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Orcid Publication

Detalle de: Accelerometer-based detection of African swine fever infection in wild boar

Title Accelerometer-based detection of African swine fever infection in wild boar
Abstract

Infectious wildlife diseases that circulate at the interface with domestic animals pose significant threats worldwide and require early detection and warning. Although animal tracking technologies are used to discern behavioural changes, they are rarely used to monitor wildlife diseases. Common disease-induced behavioural changes include reduced activity and lethargy (‘sickness behaviour’). Here, we investigated whether accelerometer sensors could detect the onset of African swine fever (ASF), a viral infection that induces high mortality in suids for which no vaccine is currently available. Taking advantage of an experiment designed to test an oral ASF vaccine, we equipped 12 wild boars with an accelerometer tag and quantified how ASF affects their activity pattern and behavioural fingerprint, using overall dynamic body acceleration. Wild boars showed a daily reduction in activity of 10–20% from the healthy to the viremia phase. Using change point statistics and comparing healthy individuals living in semi-free and free-ranging conditions, we show how the onset of disease-induced sickness can be detected and how such early detection could work in natural settings. Timely detection of infection in animals is crucial for disease surveillance and control, and accelerometer technology on sentinel animals provides a viable complementary tool to existing disease management approaches.

Apa Reference Morelle, K., Barasona, J.A., Bosch, J., Heine, G., Daim, A., Arnold, J., Bauch, T., Kosowska, A., Cadenas-Fernández, E., Aviles, M.M., Zuñiga, D., Wikelski, M., Vizcaino-Sanchez, J.M. & Safi, K. (2023). Accelerometer-based detection of African swine fever infection in wild boar. Proceedings of the Royal Society B: Biological Sciences, 290(2005). 10.1098/rspb.2023.1396
Doi 10.1098/rspb.2023.1396
Publication Date 30 Aug 2023
Publication Type Article
Researcher Marta Martínez Avilés
Ontology Animal health, Epidemiological modelling
Research Groups
Tools

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