Literature DB >> 21719821

Avian influenza shedding patterns in waterfowl: implications for surveillance, environmental transmission, and disease spread.

Viviane Hénaux1, Michael D Samuel.   

Abstract

Despite the recognized importance of fecal/oral transmission of low pathogenic avian influenza (LPAI) via contaminated wetlands, little is known about the length, quantity, or route of AI virus shed by wild waterfowl. We used published laboratory challenge studies to evaluate the length and quantity of low pathogenic (LP) and highly pathogenic (HP) virus shed via oral and cloacal routes by AI-infected ducks and geese, and how these factors might influence AI epidemiology and virus detection. We used survival analysis to estimate the duration of infection (from virus inoculation to the last day virus was shed) and nonlinear models to evaluate temporal patterns in virus shedding. We found higher mean virus titer and longer median infectious period for LPAI-infected ducks (10-11.5 days in oral and cloacal swabs) than HPAI-infected ducks (5 days) and geese (7.5 days). Based on the median bird infectious dose, we found that environmental contamination is two times higher for LPAI- than HPAI-infectious ducks, which implies that susceptible birds may have a higher probability of infection during LPAI than HPAI outbreaks. Less environmental contamination during the course of infection and previously documented shorter environmental persistence for HPAI than LPAI suggest that the environment is a less favorable reservoir for HPAI. The longer infectious period, higher virus titers, and subclinical infections with LPAI viruses favor the spread of these viruses by migratory birds in comparison to HPAI. Given the lack of detection of HPAI viruses through worldwide surveillance, we suggest monitoring for AI should aim at improving our understanding of AI dynamics (in particular, the role of the environment and immunity) using long-term comprehensive live bird, serologic, and environmental sampling at targeted areas. Our findings on LPAI and HPAI shedding patterns over time provide essential information to parameterize environmental transmission and virus spread in predictive epizootiologic models of disease risks.

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Year:  2011        PMID: 21719821     DOI: 10.7589/0090-3558-47.3.566

Source DB:  PubMed          Journal:  J Wildl Dis        ISSN: 0090-3558            Impact factor:   1.535


  34 in total

1.  Application of Faecalibacterium 16S rDNA genetic marker for accurate identification of duck faeces.

Authors:  Da Sun; Chuanren Duan; Yaning Shang; Yunxia Ma; Lili Tan; Jun Zhai; Xu Gao; Jingsong Guo; Guixue Wang
Journal:  Environ Sci Pollut Res Int       Date:  2016-01-08       Impact factor: 4.223

2.  Highly pathogenic avian influenza H5N1 clade 2.3.2.1 and clade 2.3.4 viruses do not induce a clade-specific phenotype in mallard ducks.

Authors:  Mariette Ducatez; Stephanie Sonnberg; Jeri Carol Crumpton; Adam Rubrum; Phouvong Phommachanh; Bounlom Douangngeun; Malik Peiris; Yi Guan; Robert Webster; Richard Webby
Journal:  J Gen Virol       Date:  2017-06-20       Impact factor: 3.891

Review 3.  Is low pathogenic avian influenza virus virulent for wild waterbirds?

Authors:  Thijs Kuiken
Journal:  Proc Biol Sci       Date:  2013-06-05       Impact factor: 5.349

4.  Juveniles and migrants as drivers for seasonal epizootics of avian influenza virus.

Authors:  Jacintha G B van Dijk; Bethany J Hoye; Josanne H Verhagen; Bart A Nolet; Ron A M Fouchier; Marcel Klaassen
Journal:  J Anim Ecol       Date:  2013-09-04       Impact factor: 5.091

5.  Reassortant influenza A viruses in wild duck populations: effects on viral shedding and persistence in water.

Authors:  Camille Lebarbenchon; Srinand Sreevatsan; Thierry Lefèvre; My Yang; Muthannan A Ramakrishnan; Justin D Brown; David E Stallknecht
Journal:  Proc Biol Sci       Date:  2012-08-01       Impact factor: 5.349

6.  High influenza a virus infection rates in Mallards bred for hunting in the Camargue, South of France.

Authors:  Marion Vittecoq; Viviane Grandhomme; Jocelyn Champagnon; Matthieu Guillemain; Bernadette Crescenzo-Chaigne; François Renaud; Frédéric Thomas; Michel Gauthier-Clerc; Sylvie van der Werf
Journal:  PLoS One       Date:  2012-08-27       Impact factor: 3.240

7.  A multi-scale analysis of influenza A virus fitness trade-offs due to temperature-dependent virus persistence.

Authors:  Andreas Handel; Justin Brown; David Stallknecht; Pejman Rohani
Journal:  PLoS Comput Biol       Date:  2013-03-21       Impact factor: 4.475

8.  High seroprevalence of antibodies to avian influenza viruses among wild waterfowl in Alaska: implications for surveillance.

Authors:  Heather M Wilson; Jeffery S Hall; Paul L Flint; J Christian Franson; Craig R Ely; Joel A Schmutz; Michael D Samuel
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

9.  Model to track wild birds for avian influenza by means of population dynamics and surveillance information.

Authors:  Anna Alba; Dominique J Bicout; Francesc Vidal; Antoni Curcó; Alberto Allepuz; Sebastián Napp; Ignacio García-Bocanegra; Taiana Costa; Jordi Casal
Journal:  PLoS One       Date:  2012-08-30       Impact factor: 3.240

10.  Evidence that life history characteristics of wild birds influence infection and exposure to influenza A viruses.

Authors:  Craig R Ely; Jeffrey S Hall; Joel A Schmutz; John M Pearce; John Terenzi; James S Sedinger; Hon S Ip
Journal:  PLoS One       Date:  2013-03-04       Impact factor: 3.240

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