Model Formulation: HealthMap: Global Infectious Disease Monitoring through Automated Classification and Visualization of Internet Media Reports
By Clark C. Freifeld, Kenneth D. Mandl, Ben Y. Reis, John S. Brownstein. J. Am. Medical Informatics Assoc., 2008
502 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/29b790d98ab9546d602e48dc4e1e7fdac7f716a1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Nan Li
- A. Wattam
- Desheng Dash Wu
- John S. Brownstein
- O. Brady
- T. Disz
- Peter W. Gething
- Philip M. Polgreen
Citations in the corpus
- Using internet searches for influenza surveillance. (2008, background): “However, the relatively new HealthMap site (http://healthmap.org) monitors information from a variety of sources and displays results in real-time on a world map [7].”
- PATRIC, the bacterial bioinformatics database and analysis resource (2013, methodology): “It visualizes these relationships between pathogens, genes and diseases in an interactive graph (Figure 3A) and provides the geolocation reports of associated diseases around the globe in real-time (Figure 3B) via a collaboration with HealthMap (33).”
- Using text mining and sentiment analysis for online forums hotspot detection and forecast (2010, methodology): “…clustering and forecasting of online forum hotspots, we use two machine learning approaches: K-means and SVM. K-means has been studied and applied in a wide range of domains, e.g., bioinformatics [10–12,39], information security [36], pattern recognition [6] [7] [19], text classification [22].”
- Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus (2012, background): “We would also like to thank Susan Aman and Sumiko Mekaru at HealthMap for database support.”
- Surveillance Sans Frontières: Internet-Based Emerging Infectious Disease Intelligence and the HealthMap Project (2008, background): “(A complete technical description of the system may be found elsewhere [23] .) Characterization stages include: (a) identifying disease and location; (b) determining relevance-namely, whether a given report refers to any current outbreak; and (c) grouping similar reports together while removing exac”