Seasonal influenza epidemics offer unique opportunities to study the invasion and re-
invasion waves of a pathogen in a partially immune population. Detailed patterns of spread …

The availability of geocoded health data and the inherent temporal structure of
communicable diseases have led to an increased interest in statistical models and software …

Power-law models for infectious disease spread Page 1 The Annals of Applied Statistics 2014,
Vol. 8, No. 3, 1612–1639 DOI: 10.1214/14-AOAS743 © Institute of Mathematical Statistics, 2014 …

Mixing matrices are included in infectious disease models to reflect transmission
opportunities between population strata. These matrices were originally constructed on the …

Routine public health surveillance of notifiable infectious diseases gives rise to weekly
counts of reported cases—possibly stratified by region and/or age group. We investigate …

This chapter looks at the basic concepts from the viewpoint of identifying the key
epidemiological parameters to understand the spread of infectious diseases. The …

We extend an interesting class of space–time models for infectious disease data proposed
by Held and co-workers, to analyse data on hand, foot and mouth disease, collected in the …

Spatial dependence is usually introduced into spatial models using some measure of
physical proximity. When analysing COVID-19 case counts, this makes sense as regions …

Accurate forecasts of influenza incidence can be used to inform medical and public health
decision-making and response efforts. However, forecasting systems are uncommon in most …

Abstract Background The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) has rapidly spread over the world and caused tremendous impacts on global health …