Affiliation: Johns Hopkins University
- Investigating the effect of high spring incidence of pandemic influenza A(H1N1) on early autumn incidenceH Burkom
Johns Hopkins Applied Physics Laboratory, National Security Technology Department, Laurel, MD 20723, USA
Epidemiol Infect 140:2210-22. 2012..These novel methods are applicable to planning and studies involving other infectious diseases...
- Evaluation of sliding baseline methods for spatial estimation for cluster detection in the biosurveillance systemJian Xing
Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
Int J Health Geogr 8:45. 2009..Our study focused on finding useful anomalies at manageable alert rates according to available BioSense data history...
- Pediatric patient asthma-related emergency department visits and admissions in Washington, DC, from 2001-2004, and associations with air quality, socio-economic status and age groupSteven M Babin
Johns Hopkins University, Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723, USA
Environ Health 6:9. 2007....
- Public health monitoring tools for multiple data streamsHoward S Burkom
Johns Hopkins Applied Physics Laboratory, Laurel, Maryland 20723, USA
MMWR Morb Mortal Wkly Rep 54:55-62. 2005..The synthesis of this evidence requires tools to find anomalies within various data stream combinations while maintaining manageable false alarm rates...
- Automated time series forecasting for biosurveillanceHoward S Burkom
The Johns Hopkins University Applied Physics Laboratory, MD, USA
Stat Med 26:4202-18. 2007..We achieved improved predictions with such tuning of the Holt-Winters method, but practical use of such improvements for routine surveillance will require reliable data classification methods...
- Role of data aggregation in biosurveillance detection strategies with applications from ESSENCEHoward S Burkom
Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Mailstop 8 224, Laurel, MD 20723, USA
MMWR Morb Mortal Wkly Rep 53:67-73. 2004..Basic data-aggregation decisions for these systems include determining which records to count and how to group them in space and time...
- An integrated approach for fusion of environmental and human health data for disease surveillanceHoward S Burkom
Johns Hopkins University Applied Physics Laboratory, MD, USA
Stat Med 30:470-9. 2011..Elements of the art of developing networks appropriate to this environment are discussed with examples. Results of applying these networks to a simulated contamination scenario are presented...
- Biosurveillance applying scan statistics with multiple, disparate data sourcesHoward S Burkom
National Security Technology Department, Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723, USA
J Urban Health 80:i57-65. 2003....
- Recombinant temporal aberration detection algorithms for enhanced biosurveillanceSean Patrick Murphy
The Johns Hopkins University Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723, USA
J Am Med Inform Assoc 15:77-86. 2008....
- Recursive least squares background prediction of univariate syndromic surveillance dataAmir Homayoon Najmi
National Security Technology Department, The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723 6099, USA
BMC Med Inform Decis Mak 9:4. 2009..This paper aims to improve the performance of detecting outbreaks by using a background forecasting algorithm based on the adaptive recursive least squares method combined with a novel treatment of the Day of the Week effect...
- A systems overview of the Electronic Surveillance System for the Early Notification of Community-Based Epidemics (ESSENCE II)Joseph Lombardo
The Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA
J Urban Health 80:i32-42. 2003..Integration of nonuniform data is needed to increase sensitivity and thus enable the earliest notification possible. The performance of various detection techniques was compared using results obtained from the ESSENCE II system...
- Development and evaluation of a data-adaptive alerting algorithm for univariate temporal biosurveillance dataYevgeniy Elbert
Applied Physics Laboratory, The Johns Hopkins University, 11100 Johns Hopkins Road, Laurel, MD 20723, USA
Stat Med 28:3226-48. 2009..Results show that both the sensitivity and the timeliness of the Holt-Winters-based algorithm proved to be comparable or superior to that of the more traditional prediction methods used for syndromic surveillance...
- Bayesian information fusion networks for biosurveillance applicationsZaruhi R Mnatsakanyan
The Johns Hopkins University Applied Physics Laboratory JHU APL, 11100 Johns Hopkins Road, Laurel, MD 20723, USA
J Am Med Inform Assoc 16:855-63. 2009..Further research should be done to investigate correlations between data sources for efficient fusion of the collected data...
- Medicaid patient asthma-related acute care visits and their associations with ozone and particulates in Washington, DC, from 1994-2005Steven Babin
Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, USA
Int J Environ Health Res 18:209-21. 2008....
- Syndromic surveillance: adapting innovations to developing settingsJean Paul Chretien
Department of Defense Global Emerging Infections Surveillance and Response System, Silver Spring, Maryland, United States of America
PLoS Med 5:e72. 2008
- BioSense Initiative to Improve Early Outbreak DetectionHoward Burkom; Fiscal Year: 2007..Acceptance of potential of automated surveillance systems will stimulate increased cooperation of health departments, data providers, and policymakers, further improving public health monitoring capability. ..