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

Proceedings. Biological sciences publica este artículo de investigación

30 de agosto de 2023

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




Morelle K., Barasona JA., Bosch J., Heine G., Daim A., Arnold J., Bauch T., Kosowska A., Cadenas-Fernández E., Martinez-Aviles M., Zuniga AB., Wikelski M., Sanchez-Vizcaino JM. y Safi K.




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

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



Participantes:

Department of Migration. Max Planck Institute of Animal Behavior.

Department of Game Management and Wildlife Biology. Faculty of Agrobiology. Czech University of Life Sciences.

Universidad ComplutenseDepartamento de Sanidad Animal. Facultad de Veterinaria. Universidad Complutense (UCM).

Instituto Nacional de Investigación y Tecnología Agraria y AlimentariaCentro de Investigación en Sanidad Animal (CISA). Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA).

Institute of Wildlife Biology and Game Management. Department of Integrative Biology and Biodiversity Research. University of Natural Resources and Life Sciences.

Wildlife Research Unit. Agricultural Centre Baden-Württemberg.

Centre for the Advanced Study of Collective Behaviour. University of Konstanz.

Universidad ComplutenseServicio de Inmunología Viral y Medicina Preventiva (SUAT). Centro de Vigilancia Sanitaria Veterinaria (VISAVET). Universidad Complutense (UCM).



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- Desarrollan sensores de movimiento para detectar si un jabalí está infectado con peste porcina africana - animalshealth.es







FACTOR YEAR Q
3.800 2023

NLMID: 101245157

PMID: 37644835

ISSN: 0962-8452



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


REVISTA: Proc Biol Sci


NUMERACIÓN: 290(2005):20231396


AÑO: 2023


EDITORIAL: London : Royal Society of London, c1990-


AUTORES: Morelle K., Barasona JA., Bosch J., Heine G., Daim A., Arnold J., Bauch T., Kosowska A., Cadenas-Fernández E., Martinez-Aviles M., Zuniga AB., Wikelski M., Sanchez-Vizcaino JM. and Safi K.


2nd
José Ángel Barasona García-Arévalo
3rd
Jaime Bosch López
8th
Aleksandra Kosowska
10th
Marta Martínez Avilés
13th
José Manuel Sánchez-Vizcaíno Rodríguez

DOI: https://doi.org/10.1098/rspb.2023.1396


CITA ESTA PUBLICACIÓN:

Morelle K., Barasona JA., Bosch J., Heine G., Daim A., Arnold J., Bauch T., Kosowska A., Cadenas-Fernández E., Martinez-Aviles M., Zuniga AB., Wikelski M., Sanchez-Vizcaino JM. y Safi K. Accelerometer-based detection of African swine fever infection in wild boar. Proceedings. Biological sciences. 290(2005):20231396. 2023. (A). ISSN: 0962-8452. DOI: 10.1098/rspb.2023.1396


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