Epidemics generally spread through a succession of waves that reflect factors on multiple
timescales. On short timescales, superspreading events lead to burstiness and …

Epidemiological-Mathematical models are powerful tools for estimating the course of a
pandemic and exploring different scenarios through pandemic intervention policies (PIPs) …

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

Deterministic models have a long history of being applied to the study of infectious disease
epidemiology. We highlight and discuss nine challenges in this area. The first two concern …

This review provides a pedagogic and self-contained introduction to master equations and
to their representation by path integrals. Since the 1930s, master equations have served as …

We present modeling of the COVID-19 epidemic in Illinois, USA, capturing the
implementation of a stay-at-home order and scenarios for its eventual release. We use a non …

The outbreak of the coronavirus disease 2019 (COVID-19) has now spread throughout the
globe infecting over 150 million people and causing the death of over 3.2 million people …

The widely used susceptible-infected-recovered (SIR) epidemic model assumes a uniform,
well-mixed population, and incorporation of spatial heterogeneities remains a major …

Background The Zika virus was first discovered in 1947. It was neglected until a major
outbreak occurred on Yap Island, Micronesia, in 2007. Teratogenic effects resulting in …

COVID-19 is a global epidemic. Till now, there is no remedy for this epidemic. However,
isolation and social distancing are seemed to be effective preventive measures to control …