Quantum computing holds substantial potential for applications in biology and medicine,
spanning from the simulation of biomolecules to machine learning methods for subty** …

Alzheimer's disease (AD) is a spatially dynamic pathology that implicates a growing volume
of multiscale data spanning genetic, cellular, tissue, and organ levels of the organization …

We propose a compartmental mathematical model for the spread of the COVID-19 disease
with special focus on the transmissibility of super-spreaders individuals. We compute the …

The coronavirus disease 2019 (COVID-19) pandemic has placed epidemic modeling at the
forefront of worldwide public policy making. Nonetheless, modeling and forecasting the …

A generalized version of fractional models is introduced for the COVID-19 pandemic,
including the effects of isolation and quarantine. First, the general structure of fractional …

COVID-19 was declared a global pandemic by the World Health Organization in March
2020, and has infected more than 4 million people worldwide with over 300,000 deaths by …

We use data on deaths in New York City, Madrid, Stockholm, and other world cities as well
as in various US states and other regions and countries to estimate, quickly and with limited …

Data on population movements can be helpful in designing targeted policy responses to
curb epidemic spread. However, it is not clear how to exactly leverage such data and how …

The outbreak of COVID-19 disrupts the life of many people in the world. The state of Arizona
in the US emerges as one of the country's newest COVID-19 hot spots. Accurate forecasting …

This work explores the dynamics of an epidemic considering an SIVIS (susceptible-infected-
vaccinated-infected-susceptible) epidemiological model, accounting for heterogeneous …