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Comparative micro-epidemiology of pathogenic avian influenza virus outbreaks in a wild bird population.

Authors :
Hill SC
Hansen R
Watson S
Coward V
Russell C
Cooper J
Essen S
Everest H
Parag KV
Fiddaman S
Reid S
Lewis N
Brookes SM
Smith AL
Sheldon B
Perrins CM
Brown IH
Pybus OG
Source :
Philosophical transactions of the Royal Society of London. Series B, Biological sciences [Philos Trans R Soc Lond B Biol Sci] 2019 Jun 24; Vol. 374 (1775), pp. 20180259.
Publication Year :
2019

Abstract

Understanding the epidemiological dynamics of highly pathogenic avian influenza virus (HPAIV) in wild birds is crucial for guiding effective surveillance and control measures. The spread of H5 HPAIV has been well characterized over large geographical and temporal scales. However, information about the detailed dynamics and demographics of individual outbreaks in wild birds is rare and important epidemiological parameters remain unknown. We present data from a wild population of long-lived birds (mute swans; Cygnus olor) that has experienced three outbreaks of related H5 HPAIVs in the past decade, specifically, H5N1 (2007), H5N8 (2016) and H5N6 (2017). Detailed demographic data were available and intense sampling was conducted before and after the outbreaks; hence the population is unusually suitable for exploring the natural epidemiology, evolution and ecology of HPAIV in wild birds. We show that key epidemiological features remain remarkably consistent across multiple outbreaks, including the timing of virus incursion and outbreak duration, and the presence of a strong age-structure in morbidity that likely arises from an equivalent age-structure in immunological responses. The predictability of these features across a series of outbreaks in a complex natural population is striking and contributes to our understanding of HPAIV in wild birds. This article is part of the theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes'. This issue is linked with the subsequent theme issue 'Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control'.

Details

Language :
English
ISSN :
1471-2970
Volume :
374
Issue :
1775
Database :
MEDLINE
Journal :
Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Publication Type :
Academic Journal
Accession number :
31056057
Full Text :
https://doi.org/10.1098/rstb.2018.0259