Influenza-like illness (ILI) places a heavy social and economic burden on our society.
Traditionally, ILI surveillance data are updated weekly and provided at a spatially coarse …

Influenza epidemic is a serious threat to the entire world, which causes thousands of death
every year and can be considered as a public health emergency that needs to be more …

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 …

In this study, we propose a novel approach that integrates regime-shift detection with a
mechanistic model to forecast the peak times of seasonal influenza. The key benefit of this …

Syndromic surveillance was originally developed to provide early warning compared to
laboratory surveillance, but it is increasing used for real-time situational awareness. When a …

This chapter covers the most recent trend on combining theory-based mechanistic methods
and data-driven methods for epidemic forecasting. It starts with a formal definition of an …

Influenza incidence forecasting is used to facilitate better health system planning and could
potentially be used to allow at-risk individuals to modify their behavior during a severe …

Influenza causes substantial morbidity and mortality yearly in both temperate and tropical
regions, as well as sporadic and potentially severe pandemics. Although vaccines for …

Every year the worldwide influenza infection places a substantial burden on people's health.
Most past studies just focused on a” single-step” prediction of” regional” influenza outbreaks …