ENETWILD

We are a European network of experts on wildlife management and health supported by and working closely with EFSA (European Food Safety Authority): 🇪🇺 collecting and generating comparable data at European level 💡 developing ways and means for data collection and validation 📍 establishing a robust data repository We believe that monitoring wildlife populations is an essential part of the One Health concept. Standardised data help increase preparedness for emerging threats and help limit the spread of diseases among and between wildlife populations and livestock. These data will also contribute to wildlife management and conservation efforts. Become a collaborator and contribute to our data set: https://lnkd.in/ebXRNQA9 #Wildlife #Conservation #OneHealth

We focus on collecting data on wildlife populations, analyzing them, interpreting the results and formulating strategies for surveillance and management of wildlife diseases. Having information on wildlife populations is a crucial aspect to assess infectious disease risks more accurately and manage diseases. In an interview, wildlife health and disease expert Gavier-Widén Dolores from the SVA - Swedish Veterinary Agency talks about the importance of monitoring wildlife populations. Read the full interview and subscribe to the ENETWILD newsletter to receive more information about wildlife disease management: https://lnkd.in/eU7n-Y5u #Wildlife #Biosecurity

Equally high standards in animal disease surveillance across countries are important to manage animal diseases effectively. The Surveillance Evaluation Tool (SET) Manual from the Food and Agriculture Organization of the United Nations (FAO) helps countries improve their surveillance systems. SET reveals the strengths and weaknesses of the assessed surveillance system, encompassing the country’s institutional organization, laboratory operations, surveillance activities, epidemiologic surveillance workforce, data management, communications, and evaluation. Find out more https://lnkd.in/ecuii5nw #AnimalHealth #BioSecurity

Have you heard about the SMART platform? It offers software and analysis tools for conservationists to support them in wildlif management and protection. It helps with a range of management activities including: 🦋biodiversity conservation ⚖️law enforcement 😎tourism 🔍threat level assessments Find out more about it: https://lnkd.in/gwjFgaTv #Wildlife #WildlifeManagement #Conservation

The 14th European Vertebrate Management Conference extended its deadline for abstract submission. Apply until 30th November and present your work at the conference in Slovenia next year May: https://www.evmc.online/ The conference is a platform to present insights into recent findings and specific symposia will include topics like: Ecology, physiology and behaviour, population monitoring and management, zoonotic pathogens and parasites; new tools and methods, human-animal conflicts and Social dimension. #Wildlife #Ecology

The Random Encounter Model is a model that can estimate animal abundance from camera trap data. It was developed by Marcus Rowcliffe from Zoological Society of London (ZSL). He develops not only statistical methods and tools to estimate animal abundance from camera trap data, but also the software and standards needed to create efficient data pipelines to apply these methods. Learn more about the Random Encounter Model and how it can help with wildlife conservation and management: https://lnkd.in/eqKd7Uz3 #Wildlife #Conservation

A study for the European Food Safety Authority (EFSA) examined how wild boar density influences African swine fever (ASF) spread using a spatially explicit mechanistic model calibrated with high-resolution surveillance data from northern Italy (2022–2023). The findings revealed no overall effect of wild boar density on ASF spread across the entire study period but identified a wave-specific effect, with density influencing the spread during the second wave (October 2022–September 2023). More information below 👇

In our recent report, we present data on the distribution and density of wild boar, European roe deer, and red fox. We obtained these data by implementing a camera trapping protocol at 44 sites across 22 countries and using the random encounter model for density estimations. They show that the collaborative approach is important for wildlife monitoring. The precision of the density estimates for wild boar increased compared to the previous analysis period and further increase is expected for the next analysis report due to improved study design and increased number of camera trap sites. We also describe the activities of the 2024 campaign, that focused on sites at risk of African Swine Fever with wild boar/pig interactions and on sites containing wetlands, as potential hubs for Avian Influenza. Read the full report here: https://lnkd.in/eE8CX-4C A big thanks to all the organizations who committed to collect and share data! #OpenAccess #Wildlife #Epidemiology #OneHealth

Another newsletter is coming out shortly about wildlife ecology and management! Be quick and sign up, so you receive it directly in your email inbox. The upcoming issue includes: 📄recent publications about wildlife diseases and how to manage them 📅upcoming events on wildlife management 🗣️an interview with Joaquin Vicente from Universidad de Castilla-La Mancha whose research focuses on health and population monitoring of wildlife, epidemiology and disease control Subscribe here: https://enetwild.com/ #Wildlife Science For Change

What are the epidemiological drivers behind spill-over events of avian influenze to mammals? What are the clinical and pathological features observed in naturally infected mammals? What are good strategies for surveillance, control, and prevention? In our recently published study, we looked for answers to these questions with a focus on wild mammals from different environmental settings Key factors influencing spill-over include: 🐦 bird migration patterns 🌳 shared habitats, 🐺 mammalian diet and behaviour, 🦠environmental contamination. Outbreaks in farmed and captive wildlife are often linked to inadequate biosecurity and contaminated feeding practices. Read about the results and the best containment strategies: https://lnkd.in/en-R5Aj9 #OpenAccess #BioSecurity #WildlifeManagement #AfianFlu