oxford)

  • Oliver G. Pybus

    (University of Oxford)

  • Marc A. Suchard

    (University of California
    University of California
    University of California)

  • Andrew Rambaut

    (University of Edinburgh, King’s Buildings
    National Institutes of Health)

  • Philippe Lemey

    (KU Leuven – University of Leuven)

Abstract

Genetic analyses have provided important insights into Ebola virus spread during the recent West African outbreak, but their implications for specific intervention scenarios remain unclear. Here, we address this issue using a collection of phylodynamic approaches. We show that long-distance dispersal events were not crucial for epidemic expansion and that preventing viral lineage movement to any given administrative area would, in most cases, have had little impact. However, major urban areas were critical in attracting and disseminating the virus: preventing viral lineage movement to all three capitals simultaneously would have contained epidemic size to one-third. We also show that announcements of border closures were followed by a significant but transient effect on international virus dispersal. By quantifying the hypothetical impact of different intervention strategies, as well as the impact of barriers on dispersal frequency, our study illustrates how phylodynamic analyses can help to address specific epidemiological and outbreak control questions.

Suggested Citation

  • Simon Dellicour & Guy Baele & Gytis Dudas & Nuno R. Faria & Oliver G. Pybus & Marc A. Suchard & Andrew Rambaut & Philippe Lemey, 2018. "Phylodynamic assessment of intervention strategies for the West African Ebola virus outbreak," Nature Communications, Nature, vol. 9(1), pages 1-9, December.
  • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-03763-2
    DOI: 10.1038/s41467-018-03763-2
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    Cited by:

    1. Raphaëlle Klitting & Liana E. Kafetzopoulou & Wim Thiery & Gytis Dudas & Sophie Gryseels & Anjali Kotamarthi & Bram Vrancken & Karthik Gangavarapu & Mambu Momoh & John Demby Sandi & Augustine Goba & F, 2022. "Predicting the evolution of the Lassa virus endemic area and population at risk over the next decades," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

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