Remote Sensing Provides a Rapid Epidemiological Context for the Control of African Swine Fever in Germany.
African swine fever
epidemiology
geographical information systems
remote sensing
risk assessment
risk factor
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
30 Sep 2023
30 Sep 2023
Historique:
received:
09
08
2023
revised:
21
09
2023
accepted:
25
09
2023
medline:
23
10
2023
pubmed:
14
10
2023
entrez:
14
10
2023
Statut:
epublish
Résumé
Transboundary disease control, as for African swine fever (ASF), requires rapid understanding of the locally relevant potential risk factors. Here, we show how satellite remote sensing can be applied to the field of animal disease control by providing an epidemiological context for the implementation of measures against the occurrence of ASF in Germany. We find that remotely sensed observations are of the greatest value at a lower jurisdictional level, particularly in support of wild boar carcass search efforts.
Identifiants
pubmed: 37837032
pii: s23198202
doi: 10.3390/s23198202
pmc: PMC10575123
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Federal Ministry of Transport and Digital Infrastructure, Germany
ID : 50EW1706
Organisme : European Union, Horizon 2020 research and innovation programme
ID : 773701
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