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Full-Text Articles in Medicine and Health Sciences
Not All Surveillance Data Are Created Equal—A Multi‐Method Dynamic Occupancy Approach To Determine Rabies Elimination From Wildlife, Amy J. Davis, Jordona D. Kirby, Richard B. Chipman, Kathleen M. Nelson, Tatiana Xifara, Colleen T. Webb, Ryan Wallace, Amy T. Gilbert, Kim M. Pepin
Not All Surveillance Data Are Created Equal—A Multi‐Method Dynamic Occupancy Approach To Determine Rabies Elimination From Wildlife, Amy J. Davis, Jordona D. Kirby, Richard B. Chipman, Kathleen M. Nelson, Tatiana Xifara, Colleen T. Webb, Ryan Wallace, Amy T. Gilbert, Kim M. Pepin
United States Department of Agriculture Wildlife Services: Staff Publications
1. A necessary component of elimination programmes for wildlife disease is effective surveillance. The ability to distinguish between disease freedom and non‐detection can mean the difference between a successful elimination campaign and new epizootics. Understanding the contribution of different surveillance methods helps to optimize and better allocate effort and develop more effective surveillance programmes.
2. We evaluated the probability of rabies virus elimination (disease freedom) in an enzootic area with active management using dynamic occupancy modelling of 10 years of raccoon rabies virus (RABV) surveillance data (2006–2015) collected from three states in the eastern United States. We estimated detection probability …
Improving Risk Assessment Of The Emergence Of Novel Influenza A Viruses By Incorporating Environmental Surveillance, Kim M. Pepin, Matthew W. Hopken, Susan A. Shriner, Erica Spackman, Zaid Abdo, Colin Parrish, Steven Steven, James O. Lloyd-Smith, Antoinette J. Piaggio
Improving Risk Assessment Of The Emergence Of Novel Influenza A Viruses By Incorporating Environmental Surveillance, Kim M. Pepin, Matthew W. Hopken, Susan A. Shriner, Erica Spackman, Zaid Abdo, Colin Parrish, Steven Steven, James O. Lloyd-Smith, Antoinette J. Piaggio
United States Department of Agriculture Wildlife Services: Staff Publications
Reassortment is an evolutionary mechanism by which influenza A viruses (IAV) generate genetic novelty. Reassortment is an important driver of host jumps and is widespread according to retrospective surveillance studies.However, predicting the epidemiological risk of reassortant emergence in novel hosts from surveillance data remains challenging. IAV strains persist and cooccur in the environment, promoting co-infection during environmental transmission. These conditions offer opportunity to understand reassortant emergence in reservoir and spillover hosts. Specifically, environmental RNA could provide rich information for understanding the evolutionary ecology of segmented viruses, and transform our ability to quantify epidemiological risk to spillover hosts. However, significant challenges …