Research perspectives on animal health in the era of artificial intelligence
Leveraging artificial intelligence (AI) approaches in animal health (AH) makes it possible to
address highly complex issues such as those encountered in quantitative and predictive …
address highly complex issues such as those encountered in quantitative and predictive …
Modeling dynamic human behavioral changes in animal disease models: challenges and opportunities for addressing bias
Over the past several decades, infectious disease modeling has become an essential tool
for creating counterfactual scenarios that allow the effectiveness of different disease control …
for creating counterfactual scenarios that allow the effectiveness of different disease control …
Spatial dynamics and control of a crop pathogen with mixed-mode transmission
CF McQuaid, F van Den Bosch… - PLoS computational …, 2017 - journals.plos.org
Trade or sharing that moves infectious planting material between farms can, for vertically-
transmitted plant diseases, act as a significant force for dispersal of pathogens, particularly …
transmitted plant diseases, act as a significant force for dispersal of pathogens, particularly …
A stochastic SIR model on a graph with epidemiological and population dynamics occurring over the same time scale
P Montagnon - Journal of mathematical biology, 2019 - Springer
We define and study an open stochastic SIR (Susceptible–Infected–Removed) model on a
graph in order to describe the spread of an epidemic on a cattle trade network with …
graph in order to describe the spread of an epidemic on a cattle trade network with …
Disease risk level prediction based on knowledge driven optimized deep ensemble framework
Healthcare information in diverse formats has been steadily boosting the growth of health
systems. This information covers a wide range of new sources, such as computer files, cell …
systems. This information covers a wide range of new sources, such as computer files, cell …
[HTML][HTML] A mechanistic model captures livestock trading, disease dynamics, and compensatory behaviour in response to control measures
MA Knight, MR Hutchings, PCL White… - Journal of Theoretical …, 2022 - Elsevier
Trade is a complex, multi-faceted process that can contribute to the spread and persistence
of disease. We here develop novel mechanistic models of supply. Our model is framed …
of disease. We here develop novel mechanistic models of supply. Our model is framed …
Generative models of network dynamics provide insight into the effects of trade on endemic livestock disease
MA Knight, PCL White… - Royal Society …, 2021 - royalsocietypublishing.org
We develop and apply analytically tractable generative models of livestock movements at
national scale. These go beyond current models through mechanistic modelling of …
national scale. These go beyond current models through mechanistic modelling of …
Simulating contact networks for livestock disease epidemiology: a systematic review
WTM Leung, JW Rudge… - Journal of the Royal …, 2023 - royalsocietypublishing.org
Contact structure among livestock populations influences the transmission of infectious
agents among them. Models simulating realistic contact networks therefore have important …
agents among them. Models simulating realistic contact networks therefore have important …
Individual-based model for the control of Bovine Viral Diarrhea spread in livestock trade networks
J Bassett, J Gethmann, P Blunk, FJ Conraths… - Journal of Theoretical …, 2021 - Elsevier
Abstract Bovine Viral Diarrhea (BVD) is a cattle disease that causes substantial financial
losses, in particular to the dairy industry. Hence, several countries including Germany …
losses, in particular to the dairy industry. Hence, several countries including Germany …
Dynamic centrality measures for cattle trade networks
P Hoscheit, É Anthony, E Vergu - Applied Network Science, 2021 - Springer
We study network centrality measures that take into account the specific structure of
networks with time-stamped edges. In particular, we explore how such measures can be …
networks with time-stamped edges. In particular, we explore how such measures can be …