Publication Details |
| Category | Text Publication |
| Reference Category | Journals |
| DOI | 10.3897/rio.10.e125521 |
Licence  |
|
| Title (Primary) | Prototype Biodiversity Digital Twin: disease outbreaks |
| Author | Ingenloff, K.; Ben Aziza, S.; Weiland, C.; Nikolova, N.; Thulke, H.-H.
; Lange, M.; Reichold, A.; Schigel, D. |
| Source Titel | Research Ideas and Outcomes |
| Year | 2024 |
| Department | OESA |
| Volume | 10 |
| Page From | e125521 |
| Language | englisch |
| Topic | T5 Future Landscapes |
| Keywords | wild boar; Sus scrofa; African swine fever; ecological modelling; outbreak management; mechanistic model |
| Abstract | African swine fever is a transmissible virus impacting wild and domestic swine populations. In Europe, it is non-native and the recently introduced genotype affects wild boar populations with occasional outbreaks in domestic pigs. The ability to predict short-term spatial dynamics of this disease will greatly improve our ability to control and limit future spread of the virus. The BioDT disease outbreaks prototype, currently in development, implements an individual-based landscape-level mechanistic model as a digital twin aimed at providing informed support for management decisions in response to the spread of African swine fever in European wild boar populations. |
| Persistent UFZ Identifier | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=29251 |
| Ingenloff, K., Ben Aziza, S., Weiland, C., Nikolova, N., Thulke, H.-H., Lange, M., Reichold, A., Schigel, D. (2024): Prototype Biodiversity Digital Twin: disease outbreaks Res. Ideas Outcomes 10 , e125521 10.3897/rio.10.e125521 |
|