Implications of within-farm transmission for network dynamics: Consequences for the spread of avian influenza

Highlights • Cross-scale dynamics were investigated for avian influenza in British poultry.• Transmission risk is dependent on the assumed within-flock transmission mode.• Transmission risk may not scale with transmissibility or flock size.• Transmission risk corresponds with between-farm impact for 28% of farms.• These results have implications for targeted disease control at the farm-level.

[1]  M. van Boven,et al.  Comparison of the transmission characteristics of low and high pathogenicity avian influenza A virus (H5N2) , 2003, Epidemiology and Infection.

[2]  D. Cole,et al.  Human Contacts and Potential Pathways of Disease Introduction on Georgia Poultry Farms , 2009, Avian diseases.

[3]  Thilo Gross,et al.  Adaptive coevolutionary networks: a review , 2007, Journal of The Royal Society Interface.

[4]  Stochastic Model of the Potential Spread of Highly Pathogenic Avian Influenza from an Infected Commercial Broiler Operation in Georgia , 2010, Avian diseases.

[5]  T. Geisel,et al.  Forecast and control of epidemics in a globalized world. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[6]  A. Barrat,et al.  Dynamical Patterns of Cattle Trade Movements , 2011, PloS one.

[7]  S. Marangon,et al.  Analysis of the 1999-2000 highly pathogenic avian influenza (H7N1) epidemic in the main poultry-production area in northern Italy. , 2006, Preventive veterinary medicine.

[8]  L. Meyers,et al.  Epidemic thresholds in dynamic contact networks , 2009, Journal of The Royal Society Interface.

[9]  Thilo Gross,et al.  Epidemic dynamics on an adaptive network. , 2005, Physical review letters.

[10]  A. Pijpers,et al.  The Highly Pathogenic Avian Influenza A (H7N7) Virus Epidemic in the Netherlands in 2003—Lessons Learned from the First Five Outbreaks , 2004, Avian diseases.

[11]  H. Yoon,et al.  Virus spread pattern within infected chicken farms using regression model: the 2003-2004 HPAI epidemic in the Republic of Korea. , 2005, Journal of veterinary medicine. B, Infectious diseases and veterinary public health.

[12]  M C M de Jong,et al.  Quantification of the effect of vaccination on transmission of avian influenza (H7N7) in chickens. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[13]  N. Savill,et al.  Detection of mortality clusters associated with highly pathogenic avian influenza in poultry: a theoretical analysis , 2008, Journal of The Royal Society Interface.

[14]  T. Humphrey,et al.  Impact of Transport Crate Reuse and of Catching and Processing on Campylobacter and Salmonella Contamination of Broiler Chickens , 2002, Applied and Environmental Microbiology.

[15]  The potential spread of highly pathogenic avian influenza virus via dynamic contacts between poultry premises in Great Britain , 2011, BMC veterinary research.

[16]  Jennifer E. Dent,et al.  Contact structures in the poultry industry in Great Britain: Exploring transmission routes for a potential avian influenza virus epidemic , 2008, BMC veterinary research.

[17]  Hualan Chen,et al.  Protective efficacy in chickens, geese and ducks of an H5N1-inactivated vaccine developed by reverse genetics. , 2005, Virology.

[18]  G. Koch,et al.  Within-Flock Mortality During the High-Pathogenicity Avian Influenza (H7N7) Epidemic in the Netherlands in 2003: Implications for an Early Detection System , 2007, Avian diseases.

[19]  M. Nielen,et al.  Within-flock transmission of H7N1 highly pathogenic avian influenza virus in turkeys during the Italian epidemic in 1999-2000. , 2010, Preventive veterinary medicine.

[20]  M. Keeling,et al.  Silent spread of H5N1 in vaccinated poultry , 2006, Nature.

[21]  L. Danon,et al.  Demographic structure and pathogen dynamics on the network of livestock movements in Great Britain , 2006, Proceedings of the Royal Society B: Biological Sciences.

[22]  Y. Guan,et al.  Characterization of avian H5N1 influenza viruses from poultry in Hong Kong. , 1998, Virology.

[23]  M C M de Jong,et al.  The effect of inoculation dose of a highly pathogenic avian influenza virus strain H5N1 on the infectiousness of chickens. , 2011, Veterinary microbiology.

[24]  Ramon Huerta,et al.  Contact tracing and epidemics control in social networks. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[25]  Introduction. Cross-scale influences on epidemiological dynamics: from genes to ecosystems , 2007, Journal of The Royal Society Interface.

[26]  Jeremi K. Ochab,et al.  Shift of percolation thresholds for epidemic spread between static and dynamic small-world networks , 2010, 1011.2985.

[27]  Matt J Keeling,et al.  Monogamous networks and the spread of sexually transmitted diseases. , 2004, Mathematical biosciences.

[28]  M. Keeling,et al.  The effects of local spatial structure on epidemiological invasions , 1999, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[29]  Armin R W Elbers,et al.  Estimating the day of highly pathogenic avian influenza (H7N7) virus introduction into a poultry flock based on mortality data. , 2007, Veterinary research.

[30]  Matt J. Keeling,et al.  Representing the UK's cattle herd as static and dynamic networks , 2008, Proceedings of the Royal Society B: Biological Sciences.

[31]  J. Stegeman,et al.  Airborne transmission of a highly pathogenic avian influenza virus strain H5N1 between groups of chickens quantified in an experimental setting. , 2011, Veterinary microbiology.

[32]  R. Christley,et al.  Epidemiological consequences of an incursion of highly pathogenic H5N1 avian influenza into the British poultry flock , 2008, Proceedings of the Royal Society B: Biological Sciences.

[33]  James Truscott,et al.  Control of a highly pathogenic H5N1 avian influenza outbreak in the GB poultry flock , 2007, Proceedings of the Royal Society B: Biological Sciences.

[34]  Rowland R Kao,et al.  Disease dynamics over very different time-scales: foot-and-mouth disease and scrapie on the network of livestock movements in the UK , 2007, Journal of The Royal Society Interface.

[35]  R. Kao,et al.  Generating social network data using partially described networks: an example informing avian influenza control in the British poultry industry , 2011, BMC veterinary research.

[36]  M. Nielen,et al.  Transmission of the highly pathogenic avian influenza virus H5N1 within flocks during the 2004 epidemic in Thailand. , 2007, The Journal of infectious diseases.

[37]  Christl A. Donnelly,et al.  Estimation of Transmission Parameters of H5N1 Avian Influenza Virus in Chickens , 2009, PLoS pathogens.

[38]  N. Savill,et al.  Metapopulation dynamics of Escherichia coli O157 in cattle: an exploratory model , 2007, Journal of The Royal Society Interface.

[39]  R. Webster,et al.  The immunogenicity and efficacy against H5N1 challenge of reverse genetics-derived H5N3 influenza vaccine in ducks and chickens. , 2006, Virology.

[40]  M. Newman,et al.  Network theory and SARS: predicting outbreak diversity , 2004, Journal of Theoretical Biology.

[41]  S. Malik,et al.  Evaluation of Pathogenic Potential of Avian Influenza Virus Serotype H9N2 in Chickens , 2003, Avian diseases.