A modelling framework for the prediction of herd-level probability of infection from longitudinal data

Aurélien Madouasse
, Mathilde Mercat
, Annika M van Roon
, David A Graham
, Maria Guelbenzu-Gonzalo
, Inge Santman-Berends
, Gerdien van Schaik
, Mirjam Nielen
, Jenny Frossling
, Estelle Agren
, RW Humphry
, JI Eze
, GJ Gunn
, MK Henry
, Jörn Gethmann
, Simon J More
, Nils Toft
, Christine Fourichon

Centre for Epidemiology and Planetary Health (CEPH)

Research output: Working paper/Preprint › Preprint

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2 Article

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2022
A modelling framework for the prediction of the herd-level probability of infection from longitudinal data
Madouasse, A., Mercat, M., van Roon, A. M., Graham, D. A., Guelbenzu, M., Santman-Berends, I. M., van Schaik, G., Nielen, M., Frössling, J., Agren, E., Humphry, R., Eze, J., Gunn, G., Henry, M., Gethmann, J., More, S. J., Toft, N. & Fourichon, C., 7 Jan 2022, (First published) In: Peer Community Journal. 2, e4.
Research output: Contribution to journal › Article › peer-review

Open Access
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Output-based assessment of herd-level freedom from infection in endemic situations: Application of a Bayesian Hidden Markov model
van Roon, A. M., Madouasse, A., Toft, N., Santman-Berends, I. M. G. A., Gethmann, J., Eze, J., Humphry, R. W., Graham, D., Guelbenzu-Gonzalo, M., Nielen, M., More, S. J., Mercat, M., Fourichon, C., Sauter-Louis, C., Frössling, J., Ågren, E., Gunn, G. J., Henry, M. K. & van Schaik, G., Jul 2022, In: Preventive Veterinary Medicine. 204, 105662.
Research output: Contribution to journal › Article › peer-review

Open Access
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4 Link opens in a new tab Citations (Scopus)

77 Downloads (Pure)