Y. Elbert

发表

Role of data aggregation in biosurveillance detection strategies with applications from ESSENCE.

H. Burkom, Y. Elbert, A. Feldman, 2004, MMWR supplements.

Disease outbreak detection system using syndromic data in the greater Washington DC area.

Y. Elbert, J. Pavlin, Michael D. Lewis, 2002, American journal of preventive medicine.

Prediction of High Incidence of Dengue in the Philippines

Phillip T. Koshute, Y. Elbert, A. Buczak, 2014, PLoS neglected tropical diseases.

Tweeting Fever: Can Twitter Be Used to Monitor the Incidence of Dengue-Like Illness in the Philippines?

Clayton Fink, Yevgeniy Elbert, Jacqueline S. Coberly, 2014 .

Developments in the roles, features, and evaluation of alerting algorithms for disease outbreak monitoring

Howard Burkom, Yevgeniy Elbert, William Peter, 2008 .

Department of Defense West Nile virus surveillance in 2002.

Y. Elbert, P. Kelley, Kenneth Cox, 2004, Military medicine.

International Society for Disease Surveillance Conference 2011: Building the Future of Public Health Surveillance

Roman Garnett, Ricardo H. C. Takahashi, Rumi Chunara, 2011, Emerging health threats journal.

Investigating the effect of high spring incidence of pandemic influenza A(H1N1) on early autumn incidence

L. Brammer, D. Swerdlow, L. Finelli, 2012, Epidemiology and Infection.

Usefulness of Syndromic Data Sources for Investigating Morbidity Resulting From a Severe Weather Event

A. Baer, J. Duchin, H. Burkom, 2011, Disaster Medicine and Public Health Preparedness.

Syndromic Surveillance System for Korea-US Joint Biosurveillance Portal: Design and Lessons Learned.

H. Burkom, Y. Elbert, Sangwoo Tak, 2016, Health security.

Fuzzy association rule mining and classification for the prediction of malaria in South Korea

Yevgeniy Elbert, Erhan Guven, Anna L. Buczak, 2015, BMC Medical Informatics and Decision Making.

A Scalable Data Mining Approach for Providing Public Health with Disease Incidence Predictions Weeks in Advance

Erin N. Hahn, Y. Elbert, J. Coberly, 2014 .