Details zur Publikation

Referenztyp Zeitschriften
DOI / URL Link
Volltext Shareable Link
Titel (primär) Elucidating transmission parameters of African swine fever through wild boar carcasses by combining spatio-temporal notification data and agent-based modelling
Autor Lange, M.; Thulke, H.-H.;
Journal / Serie Stochastic Environmental Research and Risk Assessment
Erscheinungsjahr 2017
Department OESA;
Band/Volume 31
Heft 2
Sprache englisch;
POF III (gesamt) T11;
Supplements https://static-content.springer.com/esm/art%3A10.1007%2Fs00477-016-1358-8/MediaObjects/477_2016_1358_MOESM1_ESM.pdf
https://static-content.springer.com/esm/art%3A10.1007%2Fs00477-016-1358-8/MediaObjects/477_2016_1358_MOESM2_ESM.pdf
Keywords Spatio-temporal data; Parameter estimation; African swine fever; Wild boar; Individual-based model; Calibration statistics
UFZ Querschnittsthemen RU5;
Abstract Mechanistic epidemiological modelling has a role in predicting the spatial and temporal spread of emerging disease outbreaks and purposeful application of control treatment in animal populations. Especially in the case of infectious diseases newly emerging in an ecological habitat, lack of knowledge may hamper direct parameterisation of model algorithms. Along with experimental studies observational data is usually based on case notifications. These data are widely acknowledged as having “biological precision” due to e.g. convenient sampling procedures, host or human activity patterns or diagnostic limitations under field conditions. Nevertheless, the data comprises the complex spatio-temporal distribution patterns of the infection. In the literature, this data value is non-systematically used to inform model development although the need for and value of the data is well recognised. Here we address the newly emerging epidemic of African swine fever spreading in Eurasian wild boar using an existing spatio-temporally explicit individual-based model of wild boar. The disease etiology required the implementation of a sub-model regarding transmission by carcasses left after infected individuals have died. However, the experimental evidence about the mechanism involved in carcass-mediated spread of the infection still has to be established. We propose a mechanistic quantitative procedure to optimise calibration of several uncertain parameters based on the spatio-temporal model output from the simulation environment and the spatio-temporal case data of infectious disease notifications. The best agreement with the spatio-temporal spreading pattern was achieved by parameterisation that suggests ubiquitous accessibility to carcasses but with marginal chance of being contacted by conspecifics e.g., avoidance behaviour. The parameter estimation procedure is fully general and applicable to problems where spatio-temporal explicit data recording and spatial-explicit dynamic modelling was performed.
ID 18622
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=18622
Lange, M., Thulke, H.-H. (2017):
Elucidating transmission parameters of African swine fever through wild boar carcasses by combining spatio-temporal notification data and agent-based modelling
Stoch. Environ. Res. Risk Assess. 31 (2), 379 - 391