STOC free: An innovative framework to compare probability of freedom from infection in heterogeneous control programmes

A.M. van Roon*, I.M.G.A. Santman-Berends, D. Graham, S.J. More, M. Nielen, A. Madouasse, M. Mercat, C. Fourichon, J. Gethmann, J. Frössling, A. Lindberg, C Correia-Gomes, GJ Gunn, C. Sauter-Louis, MK Henry, L. van Duijn, G. van Schaik

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
48 Downloads (Pure)

Fingerprint

Dive into the research topics of 'STOC free: An innovative framework to compare probability of freedom from infection in heterogeneous control programmes'. Together they form a unique fingerprint.

Engineering

Mathematics

Agricultural and Biological Sciences