New technologies in predicting, preventing and controlling emerging infectious diseases

Figures & data

Table 1. Table summarizes the effective technologies and resources presented in the article which are being used a national or international level for the prediction, detection and control of emerging infectious disease threats. Examples of each resource are also given as well as their main applications

Technologies/Resources	Example	Application
Event-Based Surveillance	GPHIN, ProMED-mail, HealthMap, EpiSPIDER, BioCaster	Outbreak and emerging public health threat detection (i.e., SARS)
Web-based real-time Surveillance	Google Trends, Google Flu Trends	Real-time monitoring of disease activity (i.e. seasonal influenza activity)
Early Warning and Alert Response Networks	GOARN	Detection of public health threats Communication between institutions, Implementation of preventive and control measures (i.e., WHO Global Alert and Response)
Infectious Diseases Modeling	Agent-based models, Metapopulation models (GLEAM, FRED, gravity model)	Epidemic simulation Assessment of disease spread determinants, Design of containment interventions
Social Media	Foodborne Chicago, Flu NearYou	Participatory epidemiology (i.e. foodborne illnesses, seasonal influenza activity)
New technologies in Pathogen Discovery	Genome Wide Sequencing, Microarrays, Bioinformatics	Pathogen/Virus discovery Wildlife sampling and surveillance, Predictive modeling, Determinants of host susceptibility, Animal models