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Model-inference reconstructed SARS-CoV-2 transmission dynamics in South Africa during March 2020 to February 2022, and quantified the immune erosion potential and transmissibility of three major variants (Beta, Delta, and Omicron), highlighting their common characteristics and the need for more proactive preparedness.

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.

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.

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.

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.

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.

A large collaborative project combined many different researchers' forecasts of COVID-19 across Europe, making predictions used in policy more reliable.