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

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

^*Corresponding author for this work

Centre for Epidemiology and Planetary Health (CEPH)

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

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6 Citations
2 Article
1 Preprint

3 results

2023
A framework for assessing the confidence in freedom from infection in animal disease control programmes
van Schaik, G., Madouasse, A., van Roon, A. M., More, S. J., Graham, D. A., Frossling, J., Gethmann, J., Fourichon, C., Mercat, M., Agren, E., Sauter-Louis, C., Gunn, G., Eze, J., Humphry, R., Henry, M., Guelbenzu, M., Nielen, M. & Santman-Berends, I. M., 30 May 2023, (First published) In: OIE Revue Scientifique et Technique. 42, p. 210-217 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
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1 Citation (Scopus)

62 Downloads (Pure)
2022
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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2 Citations (Scopus)

46 Downloads (Pure)
2021
A modelling framework for the prediction of herd-level probability of infection from longitudinal data
Madouasse, A., Mercat, M., van Roon, A. M., Graham, D. A., Guelbenzu-Gonzalo, M., Santman-Berends, I., van Schaik, G., Nielen, M., Frossling, J., Agren, E., Humphry, R., Eze, J., Gunn, G., Henry, M., Gethmann, J., More, S. J., Toft, N. & Fourichon, C., 1 Sept 2021, (First published) bioRxiv, 31 p. (ver. 6 peer-reviewed and recommended by PCI Animal Science).
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A modelling framework for the prediction of the herd-level probability of infection from longitudinal data

Research output

Search results

A framework for assessing the confidence in freedom from infection in animal disease control programmes

Output-based assessment of herd-level freedom from infection in endemic situations: Application of a Bayesian Hidden Markov model

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