Mark Arnold Data-verified

OverviewAI-generated summary

Mark Arnold's research focuses on the application of mathematical and computational modeling to address challenges in animal and public health surveillance. His work investigates the distribution of infectious agents and the development of predictive models to aid in disease control strategies. He has explored the use of machine learning techniques to enhance surveillance systems for animal populations.

Arnold's publications include studies on the prevalence and attribution of bacterial infections like Salmonella in both human and animal populations, utilizing Bayesian statistical methods. He has also contributed to the understanding of prion diseases, including Bovine Spongiform Encephalopathy (BSE) and scrapie, by analyzing epidemic data and monitoring disease intensity. His research has informed strategies for controlling diseases such as bovine tuberculosis in wildlife.

With a h-index of 28 and over 2,400 citations across 122 publications, Arnold's work demonstrates a significant contribution to the field of veterinary public health and mathematical epidemiology. He has received funding for projects related to disease modeling and surveillance.

Metrics

• h-index: 28
• Publications: 122
• Citations: 2,475