Spatiotemporal evolutionary epidemiology of H5N1 highly pathogenic avian influenza in West Africa and Nigeria, 2006–2015

P. S. Ekong, Nicholas Fountain-Jones, M. A. Alkhamis

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

H5N1 highly pathogenic avian influenza virus (HPAIV) was first observed in Nigeria in early 2006 and has now spread to more than 17 African countries having severe economic and public health implications. Here, we explore the spatiotemporal patterns of viral dispersal both among West African countries and within Nigeria using sequence data from hemagglutinin (HA) gene region of the virus. Analyses were performed within a statistical Bayesian framework using phylodynamic models on data sets comprising of all publically available HA sequence data collected from seven West African countries and Egypt between 2006 and 2015. Our regional-level analyses indicated that H5N1 in West Africa originated in Nigeria in three geopolitical regions, specifically north central and north-east, where backyard poultry and wild birds are in frequent contact, as well as south-west, a major commercial poultry area, then dispersed to West African countries. We inferred significant virus dispersal routes between Niger and Nigeria on one side and Burkina Faso, Ivory Coast, Ghana and Egypt on the other. Furthermore, south-west Nigeria identified as a primary source for virus dispersal within Nigeria as well as to Niger in 2006 and 2008. Niger was an important epicentre for the virus spread into other West African countries in 2015. Egyptian introductions from West Africa were sporadic and resulted most likely from poultry trade with Nigeria rather than contact with infected wild birds. Our inferred viral dispersal routes reflected the large-scale unrestricted movements of infected poultry in the region. Our study illustrates the ability of phylodynamic models to trace important HPAIV dispersal routes at a regional and national level. Our results have clear implications for the control and prevention of this pathogen across scales and will help improve molecular surveillance of transboundary HPAIVs.

Original languageEnglish (US)
Pages (from-to)e70-e82
JournalTransboundary and Emerging Diseases
Volume65
Issue number1
DOIs
StatePublished - Feb 2018

Bibliographical note

Publisher Copyright:
© 2017 Blackwell Verlag GmbH

Keywords

  • Bayesian phylodynamics
  • Phylogeography
  • avian influenza
  • dispersal routes
  • poultry

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