Pages that link to "Item:Q50039"

The following pages link to Daniel P. Walsh, PhD (Q50039):

Displayed 50 items.

• Enhanced surveillance strategies for detecting and monitoring chronic wasting disease in free-ranging cervids (Q62332) ‎ (← links)
• Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality (Q145386) ‎ (← links)
• Semi-quantitative assessment of disease risks at the human, livestock, wildlife interface for the Republic of Korea using a nationwide survey of experts: A model for other countries (Q145665) ‎ (← links)
• Recovering individual-level spatial inference from aggregated binary data (Q145742) ‎ (← links)
• Efficacy of fenbendazole and ivermectin against Trichuris spp. in African green monkeys (Chlorocebus sabaeus) in Barbados West Indies (Q145790) ‎ (← links)
• Space matters: Host spatial structure and the dynamics of plague transmission (Q146553) ‎ (← links)
• Artificial intelligence and avian influenza: Using machine learning to enhance active surveillance for avian influenza viruses (Q149310) ‎ (← links)
• Long-term survival of Pseudogymnoascus destructans at elevated temperatures (Q150287) ‎ (← links)
• When can the cause of a population decline be determined? (Q151072) ‎ (← links)
• No evidence of infection or exposure to Highly Pathogenic Avian Influenzas in peridomestic wildlife on an affected poultry facility (Q152606) ‎ (← links)
• Concordance in diagnostic testing for respiratory pathogens of bighorn sheep (Q152699) ‎ (← links)
• Using auxiliary information to improve wildlife disease surveillance when infected animals are not detected: a Bayesian approach (Q154532) ‎ (← links)
• Integrated survival analysis using an event-time approach in a Bayesian framework (Q156541) ‎ (← links)
• Removal of chronic Mycoplasma ovipneumoniae carrier ewes eliminates pneumonia in a bighorn sheep population (Q156661) ‎ (← links)
• Improving the accessibility and transferability of machine learning algorithms for identification of animals in camera trap images: MLWIC2 (Q156672) ‎ (← links)
• Montana Cooperative Wildlife Research Unit (Q225533) ‎ (← links)
• Application of a systems approach for management of chronic wasting disease (Q226951) ‎ (← links)
• Research in response to Florida’s emerging coral disease (Q227500) ‎ (← links)
• Assessing the Ability of Incineration to Inactivate CWD Prions from Carcasses (Q227513) ‎ (← links)
• Advancing the Use of RT-QuIC for Applications in CWD Management (Q227515) ‎ (← links)
• Disease Ecology and Modeling (Q229028) ‎ (← links)
• Techniques for capturing bighorn sheep lambs (Q236279) ‎ (← links)
• Spatial and temporal patterns of avian paramyxovirus-1 outbreaks in Double-Crested Cormorants (Phalacrocorax auritus) in the USA (Q236727) ‎ (← links)
• “One Health” or three? Publication silos among the One Health disciplines (Q238314) ‎ (← links)
• A framework for modeling emerging diseases to inform management (Q238903) ‎ (← links)
• The Bayesian group lasso for confounded spatial data (Q238904) ‎ (← links)
• When mechanism matters: Bayesian forecasting using models of ecological diffusion (Q239225) ‎ (← links)
• A dynamic spatio-temporal model for spatial data (Q240131) ‎ (← links)
• Metagenomic sequencing sheds light on microbes putatively associated with pneumonia-related fatalities of white-tailed deer (Odocoileus virginianus) (Q254864) ‎ (← links)
• Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases (Q258674) ‎ (← links)
• Wildlife health surveillance: Gaps, needs and opportunities (Q262681) ‎ (← links)
• Bayesian forecasting of disease spread with little or no local data (Q264303) ‎ (← links)
• Epidemiological modeling of SARS-CoV-2 in white-tailed deer (Odocoileus virginianus) reveals conditions for introduction and widespread transmission (Q264776) ‎ (← links)
• Applying a Bayesian weighted surveillance approach to detect chronic wasting disease in white‐tailed deer (Q268013) ‎ (← links)
• Prion seeding activity in plant tissues detected by RT-QuIC (Q269364) ‎ (← links)
• Chronic wasting disease: State of the science (Q276403) ‎ (← links)
• Factors influencing elk recruitment across ecotypes in the Western United States (Q277290) ‎ (← links)
• Predicting the initial spread of novel Asian origin influenza A viruses in the continental USA by wild waterfowl (Q284127) ‎ (← links)
• Bayesian spatio-temporal survival analysis for all types of censoring with application to a wildlife disease study (Q285969) ‎ (← links)
• Challenges and opportunities developing mathematical models of shared pathogens of domestic and wild animals (Q292127) ‎ (← links)
• Population Monitoring (Q303448) ‎ (← links)
• Detection of prions from spiked and free-ranging carnivore feces (Q303971) ‎ (← links)
• Model-based surveillance system design under practical constraints with application to white-nose syndrome (Q310326) ‎ (← links)
• An ecological and conservation perspective (Q311803) ‎ (← links)
• Example code for implementing physics-informed neural networks and generating simulated data (Q318477) ‎ (← links)
• Chronic Wasting Disease Surveillance Optimization Software Version 2 (Q318478) ‎ (← links)
• Code for Rapid prototyping for quantifying belief weights of competing hypotheses about emergent diseases (Q318479) ‎ (← links)
• Code for Assimilating ecological theory with empiricism: Using constrained generalized additive models to enhance survival analyses (Q318480) ‎ (← links)
• Pseudogymnoascus destructans detections by US county 2007-2022 (Q318795) ‎ (← links)
• Expert assessments of hypotheses concerning the etiological agent(s) of Stony Coral Tissue Loss Disease collected during a rapid prototyping project (Q323004) ‎ (← links)