There is a long tradition of using mathematical models to generate insights into the
transmission dynamics of infectious diseases and assess the potential impact of different …

Networks and the epidemiology of directly transmitted infectious diseases are fundamentally
linked. The foundations of epidemiology and early epidemiological models were based on …

Epidemic forecasting has a dubious track-record, and its failures became more prominent
with COVID-19. Poor data input, wrong modeling assumptions, high sensitivity of estimates …

Accurate estimation of the parameters characterising infectious disease transmission is vital
for optimising control interventions during epidemics. A valuable metric for assessing the …

For epidemiologists, evolutionary biologists, and health-care professionals, real-time and
predictive modeling of infectious disease is of growing importance. This book provides a …

COVID-19 vaccination is being conducted in over 200 countries and regions to control
SARS-CoV-2 transmission and return to a pre-pandemic lifestyle. However, understanding …

A comprehensive introduction to the role of epidemiology in veterinary medicine This fully
revised and expanded edition of Veterinary Epidemiology introduces readers to the field of …

The pioneering young scientist whose work on the structure of small worlds has triggered an
avalanche of interest in networks. In this remarkable book, Duncan Watts, one of the …

Background A better characterization of the early growth dynamics of an epidemic is needed
to dissect the important drivers of disease transmission, refine existing transmission models …

The term “organocatalysis” describes the acceleration of chemical reactions through the
addition of a substoichiometric quantity of an organic compound. The interest in this field has …