Remote Sensing Provides a Rapid Epidemiological Context for the Control of African Swine Fever in Germany

被引:1
作者
Bergmann, Hannes [1 ]
Czaja, Eva-Maria [1 ]
Frick, Annett [2 ]
Klaass, Ulf [3 ]
Marquart, Ronny [3 ]
Rudovsky, Annett [3 ]
Holland, Diana [3 ]
Wysocki, Patrick [1 ]
Lehnau, Daike [1 ]
Schroeder, Ronald [1 ]
Rogoll, Lisa [1 ]
Sauter-Louis, Carola [1 ]
Homeier-Bachmann, Timo [1 ]
机构
[1] Friedrich Loeffler Inst, Fed Res Inst Anim Hlth, Inst Epidemiol, Sudufer 10, D-17493 Greifswald, Germany
[2] LUP Luftbild Umwelt Planung GmbH, Grosse Weinmeisterstr 3a, D-14469 Potsdam, Germany
[3] Abt Verbraucherschutz, Landesamt Arbeitsschutz Verbraucherschutz & Gesund, Dezernat V2,Dorfstr 1, D-14513 Ruhlsdorf, Germany
关键词
African swine fever; epidemiology; remote sensing; geographical information systems; risk factor; risk assessment; MANAGEMENT;
D O I
10.3390/s23198202
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
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页数:9
相关论文
共 29 条
[1]   Remote Sensing and Cropping Practices: A Review [J].
Begue, Agnes ;
Arvor, Damien ;
Bellon, Beatriz ;
Betbeder, Julie ;
de Abelleyra, Diego ;
Ferraz, Rodrigo P. D. ;
Lebourgeois, Valentine ;
Lelong, Camille ;
Simoes, Margareth ;
Veron, Santiago R. .
REMOTE SENSING, 2018, 10 (01)
[2]   A Review of Environmental Risk Factors for African Swine Fever in European Wild Boar [J].
Bergmann, Hannes ;
Schulz, Katja ;
Conraths, Franz J. ;
Sauter-Louis, Carola .
ANIMALS, 2021, 11 (09)
[3]   High Virulence of African Swine Fever Virus Caucasus Isolate in European Wild Boars of All Ages [J].
Blome, Sandra ;
Gabriel, Claudia ;
Dietze, Klaas ;
Breithaupt, Angele ;
Beer, Martin .
EMERGING INFECTIOUS DISEASES, 2012, 18 (04) :708-708
[4]   Environmental factors shaping ungulate abundances in Poland [J].
Borowik, Tomasz ;
Cornulier, Thomas ;
Jedrzejewska, Bogumila .
ACTA THERIOLOGICA, 2013, 58 (04) :403-413
[5]   Random forests [J].
Breiman, L .
MACHINE LEARNING, 2001, 45 (01) :5-32
[6]   INVIVO SPECTROSCOPY AND INTERNAL OPTICS OF LEAVES AS BASIS FOR REMOTE-SENSING OF VEGETATION [J].
BUSCHMANN, C ;
NAGEL, E .
INTERNATIONAL JOURNAL OF REMOTE SENSING, 1993, 14 (04) :711-722
[7]   Unravelling the dispersal dynamics and ecological drivers of the African swine fever outbreak in Belgium [J].
Dellicour, Simon ;
Desmecht, Daniel ;
Paternostre, Julien ;
Malengreaux, Celine ;
Licoppe, Alain ;
Gilbert, Marius ;
Linden, Annick .
JOURNAL OF APPLIED ECOLOGY, 2020, 57 (08) :1619-1629
[8]  
European Commission Working Document, 2019, SANTE/7112/2015/Rev. 3
[9]   Forest Stand Species Mapping Using the Sentinel-2 Time Series [J].
Grabska, Ewa ;
Hostert, Patrick ;
Pflugmacher, Dirk ;
Ostapowicz, Katarzyna .
REMOTE SENSING, 2019, 11 (10)
[10]   Modeling the Effects of Duration and Size of the Control Zones on the Consequences of a Hypothetical African Swine Fever Epidemic in Denmark [J].
Halasa, Tariq ;
Botner, Anette ;
Mortensen, Sten ;
Christensen, Hanne ;
Wulff, Sisse Birk ;
Boklund, Anette .
FRONTIERS IN VETERINARY SCIENCE, 2018, 5