A review of mathematical models applied to the West Africa Ebola epidemic suggests ways to improve the use of mathematical modeling in responding to public health emergencies.

The evaluation of a dengue early warning system demonstrates its potential to assist dengue prevention and control up to three months ahead of future epidemics.

Data-driven methods predict over 35 mosquitoes are potential vectors of Zika virus, suggesting a larger geographic area and a greater human population is at risk of infection.

The neural population of the Aplysia's pedal ganglion are a low-dimensional spiral attractor, and the parameters of the attractor directly define the properties of the Aplysia's escape locomotion behaviour.

The global ensemble forecasting niche modelling of 11 vector competent triatomine species revealed climatic suitable regions outside their native distribution including the cosmopolitan vector Triatoma rubrofasciata.

Integrating over multiple forms of statistical uncertainty associated with serological surveys can improve serosurvey design while also enabling that uncertainty to be appropriately propagated through epidemiological models.

Action-value signals previously found in many brain areas can be accounted for neither by concurrent serial correlations in neural activity and action value nor by signals for other decision variables.

Important nonlinear links between infection, inflammation, and disease severity were revealed using experimentally validated mathematical models.

Mobile phone data reveal aspects of human mobility patterns in Sub-Saharan Africa missed by standard spatial models however, model estimates can be improved by accounting for trip urbanicity and region.

Selfee, a self-supervised learning approach, is designed to extract comprehensive and discriminative features directly from raw videos of animal behaviors which can be used for in-depth analysis.