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

Transbound Emerg Dis

Sydney School of Veterinary Science, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.

Published: November 2022

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 (R ), 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 R 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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10088015PMC
http://dx.doi.org/10.1111/tbed.14675DOI Listing

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