Background Real-time surveillance in the field of health informatics has emerged as a
growing domain of interest among worldwide researchers. Evolution in this field has helped …

Background Communicable diseases pose a severe threat to public health and economic
growth. The traditional methods that are used for public health surveillance, however …

Abstract Nowadays, Artificial intelligence (AI), combined with the digitalization of healthcare,
can lead to substantial improvements in Patient Care, Disease Management, Hospital …

Background Changeful seasonal influenza activity in subtropical areas such as Taiwan
causes problems in epidemic preparedness. The Taiwan Centers for Disease Control has …

Emerging and re-emerging pathogens exhibit very complex dynamics, are hard to model
and difficult to predict. Their dynamics might appear intractable. However, new statistical …

Modern data and computational resources, coupled with algorithmic and theoretical
advances to exploit these, allow disease dynamic models to be parameterised with …

Dengue and influenza-like illness (ILI) are two of the leading causes of viral infection in the
world and it is estimated that more than half the world's population is at risk for developing …

Infectious disease prevention, control and forecasting rely on sentinel observations;
however, many locations lack the capacity for routine surveillance. Here we show that, by …

Prediction and control of emerging pathogens is a fundamental challenge for public health.
To meet this challenge, new analytic tools are needed to characterize the underlying …

Objectives: To introduce and summarize current research in the field of Public Health and
Epidemiology Informatics. Methods: The 2018 literature concerning public health and …