In the late stages of an epidemic, infections are often sporadic and geographically
distributed. Spatially structured stochastic models can capture these important features of …

Background Simple phenomenological growth models can be useful for estimating
transmission parameters and forecasting epidemic trajectories. However, most existing …

SARS-CoV-2 started propagating worldwide in January 2020 and has now reached virtually
all communities on the planet. This short review provides evidence of this spread and …

With the recent resurgence of vector-borne diseases due to urbanization and development
there is an urgent need to understand the dynamics of vector-borne diseases in rapidly …

A comprehensive view of disease epidemics demands a deep understanding of the complex
interplay between human behaviour and infectious diseases. Here, we propose a flexible …

Spatial heterogeneity, habitat connectivity, and rates of movement can have large impacts
on the persistence and extinction of infectious diseases. These factors are shown to …

Recurrent outbreaks of zoonotic infectious diseases highlight the importance of considering
the interconnections between human, animal, and environmental health in disease …

Abstract A multi-patch HIV/AIDS epidemic model with fractional order derivative is
formulated to investigate the effect of human movement on the spread of HIV/AIDS epidemic …

We propose and analyze a family of epidemiological models that extend the classic
Susceptible-Infectious-Recovered/Removed (SIR)-like framework to account for dynamic …

We develop a multi-group epidemic framework via virtual dispersal where the risk of
infection is a function of the residence time and local environmental risk. This novel …