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

Adaptation is often thought to affect the likelihood that a virus will be able to successfully
emerge in a new host species. If so, surveillance for genetic markers of adaptation could …

Decisions to eliminate malaria from all or part of a country involve a complex set of factors,
and this complexity is compounded by ambiguity surrounding some of the key terminology …

Population-level analyses often use average quantities to describe heterogeneous systems,
particularly when variation does not arise from identifiable groups,. A prominent example …

Genomic data are increasingly being used to understand infectious disease epidemiology.
Isolates from a given outbreak are sequenced, and the patterns of shared variation are used …

Many infectious diseases spread through populations via the networks formed by physical
contacts among individuals. The patterns of these contacts tend to be highly heterogeneous …

Seasonal change in the incidence of infectious diseases is a common phenomenon in both
temperate and tropical climates. However, the mechanisms responsible for seasonal …

This book is designed to be a practical study in infectious disease dynamics. It offers an easy-
to-follow implementation and analysis of mathematical epidemiology. It focuses on recent …

Mathematics has long been an important tool in infectious disease epidemiology. I will
provide a brief overview of compartmental models, the dominant framework for modeling …

The Ebola virus is currently one of the most virulent pathogens for humans. The latest major
outbreak occurred in Guinea, Sierra Leone, and Liberia in 2014. With the aim of …