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Found 9 papers, 2 papers with code
Early detection of disease outbreaks and non-outbreaks using incidence data
In summary, we showed that there are statistical features that distinguish outbreak and non-outbreak sequences long before outbreaks occur.
An early warning indicator trained on stochastic disease-spreading models with different noises
The timely detection of disease outbreaks through reliable early warning signals (EWSs) is indispensable for effective public health mitigation strategies.
Can machine learning predict citizen-reported angler behavior?
Prediction of angler behaviors, such as catch rates and angler pressure, is essential to maintaining fish populations and ensuring angler satisfaction.
Revealing the unseen: Likely half of the Americans relied on others' experience when deciding on taking the COVID-19 vaccine
Efficient coverage for newly developed vaccines requires knowing which groups of individuals will accept the vaccine immediately and which will take longer to accept or never accept.
Simulating how animals learn: a new modelling framework applied to the process of optimal foraging
SDT effectively explains many learning tasks in animals, but extending this theory to predict how animals will learn in changing environments still poses a challenge for ecologists.
Calculating the timing and probability of arrival for sea lice dispersing between salmon farms
Sea lice are a threat to the health of both wild and farmed salmon and an economic burden for salmon farms.
Boosting propagule transport models with individual-specific data from mobile apps
The results indicate that anglers' local preferences and their tendency to revisit previous destinations reduce the number of long inter-waterbody trips potentially dispersing whirling disease.
A framework for studying transients in marine metapopulations
Transient dynamics can often differ drastically from the asymptotic dynamics of systems.
Detecting seasonal episodic-like spatiotemporal memory patterns using animal movement modelling
Here we describe a model that accounts for the memory of seasonal or ephemeral qualities of an animal's environment.
