Publication Details
Category Text Publication
Reference Category Journals
DOI 10.1111/1365-2656.13070
Title (Primary) Seasonal host life‐history processes fuel disease dynamics at different spatial scales
Author Scherer, C.; Radchuk, V.; Staubach, C.; Müller, S.; Blaum, N.; Thulke, H.-H. ORCID logo ; Kramer‐Schadt, S.
Source Titel Journal of Animal Ecology
Year 2019
Department OESA
Volume 88
Issue 11
Page From 1812
Page To 1824
Language englisch
Supplements https://besjournals.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2F1365-2656.13070&file=jane13070-sup-0001-supinfo.pdf
Keywords classical swine fever; disease invasion; infection risk; pathogen persistence; seasonality; Sus scrofa; wild boar; wildlife disease
Abstract
  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=22140
Scherer, C., Radchuk, V., Staubach, C., Müller, S., Blaum, N., Thulke, H.-H., Kramer‐Schadt, S. (2019):
Seasonal host life‐history processes fuel disease dynamics at different spatial scales
J. Anim. Ecol. 88 (11), 1812 - 1824 10.1111/1365-2656.13070