A review of estimated transmission parameters for the spread of avian influenza viruses

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A review of estimated transmission parameters for the spread of avian influenza viruses. / Kirkeby, Carsten; Ward, Michael P.

In: Transboundary and Emerging Diseases, Vol. 69, No. 6, 2022, p. 3238-3246.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Kirkeby, C & Ward, MP 2022, 'A review of estimated transmission parameters for the spread of avian influenza viruses', Transboundary and Emerging Diseases, vol. 69, no. 6, pp. 3238-3246. https://doi.org/10.1111/tbed.14675

APA

Kirkeby, C., & Ward, M. P. (2022). A review of estimated transmission parameters for the spread of avian influenza viruses. Transboundary and Emerging Diseases, 69(6), 3238-3246. https://doi.org/10.1111/tbed.14675

Vancouver

Kirkeby C, Ward MP. A review of estimated transmission parameters for the spread of avian influenza viruses. Transboundary and Emerging Diseases. 2022;69(6):3238-3246. https://doi.org/10.1111/tbed.14675

Author

Kirkeby, Carsten ; Ward, Michael P. / A review of estimated transmission parameters for the spread of avian influenza viruses. In: Transboundary and Emerging Diseases. 2022 ; Vol. 69, No. 6. pp. 3238-3246.

Bibtex

@article{52c107ede3914be8ac7dbacad62346bc,
title = "A review of estimated transmission parameters for the spread of avian influenza viruses",
abstract = "Avian influenza poses an increasing problem in Europe and around the world. Simulation models are a useful tool to predict the spatiotemporal risk of avian influenza spread and evaluate appropriate control actions. To develop realistic simulation models, valid transmission parameters are critical. Here, we reviewed published estimates of the basic reproduction number (R0), the latent period and the infectious period by virus type, pathogenicity, species, study type and poultry flock unit. We found a large variation in the parameter estimates, with highest R0 estimates for H5N1 and H7N3 compared with other types; for low pathogenic avian influenza compared with high pathogenic avian influenza types; for ducks compared with other species; for estimates from field studies compared with experimental studies; and for within-flock estimates compared with between-flock estimates. Simulation models should reflect this observed variation so as to produce more reliable outputs and support decision-making. How to incorporate this information into simulation models remains a challenge.",
keywords = "avian influenza virus, mathematical model, poultry, simulation model, transmission",
author = "Carsten Kirkeby and Ward, {Michael P.}",
note = "Publisher Copyright: {\textcopyright} 2022 The Authors. Transboundary and Emerging Diseases published by Wiley-VCH GmbH.",
year = "2022",
doi = "10.1111/tbed.14675",
language = "English",
volume = "69",
pages = "3238--3246",
journal = "Transboundary and Emerging Diseases",
issn = "1865-1674",
publisher = "Wiley-Blackwell",
number = "6",

}

RIS

TY - JOUR

T1 - A review of estimated transmission parameters for the spread of avian influenza viruses

AU - Kirkeby, Carsten

AU - Ward, Michael P.

N1 - Publisher Copyright: © 2022 The Authors. Transboundary and Emerging Diseases published by Wiley-VCH GmbH.

PY - 2022

Y1 - 2022

N2 - Avian influenza poses an increasing problem in Europe and around the world. Simulation models are a useful tool to predict the spatiotemporal risk of avian influenza spread and evaluate appropriate control actions. To develop realistic simulation models, valid transmission parameters are critical. Here, we reviewed published estimates of the basic reproduction number (R0), the latent period and the infectious period by virus type, pathogenicity, species, study type and poultry flock unit. We found a large variation in the parameter estimates, with highest R0 estimates for H5N1 and H7N3 compared with other types; for low pathogenic avian influenza compared with high pathogenic avian influenza types; for ducks compared with other species; for estimates from field studies compared with experimental studies; and for within-flock estimates compared with between-flock estimates. Simulation models should reflect this observed variation so as to produce more reliable outputs and support decision-making. How to incorporate this information into simulation models remains a challenge.

AB - Avian influenza poses an increasing problem in Europe and around the world. Simulation models are a useful tool to predict the spatiotemporal risk of avian influenza spread and evaluate appropriate control actions. To develop realistic simulation models, valid transmission parameters are critical. Here, we reviewed published estimates of the basic reproduction number (R0), the latent period and the infectious period by virus type, pathogenicity, species, study type and poultry flock unit. We found a large variation in the parameter estimates, with highest R0 estimates for H5N1 and H7N3 compared with other types; for low pathogenic avian influenza compared with high pathogenic avian influenza types; for ducks compared with other species; for estimates from field studies compared with experimental studies; and for within-flock estimates compared with between-flock estimates. Simulation models should reflect this observed variation so as to produce more reliable outputs and support decision-making. How to incorporate this information into simulation models remains a challenge.

KW - avian influenza virus

KW - mathematical model

KW - poultry

KW - simulation model

KW - transmission

U2 - 10.1111/tbed.14675

DO - 10.1111/tbed.14675

M3 - Journal article

C2 - 35959696

AN - SCOPUS:85136497460

VL - 69

SP - 3238

EP - 3246

JO - Transboundary and Emerging Diseases

JF - Transboundary and Emerging Diseases

SN - 1865-1674

IS - 6

ER -

ID: 319164684