Multistability or coexistence of different attractors for a given set of parameters is one of the
most exciting phenomena in dynamical systems. It can be found in different areas of science …

Bacterial growth presents many beautiful phenomena that pose new theoretical challenges
to statistical physicists, and are also amenable to laboratory experimentation. This review …

Infectious diseases are a threat to human health and a hindrance to societal development.
Consequently, the spread of diseases in both time and space has been widely studied …

Modelling is valuable in the planning and evaluation of interventions, especially when a
controlled trial is ethically or logistically impossible. Models are often used to calculate the …

Stochastic competitive models with pollution and without pollution are proposed and
studied. For the first system with pollution, sufficient criteria for extinction, nonpersistence in …

Seasonality is an important feature of essentially all natural systems but the consequences
of seasonality have been vastly underappreciated. Early work emphasized the role of …

The purpose of time series analysis via mechanistic models is to reconcile the known or
hypothesized structure of a dynamical system with observations collected over time. We …

There is a growing recognition that ecological systems can spend extended periods of time
far away from an asymptotic state, and that ecological understanding will therefore require a …

Avian influenza virus (AIV) persists in North American wild waterfowl, exhibiting major
outbreaks every 2–4 years. Attempts to explain the patterns of periodicity and persistence …

Models that deal with the individual level of populations have shown the importance of
stochasticity in ecology, epidemiology and evolution. An increasingly common approach to …