R code supporting: Detecting disease progression from animal movement using hidden Markov models

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Authors: Dongmin Kim, Théo Michelot, Katherine Mertes, Jared A. Stabach, John Fieberg
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Abstract

This repository contains R code supporting: Detecting disease progression from animal movement using hidden Markov models (HMMs). We provide a series of .Rmd files that can be compiled to form a transferable workflow for detecting infection from animal movement. We demonstrate the flexibility of (H)HMMs in capturing different disease scenarios and a workflow for appropriate model selection. Our approach has the potential to improve wildlife disease surveillance, inform management of vulnerable populations, and enhance understanding of disease dynamics.

Fields of Study & Subjects

Wildlife Ecology and Conservation Animal Disease Management and Epidemiology Data-Driven Disease Surveillance

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
11 February 2026
Language
EN