Nils Fall

Professor in Clinical Veterinary Epidemiology, Veterinary Epidemiology, Department of Clinical Sciences, Faculty of Veterinary Medicine and Animal Sciences.

My main research areas are production diseases in dairy cows and antibiotic-related issues. The research is mainly based on available secondary databases (e.g. of disease occurrence), many of which are unique to Sweden, but also on large-scale field studies, designed and conducted for specific research projects. I teach basic and applied epidemiology, am an examiner for the courses Population Medicine and Veterinary Public Health with Applied Epidemiology and Epizootology in the Veterinary curriculum, and teach in the Master's Programme in Infection Biology. I also have supervisory duties for e.g. MSc and PhD students.

See also my ORCID page

Sensor-based management of mastitis in automated milking systems

Strategies for mastitis management in sustainable dairy production 

Rethininking of Antimicrobial Decision-Systems in the Management of Animal Production

Antibiotic use in organic milk production | Externwebben (slu.se)

Promoting the health and welfare of dairy cows and young animals through natural feeding systems

Viral infections in organic dairy herds - risks, infection control and organic resilience

• District Veterinarian, 2001-2004
• Veterinary inspector, Swedish Board of Agriculture, 2004
• PhD student in Epidemiology, Inst. For Clinical Sciences, SLU, 2004-2009
• Researcher, Inst. For Clinical Sciences, SLU, 2009-2010
• Epidemiologist, National Board of Health and Welfare, 2010 - 2011
• Postdoctor, Inst. For Clinical Sciences, SLU, 2011- 2013
• Researcher FLK, Inst. For Clinical Sciences, SLU, 2013-2021
• Professor, Inst. For Clinical Sciences, SLU, 2021-

Education, diplomas

• DVM, MSc Veterinary Medicine 2001
• Doctor of Veterinary Medicine, VMD, Veterinary Epidemiology 2009, SLU
• Associate Professor of Veterinary Epidemiology 2019

Ongoing PhD students

Main supervisor:

• Adrien Kroese, Can we automate animal welfare monitoring with 3D pose estimation
• Boris Zandona, Maximising the usefulness of sensors for a successful transition period in dairy cows

Co-supervisor:

• Lisa Dahlin, A low "infectious load" - a prerequisite for healthy pigs and a low antibiotic usage
• Annie Hägglund, Can a low input system be part of the solution for future milk production?

1. Dahlin, L., Hansson, I., Fall, N., Sannö, A., Jacobson, M. Development and evaluation of a standardised sampling protocol to determine the effect of cleaning in the pig sty. Porcine Health Management, 2024, 10(1), 45.
2. Kroese, A., Alam, M., Hernlund, E., Fall, N., Högberg, N. 3-Dimensional pose estimation to detect posture transition in freestall-housed dairy cows. Journal of Dairy Science, 2024, 107(9), pp. 6878–6887.
3. Alvåsen, K., Olofsson, K.M., Fenton, R.K., Tamminen, L.-M., Fall, N. A Pilot Study Using Remote Digital Necropsy Images to Diagnose Gross Lesions in Swedish Cattle. Advances in Animal and Veterinary Sciences, 2024, 12(6), pp. 1143–1147.
4. Alvåsen, K., Haskell, M.J., Ivemeyer, S., Fall, N., Ahmed, H. Assessing short-term economic consequences of cow-calf contact systems in dairy production using a stochastic partial budgeting approach. Frontiers in Animal Science, 2023, 4, 1197327.
5. Gröndal, H., Blanco-Penedo, I., Fall, N., Sternberg-Lewerin, S. Trust, agreements, and occasional breakdowns: Veterinarians' perspectives on farmer-veterinarian relationships and use of antimicrobials for Swedish dairy cattle. Journal of Dairy Science, 2023, 106(1), pp. 534–546.
6. Bonestroo, J., Fall, N., Hogeveen, H., Klaas, I.C., van der Voort, M. The costs of chronic mastitis: A simulation study of an automatic milking system farm. Preventive Veterinary Medicine, 2023, 210, 105799.
7. Eriksson, H., Fall, N., Ivemeyer, S., Schneider, C., Alvåsen, K. Strategies for keeping dairy cows and calves together – a cross-sectional survey study. Animal, 2022, 16(9), 100624.
8. Sternberg-Lewerin, S., Boqvist, S., Nørstebø, S.F., Sørum, H., Wasteson, Y. Nordic Vets against AMR—An Initiative to Share and Promote Good Practices in the Nordic–Baltic Region. Antibiotics, 2022, 11(8), 1050.
9. Bonestroo J., van der Voort M.V.D., Hogeveen H., Klaas I.C., Fall N. Forecasting chronic mastitis using automatic milking system sensor data and gradient-boosting classifiers. Computers and Electronics in Agriculture, 2022, 198, 107002.
10. Hickman R.A., Agarwal V., Sjöström K., Sternberg-Lewerin S., Järhult J.D. Dissemination of Resistant Escherichia coli Among Wild Birds, Rodents, Flies, and Calves on Dairy Farms. Frontiers in Microbiology, 2022, 13, 838339.
11. Bonestroo J., van der Voort M.V.D., Fall N., Klaas I.C., Hogeveen H. Estimating the nonlinear association of online somatic cell count, lactate dehydrogenase and electrical conductivity with milk yield. Journal of Dairy Science, 2022, 105(4), pp. 3518–3529.
12. Bonestroo J., van der Voort M.V.D., Hogeveen H., Klaas I.C., Fall N. Forecasting chronic mastitis using milking machine data on online somatic cell counts and random forest classification. Precision Livestock Farming - ECPLF Conference Proceedings, 2022, pp. 514–519.
13. Gröndal, H., Fall, N., Blanco-Penedo, I., Sternberg-Lewerin, S. Restrictive but not restricted: Perspectives on antimicrobial use and antimicrobial resistance among Swedish dairy veterinarians. Veterinary Record Open, 2021, 8(1), e25
14. Bonestroo, J., Fall, N., van der Voort, M., Hogeveen, H., Emanuelson, U. Diagnostic properties of milk diversion and farmer-reported mastitis to indicate clinical mastitis status in dairy cows using Bayesian latent class analysis. Livestock Science, 2021, 253, 104698
15. Bonestroo, J., van der Voort, M., Fall, N., Emanuelson, U., Klaas, I.C. Progression of different udder inflammation indicators and their episode length after onset of inflammation using automatic milking system sensor data. Journal of Dairy Science, 2021, 104(3), pp. 3458–3473
16. Sjöström, K., Hickman, R.A., Tepper, V., Antillón, G.O., Järhult, J.D., Emanuelson, U., Fall, N., Lewerin, S.S. Antimicrobial resistance patterns in organic and conventional dairy herds in sweden. Antibiotics, 2020, 9(11), pp. 1–17, 834
17. Olmos Antillón, G., Sjöström, K., Fall, N., Sternberg Lewerin, S., Emanuelson, U. Antibiotic Use in Organic and Non-Organic Swedish Dairy Farms: A Comparison of Three Recording Methods. Vet. Sci. - Veterinary Epidemiology and Economics, 2020, accepted for publication
18. van Soest, F.J.S., Mourits, M.C.M., Blanco-Penedo, I., Duval, J., Fall, N., Krieger, M., Sjöstrom, K., Hogeveen, H. Farm-specific failure costs of production disorders in European organic dairy herds. Prev Vet Med, 2019. 168:1 p.19-29.
19. Sjöström, K., Sternberg-Lewerin, S., Blanco-Penedo, I., Duval, J.E., Krieger, M., Emanuelson, U., Fall, N. Effects of a participatory approach, with systematic impact matrix analysis in herd health planning in organic dairy cattle herds. Animal, Epub 2018 Aug 10.
20. Fall, N., Ohlson, A., Emanuelson, U., Dohoo, I. Exploring milk shipment data for their potential for disease monitoring and for assessing resilience in dairy farms. Prev Vet Med, 2018. 154: p. 23-28.
21. Emanuelson, U., Sjöström, K., Fall, N. Biosecurity and animal disease management in organic and conventional Swedish dairy herds: A questionnaire study. Acta Vet Scand, 2018. 60 (1) Article nr 23.
22. Sjöström, K., Fall, N., Blanco-Penedo, I., Duval, J.E., Krieger, M., Emanuelson, U. Lameness prevalence and risk factors in organic dairy herds in four European countries. Livestock Science, 2018. 208 44-50.