Nina Dam Otten

Nina Dam Otten

Associate Professor

ORCID: 0000-0003-1004-1474

Publication year:
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11 - 20 out of 71Page size: 10
  1. 2022
  2. Published

    Forord

    Agger, Jens Frederik Gramstrup, Houe, Hans & Dam Otten, Nina, 2022, Veterinær Retsmedicin. Agger, J. F. G., Houe, H. & Otten, N. D. (eds.). 1 ed. Frederiksberg, Denmark: Biofolia, 1 p.

    Research output: Chapter in Book/Report/Conference proceeding › Preface/postscript › Education

  3. Published

    Mærkning og registrering af dyr

    Houe, Hans, Dam Otten, Nina, Nielsen, Søren Saxmose, Nielsen, Liza Rosenbaum & Agger, Jens Frederik Gramstrup, 2022, Veterinær Retsmedicin. Agger, J. F. G., Houe, H. & Otten, N. D. (eds.). 1 ed. Frederiksberg, Denmark: Biofolia

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Education

  4. Published

    Sundhedsrådgivningsaftaler

    Dam Otten, Nina, 2022, Veterinær Retsmedicin. Agger, J. F. G., Houe, H. & Otten, N. D. (eds.). 1 ed. Frederiksberg, Denmark: Biofolia

    Research output: Chapter in Book/Report/Conference proceeding › Book chapter › Education

  5. Published

    Veterinær retsmedicin

    Agger, Jens Frederik Gramstrup (ed.), Houe, Hans (ed.) & Dam Otten, Nina (ed.), 2022, Biofolia.

    Research output: Book/Report › Book › Education

  6. 2021
  7. Published

    Application of methods to assess animal welfare and suffering caused by infectious diseases in cattle and swine populations

    Nielsen, Søren Saxmose, Houe, Hans, Denwood, Matt, Nielsen, Liza Rosenbaum, Forkman, Björn, Dam Otten, Nina & Agger, Jens Frederik Gramstrup, Nov 2021, In: Animals. 11, 11, 3017.

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

  8. Published

    Application of Methods to Assess Animal Welfare and Suffering Caused by Infectious Diseases in Cattle and Swine Populations

    Nielsen, Søren Saxmose, Houe, Hans, Denwood, Matt, Nielsen, Liza Rosenbaum, Forkman, Björn, Dam Otten, Nina & Agger, Jens Frederik Gramstrup, 2021, In: Animals. 11, p. 1-20 20 p., 3017.

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

  9. Published

    Estimating Clinically Relevant Cut-Off Values for a High-Throughput Quantitative Real-Time PCR Detecting Bacterial Respiratory Pathogens in Cattle

    Klompmaker, A. F., Brydensholt, M., Michelsen, Anne Marie, Denwood, Matt, Kirkeby, Carsten, Larsen, Lars, Goecke, Nicole Bakkegård, Dam Otten, Nina & Nielsen, Liza Rosenbaum, 2021, In: Frontiers in Veterinary Science. 8, 674771.

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

  10. Published

    Evaluation of Treatment With Respiratory Gene Technology and Serum in a Group of Standard Bred Racehorses With Cytological Evidence of Mild Equine Asthma

    Hansen, Sanni, Laustsen, L., Dam Otten, Nina, Skovgaard, K., Bech, R., Byrgesen, S., Hopster-Iversen, Charlotte & Fjeldborg, Julie, 2021, In: Journal of Equine Veterinary Science. 101, 103435.

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

  11. Published

    Quantifying the impact of infectious diseases on animal welfare

    Dam Otten, Nina, Agger, Jens Frederik Gramstrup, Denwood, Matt, Nielsen, Søren Saxmose, Nielsen, Liza Rosenbaum, Forkman, Björn & Houe, Hans, 2021, Proceedings of the 8th International Conference on the Assessment of Animal Welfare at Farm and Group level. Wageningen Academic Publishers, p. 132

    Research output: Chapter in Book/Report/Conference proceeding › Conference abstract in proceedings › Research › peer-review

  12. 2020
  13. Published

    A weak point analysis of welfare in Danish dairy herds using two different welfare assessment systems

    Dam Otten, Nina, Rousing, T., Oliveira, V. H. S. D., reiten, M., Michelsen, Anne Marie, Hakansson, Franziska, Lund, Vibe Pedersen, Houe, Hans, Denwood, Matt, Sørensen, J. T., Forkman, Björn & Kirchner, M., 2020, In: Animal Welfare. 29, p. 197-207 11 p.

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

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ID: 20479154