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Growing evidence suggests that multiple wildlife species can be infected with peste des petits ruminants virus (PPRV), with important consequences for the potential maintenance of PPRV in communities of susceptible hosts, and the threat that PPRV may pose to the conservation of wildlife populations and resilience of ecosystems. Significant knowledge gaps in the epidemiology of PPRV across the ruminant community (wildlife and domestic), and the understanding of infection in wildlife and other atypical host species groups (e.g., camelidae, suidae, and bovinae) hinder our ability to apply necessary integrated disease control and management interventions at the wildlife-livestock interface. Similarly, knowledge gaps limit the inclusion of wildlife in the FAO/OIE Global Strategy for the Control and Eradication of PPR, and the framework of activities in the PPR Global Eradication Programme that lays the foundation for eradicating PPR through national and regional efforts. This article reports on the first international meeting on, “Controlling PPR at the livestock-wildlife interface,” held in Rome, Italy, March 27–29, 2019. A large group representing national and international institutions discussed recent advances in our understanding of PPRV in wildlife, identified knowledge gaps and research priorities, and formulated recommendations. The need for a better understanding of PPRV epidemiology at the wildlife-livestock interface to support the integration of wildlife into PPR eradication efforts was highlighted by meeting participants along with the reminder that PPR eradication and wildlife conservation need not be viewed as competing priorities, but instead constitute two requisites of healthy socio-ecological systems.

The Alpine bow has a great potential for renewable energy (RE) development. At the same time, wildlife in Alpine areas is at risk and has to be protected. More of 40% of the Alpine area is covered by protected areas. They vary in definition and level of protection regarding their category, region, and country. Therefore, some of those protected areas may be suited for the development of bioenergy whereas others may be more suited for the development of hydropower. Using a precise classification of those protected areas, and assuming the correct protection level the techno-economic model, spatial explicit, BeWhere, will identify the potential from hydropower, bioenergy, wind and solar power while balancing the ecosystems services in the Alps. The model is based on the minimization of the whole supply chain, starting from the collection of the feedstock to the delivery of the final product to the consumers in the Alps and in the major cities outside the Alps. Access to the site is a determinant issue to build a new power plant in the Alps, therefore the model uses a detailed road network for the transport of the feedstock and accessibility, as well as a map of the high voltage power line. The future RE production plants will be installed if the production cost is competitive enough against fossil fuel based power and heat. The model will then provide the optimal locations, numbers, technologies, and capacities for hydropower stations, bioenergy production plants, solar PV fields and wind parks, together with their corresponding costs and emissions. A series of scenarios will be carried out varying the fossil fuel price, the carbon cost and the level of protection of the environment. For each of the scenarios, the RE potential, production cost, and emission reductions will be assessed. The results will provide key indications to the stakeholders and the policymakers on the consequences of protecting the environment and the development of RE production.

Hintergrund: Für die berufsbezogene Auswertung von Risikofaktoren und Erkrankungen von Erwerbstätigen ist die Angabe einer Schlüsselnummer nach der internationalen (ISCO) bzw. nationalen Klassifikation der Berufe (KldB) erforderlich. Zur Standardisierung der Verschlüsselung von Freitextangaben[for full text, please go to the a.m. URL], Mainz//2011; 56. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie (gmds), 6. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi)