TY - JOUR A1 - Scherer, Cedric A1 - Radchuk, Viktoriia A1 - Staubach, Christoph A1 - Mueller, Sophie A1 - Blaum, Niels A1 - Thulke, Hans-Hermann A1 - Kramer-Schadt, Stephanie T1 - Seasonal host life-history processes fuel disease dynamics at different spatial scales JF - Journal of animal ecology : a journal of the British Ecological Society N2 - Understanding the drivers underlying disease dynamics is still a major challenge in disease ecology, especially in the case of long-term disease persistence. Even though there is a strong consensus that density-dependent factors play an important role for the spread of diseases, the main drivers are still discussed and, more importantly, might differ between invasion and persistence periods. Here, we analysed long-term outbreak data of classical swine fever, an important disease in both wild boar and livestock, prevalent in the wild boar population from 1993 to 2000 in Mecklenburg-Vorpommern, Germany. We report outbreak characteristics and results from generalized linear mixed models to reveal what factors affected infection risk on both the landscape and the individual level. Spatiotemporal outbreak dynamics showed an initial wave-like spread with high incidence during the invasion period followed by a drop of incidence and an increase in seroprevalence during the persistence period. Velocity of spread increased with time during the first year of outbreak and decreased linearly afterwards, being on average 7.6 km per quarter. Landscape- and individual-level analyses of infection risk indicate contrasting seasonal patterns. During the persistence period, infection risk on the landscape level was highest during autumn and winter seasons, probably related to spatial behaviour such as increased long-distance movements and contacts induced by rutting and escaping movements. In contrast, individual-level infection risk peaked in spring, probably related to the concurrent birth season leading to higher densities, and was significantly higher in piglets than in reproductive animals. Our findings highlight that it is important to investigate both individual- and landscape-level patterns of infection risk to understand long-term persistence of wildlife diseases and to guide respective management actions. Furthermore, we highlight that exploring different temporal aggregation of the data helps to reveal important seasonal patterns, which might be masked otherwise. KW - classical swine fever KW - disease invasion KW - infection risk KW - pathogen persistence KW - seasonality KW - Sus scrofa KW - wild boar KW - wildlife disease Y1 - 2019 U6 - https://doi.org/10.1111/1365-2656.13070 SN - 0021-8790 SN - 1365-2656 VL - 88 IS - 11 SP - 1812 EP - 1824 PB - Wiley CY - Hoboken ER - TY - JOUR A1 - Thulke, Hans-Hermann A1 - Tischendorf, L. A1 - Staubach, C. A1 - Selhorst, T. A1 - Jeltsch, Florian A1 - Müller, T. A1 - Schlüter, H. A1 - Wissel, Christian T1 - The spatio-temporal dynamics of a post-vaccination recovery of rabies in foxes and emergency vaccination planning Y1 - 2000 ER - TY - JOUR A1 - Wiegand, K. A1 - Ward, D. A1 - Thulke, Hans-Hermann A1 - Jeltsch, Florian T1 - From snap-shot information to long-term population dynamics of Acacias by a simulation model Y1 - 2000 ER - TY - JOUR A1 - Jeltsch, Florian A1 - Hansen, Frank A1 - Tackmann, K. A1 - Thulke, Hans-Hermann T1 - Köderauslageintervalle und Dauer der Bekämpfung des Kleinen Fuchsbandwurms : eine Modellierstudie Y1 - 2003 ER - TY - JOUR A1 - Jeltsch, Florian A1 - Hansen, Frank A1 - Thulke, Hans-Hermann T1 - Simulationsmodelle zur Planung von Strategien in der Bekämpfung von Wildtiererkrankungen Y1 - 2003 ER - TY - JOUR A1 - Jeltsch, Florian A1 - Hansen, Frank A1 - Tackmann, K. A1 - Wissel, Christian A1 - Thulke, Hans-Hermann T1 - Controlling Echinococcus multilocularis - ecological implications of field trials Y1 - 2003 ER - TY - JOUR A1 - Jeltsch, Florian A1 - Hansen, Frank A1 - Tackmann, K. A1 - Staubach, C. A1 - Thulke, Hans-Hermann T1 - Processes leading to a spatial aggregation of Echinococcus multilocularis in its natural intermediate host Microtus arvalis N2 - The small fox tapeworm (Echinococcus multilocularis) shows a heterogeneous spatial distribution in the intermediate host (Microtus arvalis). To identify the ecological processes responsible for this heterogeneity, we developed a spatially explicit simulation model. The model combines individual-based (foxes, Vulpes vulpes) and grid- based (voles) techniques to simulate the infections in both intermediate and definite host. If host populations are homogeneously mixed, the model reproduces field data for parasite prevalence only for a limited number of parameter combinations. As ecological parameters inevitably vary to a certain degree, we discarded the homogeneous mixing model as insufficient to gain insight into the ecology of the fox tapeworm cycle. We analysed five different model scenarios, each focussing on an ecological process that might be responsible for the heterogeneous spatial distribution of E multilocularis in the intermediate host. Field studies revealed that the prevalence ratio between intermediate and definite host remains stable over a wide range of ecological conditions. Thus, by varying the parameters in simulation experiments, we used the robustness of the agreement between field data and model output as quality criterion for the five scenarios. Only one of the five scenarios was found to reproduce the prevalence ratio over a sufficient range of parameter combinations. In the accentuated scenario most tapeworm eggs die due to bad environmental conditions before they cause infections in the intermediate host. This scenario is supported by the known sensitivity of tapeworm eggs to high temperatures and dry conditions. The identified process is likely to lead to a heterogeneous availability of infective eggs and thus to a clumped distribution of infected intermediate hosts. In conclusion, areas with humid conditions and low temperatures must be pointed out as high risk areas for human exposure to E. multilocularis eggs as well. (C) 2004 on behalf of Australian Society for Parasitology Inc. Published by Elsevier Ltd. All rights reserved Y1 - 2004 ER - TY - JOUR A1 - Grimm, Volker A1 - Revilla, Eloy A1 - Berger, Uta A1 - Jeltsch, Florian A1 - Mooij, Wolf M. A1 - Railsback, Steven Floyd A1 - Thulke, Hans-Hermann A1 - Weiner, Jacob A1 - Wiegand, Thorsten A1 - DeAngelis, Donald L. T1 - Pattern-oriented modeling of agend-based complex systems : lessons from ecology N2 - Agent-based complex systems are dynamic networks of many interacting agents; examples include ecosystems, financial markets, and cities. The search for general principles underlying the internal organization of such systems often uses bottom-up simulation models such as cellular automata and agent-based models. No general framework for designing, testing, and analyzing bottom-up models has yet been established, but recent advances in ecological modeling have come together in a general strategy we call pattern-oriented modeling. This strategy provides a unifying framework for decoding the internal organization of agent-based complex systems and may lead toward unifying algorithmic theories of the relation between adaptive behavior and system complexity Y1 - 2005 ER -