Yasser Mahmmod DVM, MVSc, PhD, FHEA, DACAS

Associate Professor in Production Animal Medicine

Dr. Mahmmod is an enthusiastic veterinarian, lecturer, and results-oriented researcher. With a career spanning 20 years in clinical practice and academic pursuits, Dr. Mahmmod holds a Ph.D. on cattle health and epidemiology from University of Copenhagen, Denmark. His Ph.D. studies focused on udder health management and mastitis epidemiology in dairy cows. He pursued his postdoctoral fellow training at University of Minnesota, USA. He worked on different dairy production medicine topics, particularly bovine lameness, and herd health management in organic dairy farms in the Midwest. In 2016, he joined University of Copenhagen as a postdoctoral fellow after being awarded an international fellowship “Merit Postdoc Fellowship”. He investigated the epidemiology and diagnostics of contagious mastitis pathogens in dairy herds using Bayesian latent class modelling. In 2018, he joined Animal Health Research Centre (CReSA) at Autonomous University of Barcelona, Spain after receiving the European Marie Skłodowska-Curie Fellowship. He worked on metagenomics characterization of microbial communities, animal microbiome, and their interaction with animal health and production. Dr. Mahmmod obtained his DVM followed by a combined internal medicine residency and Master program at Zagazig University. He studied the clinical epidemiology of ticks and tick-borne diseases in cattle and buffaloes in Egypt. Through his academic carrier, he was a recipient of several awards and recognitions, and his research work has been listed as Editor’s Choice in the journal of Dairy Science. For instance, he received the European Marie Skłodowska-Curie Fellowship, Medal of Excellence from the President of Egypt, best master thesis in veterinary sciences, and State Encouragement Award, etc.).

Before joining the LIU College of Veterinary Medicine as an Associate professor, Dr. Mahmmod had been promoted into several academic positions at research institutions in Denmark, Spain, the USA, China, Egypt, and UAE, starting from an instructor/ demonstrator position in farm animal medicine and epidemiology. Dr. Mahmmod is a Fellow of the Higher Education Academy and a certified expert in digital teaching and learning from Blackboard Academy. He served as a system course team leader and coordinator of many veterinary core courses including veterinary professional practice, veterinary epidemiology, infectious diseases, animal nutrition, animal welfare and animal science. At the international level, Dr. Mahmmod is serving as an expert on the Quadripartite Technical Group on the Economics of AMR (QTG-EA), the WHO, in addition to the United Nations Emergency Management Centre, the FAO. He has supervised many trainees including master, PhD. He has been the recipient of many prestigious grants from various national and international funding agencies. Dr. Mahmmod has published more than 80 manuscripts in top ranked peer-reviewed journals. He is an Ad hoc reviewer and serves on the editorial board of many journals in the field (Frontiers of Vet Sciences, JDS, Animal, PREVET, BMC veterinary research, etc.). He is also a grant reviewer for many funding bodies in the Middle East and Europe (e.g., ASRT, STDF, COST). He is a member of many professional scientific societies such as ARPAS, EAAP, NMC, ACE, AAFSPHV, European Cattle network, and Mastitis Research Workers Network.

Dr. Mahmmod has a good teaching experience while adopting Bloom's Taxonomy concept in his courses. His teaching style is student-centered, primarily research-oriented teaching. He has developed syllabi and directed courses mainly in livestock production medicine, food animal health, and production. During his interactions with students, Dr. Mahmmod strives to convey his passion for the discipline and to promote a learning environment that fosters student engagement and small group discussion. He encourages cultivating and refining the critical thinking, communication, and methodological skills necessary for future veterinarians to succeed in their research and careers so that they could then go on to improve animal welfare, protect humans against zoonotic diseases, and subsequently make our world better.

Dr. Mahmmod’s interdisciplinary approach, incorporating applied food animal medicine epidemiology, microbiology, and data science to addresses practical challenges in livestock health& production. His research interests include bovine herd health management, ruminant population health, infectious diseases of farm animals, tackling of antimicrobial use and AMR in farm animals, biostatistical data management and disease modelling.

Publications - (selected manuscripts)

1. Webb, H. C., Abdulla, A., Mahmmod, Y., Dalky, H.F. 2024. “Exploring Attitudes Towards Schizophrenia and Depression Among Emirati University Students’ Using a Vignette-Based Questionnaire.” In: Aljawarneh, Y.M., Seboussi, R. Blatch, G.L. (eds) Advancements in Health Sciences: Insights into Technology, Education, and Biomedical Research. pp. 15-37. Springer, Cham, Switzerland. https://doi.org/10.1007/978-3-031-57773-4.

2. Hao Yuan H, Jiang T, Zhang WD, Yang Z, Luo S, Wang X, Zhu X, Qi S, Mahmmod YS, Zhang XX, Yuan ZG. Multiomics and bioinformatics identify differentially expressed effectors in the brain of Toxoplasma gondii infected masked palm civet. Front Cell Infect Microbiol. 2023 Sep 25;13:1267629.

3. López-Serrano S, Mahmmod Y, Christensen D, Ebensen T, Guzmán CA, Rodríguez F, Segalés J, Aragón V. Immune responses following neonatal vaccination with conserved F4 fragment of VtaA proteins from virulent Glaesserella parasuis adjuvanted with CAF®01 or CDA. Vaccine X. 2023 Jun 10;14:100330.

4. Zhang X, Yuan H, Yang Z, Hu X, Mahmmod Y, Zhu X, Zhao C, Zhai J, Zhang XX, Luo S, Wang XH, Xue M, Zheng C, Yuan ZG. SARS-CoV-2: An Updated Review Highlighting Its Evolution and Treatments. Vaccines (Basel). 2022 Dec 14;10(12):2145.

5. Zhang X, Yuan H, Mahmmod Y, Yang Z, Zhao M, Song Y, Luo S, Zhang XX, Yuan ZG. Insight into the current Toxoplasma gondii DNA vaccine: a review article. Expert Rev Vaccines. 2023 Jan-Dec;22(1):66-89.

6. Hag-Ali M, AlShamsi AS, Boeijen L, Mahmmod Y, Manzoor R, Rutten H, Mweu MM, El-Tholoth M, AlShamsi AA. The detection dogs test is more sensitive than real-time PCR in screening for SARS-CoV-2. Commun Biol. 2021 Jun 3;4(1):686.

7. Elsohaby I, Mahmmod Y, Mweu MM, Ahmed HA, El-Diasty MM, Elgedawy AA, Mahrous E, El Hofy FI. Accuracy of PCR, mycobacterial culture and interferon-γ assays for detection of Mycobacterium bovis in blood and milk samples from Egyptian dairy cows using Bayesian modelling. Prev Vet Med. 2020 Aug;181:105054.

8. Bolte J, Zhang Y, Wente N, Mahmmod Y, Svennesen L, Krömker V. Comparison of phenotypic and genotypic antimicrobial resistance patterns associated with Staphylococcus aureus mastitis in German and Danish dairy cows. J Dairy Sci. 2020 Apr;103(4):3554-3564.

9. Mahmmod Y, Correa-Fiz F, Aragon V. Variations in association of nasal microbiota with virulent and non-virulent strains of Glaesserella (Haemophilus) parasuis in weaning piglets. Vet Res. 2020 Feb 3;51(1):7.

10. Svennesen L, Mahmmod Y, Skjølstrup NK, Mathiasen LR, Katholm J, Pedersen K, Klaas IC, Nielsen SS. Accuracy of qPCR and bacterial culture for the diagnosis of bovine intramammary infections and teat skin colonisation with Streptococcus agalactiae and Staphylococcus aureus using Bayesian analysis. Prev Vet Med. 2018 Dec 1;161:69-74.