Literature DB >> 28410528

Modeling the spread of avian influenza viruses in aquatic reservoirs: A novel hydrodynamic approach applied to the Rhône delta (southern France).

Marion Vittecoq1, Hermann Gauduin2, Thibault Oudart2, Olivier Bertrand3, Benjamin Roche4, Matthieu Guillemain5, Olivier Boutron2.   

Abstract

Wild aquatic birds represent a natural reservoir of avian influenza viruses (AIV) that can be spread to poultry. AIV epizootics were associated with huge economic impacts during the last decades and are still of major concern. Within aquatic bird populations AIV are transmitted either by direct contact or through the ingestion of water that has been contaminated by infected individuals. This second route involving environmental transmission is of utmost importance in AIV dynamics, yet it has received far less attention than direct bird-to-bird contamination. Our objective was to combine a hydrodynamic model with data on mallard abundance and AIV infection rate within the population, so as to characterize virus dissemination within a complex wetland network. We chose the Vaccarès hydrosystem as a wetland model since it represents a large part of the Camargue region, which is a major wintering site for a large diversity of aquatic birds including AIV hosts. We aimed to identify the environmental parameters that drive AIV dynamics within this system and the spatio-temporal pattern of dispersion and persistence of viruses. Our results show that in a complex hydrosystem we can expect a great heterogeneity in AIV risk among wetlands. Our simulations underline how a simple "homogeneous box" approach could in the case of deltaic ecosystems minimize the expected risk by diluting it in the whole system. Moreover, such undermining of the risk perception could affect the predictions relative to risk duration. We present a new approach to identify hotspots of virus concentrations within deltaic areas that could take advantage of the duck count data, AIV surveys and hydrodynamic models that may already be available in several major duck wintering areas comprised of complex hydrosystems, such as the large European deltas. Our method could be of particular interest to optimize surveillance strategies in the current context of highly pathogenic AIV diffusion within wild bird populations.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Avian influenza viruses; Hydrodynamic model; Mallards; Wetlands; Wild birds

Mesh:

Year:  2017        PMID: 28410528     DOI: 10.1016/j.scitotenv.2017.03.165

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  5 in total

1.  Improving risk assessment of the emergence of novel influenza A viruses by incorporating environmental surveillance.

Authors:  Kim M Pepin; Matthew W Hopken; Susan A Shriner; Erica Spackman; Zaid Abdo; Colin Parrish; Steven Riley; James O Lloyd-Smith; Antoinette J Piaggio
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2019-08-12       Impact factor: 6.237

2.  The relationship between cyclonic weather regimes and seasonal influenza over the Eastern Mediterranean.

Authors:  Assaf Hochman; Pinhas Alpert; Maya Negev; Ziad Abdeen; Abdul Mohsen Abdeen; Joaquim G Pinto; Hagai Levine
Journal:  Sci Total Environ       Date:  2020-08-12       Impact factor: 7.963

Review 3.  Highly Pathogenic Avian Influenza Viruses at the Wild-Domestic Bird Interface in Europe: Future Directions for Research and Surveillance.

Authors:  Josanne H Verhagen; Ron A M Fouchier; Nicola Lewis
Journal:  Viruses       Date:  2021-01-30       Impact factor: 5.048

4.  Research priority-setting for human, plant, and animal virology: an online experience for the Virology Institute of the Philippines.

Authors:  Reneepearl Kim Sales; Joseph Oraño; Rafael Deo Estanislao; Alfredo Jose Ballesteros; Ma Ida Faye Gomez
Journal:  Health Res Policy Syst       Date:  2021-04-29

5.  Influenza Virus Segment Composition Influences Viral Stability in the Environment.

Authors:  Thomas Labadie; Christophe Batéjat; Jean-Claude Manuguerra; India Leclercq
Journal:  Front Microbiol       Date:  2018-07-09       Impact factor: 5.640

  5 in total

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