Matt Denwood

Matt Denwood is a Professor in the Department of Veterinary and Animal Sciences within the Animal Welfare and Disease Control section at the University of Copenhagen's Faculty of Health and Medical Sciences. His position combines veterinary expertise with advanced statistical knowledge to address complex problems in animal health and disease systems.

Professor Denwood's primary research interests focus on the application of quantitative epidemiology to animal disease and production challenges. His work encompasses statistical and mathematical modeling of animal disease systems, appropriate consideration of diagnostic tests for disease evaluation, and the use of stochastic modeling to understand underlying disease processes. He leverages his veterinary background, statistical knowledge, government advisory experience, and programming skills to bridge theoretical and applied aspects of epidemiology and quantitative biology. His research frequently involves computationally intensive statistical methods applied to problems in ecology and epidemiology through collaborations with researchers from veterinary, medical, and life science departments across Denmark, the UK, and worldwide.

Analysis of his recent publications reveals a strong emphasis on veterinary epidemiology, disease modeling, and diagnostic test evaluation across diverse contexts including wildlife disease spread, antimicrobial resistance, avian influenza, food safety, and healthcare systems. His methodological approach often employs advanced statistical techniques such as latent class modeling, with a systems perspective evident in his 'farm-to-fork' analyses of food safety risks and comprehensive disease modeling frameworks.

As a researcher in the veterinary domain, Professor Denwood receives funding from various government, charity, and livestock industry bodies. His professional activities include significant participation in the International Symposium on Veterinary Epidemiology and Economics (ISVEE), where he has served as workshop leader and organizer for multiple events, including ISVEE 16 and the upcoming ISVEE 17 in November 2024. He has also contributed to important public health initiatives, including mathematical modeling of COVID-19 transmission and hospital burden during Denmark's partial reopening scenarios in 2020.