Howard Burkom

Summary

Affiliation: Johns Hopkins University
Country: USA

Publications

  1. doi request reprint Investigating the effect of high spring incidence of pandemic influenza A(H1N1) on early autumn incidence
    H Burkom
    Johns Hopkins Applied Physics Laboratory, National Security Technology Department, Laurel, MD 20723, USA
    Epidemiol Infect 140:2210-22. 2012
  2. pmc Evaluation of sliding baseline methods for spatial estimation for cluster detection in the biosurveillance system
    Jian Xing
    Centers for Disease Control and Prevention, 1600 Clifton Road NE, Atlanta, GA 30333, USA
    Int J Health Geogr 8:45. 2009
  3. pmc 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 group
    Steven M Babin
    Johns Hopkins University, Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723, USA
    Environ Health 6:9. 2007
  4. ncbi request reprint Public health monitoring tools for multiple data streams
    Howard S Burkom
    Johns Hopkins Applied Physics Laboratory, Laurel, Maryland 20723, USA
    MMWR Morb Mortal Wkly Rep 54:55-62. 2005
  5. ncbi request reprint Automated time series forecasting for biosurveillance
    Howard S Burkom
    The Johns Hopkins University Applied Physics Laboratory, MD, USA
    Stat Med 26:4202-18. 2007
  6. ncbi request reprint Role of data aggregation in biosurveillance detection strategies with applications from ESSENCE
    Howard 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
  7. doi request reprint An integrated approach for fusion of environmental and human health data for disease surveillance
    Howard S Burkom
    Johns Hopkins University Applied Physics Laboratory, MD, USA
    Stat Med 30:470-9. 2011
  8. pmc Biosurveillance applying scan statistics with multiple, disparate data sources
    Howard 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
  9. pmc Recombinant temporal aberration detection algorithms for enhanced biosurveillance
    Sean 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
  10. pmc Recursive least squares background prediction of univariate syndromic surveillance data
    Amir 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

Research Grants

Collaborators

Detail Information

Publications15

  1. doi request reprint Investigating the effect of high spring incidence of pandemic influenza A(H1N1) on early autumn incidence
    H 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...
  2. pmc Evaluation of sliding baseline methods for spatial estimation for cluster detection in the biosurveillance system
    Jian 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...
  3. pmc 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 group
    Steven M Babin
    Johns Hopkins University, Applied Physics Laboratory, 11100 Johns Hopkins Road, Laurel, MD 20723, USA
    Environ Health 6:9. 2007
    ....
  4. ncbi request reprint Public health monitoring tools for multiple data streams
    Howard 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...
  5. ncbi request reprint Automated time series forecasting for biosurveillance
    Howard 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...
  6. ncbi request reprint Role of data aggregation in biosurveillance detection strategies with applications from ESSENCE
    Howard 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...
  7. doi request reprint An integrated approach for fusion of environmental and human health data for disease surveillance
    Howard 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...
  8. pmc Biosurveillance applying scan statistics with multiple, disparate data sources
    Howard 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
    ....
  9. pmc Recombinant temporal aberration detection algorithms for enhanced biosurveillance
    Sean 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
    ....
  10. pmc Recursive least squares background prediction of univariate syndromic surveillance data
    Amir 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...
  11. pmc 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...
  12. doi request reprint Development and evaluation of a data-adaptive alerting algorithm for univariate temporal biosurveillance data
    Yevgeniy 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...
  13. pmc Bayesian information fusion networks for biosurveillance applications
    Zaruhi 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...
  14. ncbi request reprint Medicaid patient asthma-related acute care visits and their associations with ozone and particulates in Washington, DC, from 1994-2005
    Steven Babin
    Johns Hopkins University Applied Physics Laboratory, Laurel, Maryland, USA
    Int J Environ Health Res 18:209-21. 2008
    ....
  15. pmc Syndromic surveillance: adapting innovations to developing settings
    Jean Paul Chretien
    Department of Defense Global Emerging Infections Surveillance and Response System, Silver Spring, Maryland, United States of America
    PLoS Med 5:e72. 2008

Research Grants2

  1. BioSense Initiative to Improve Early Outbreak Detection
    Howard Burkom; Fiscal Year: 2006
    ..Acceptance of potential of automated surveillance systems will stimulate increased cooperation of health departments, data providers, and policymakers, further improving public health monitoring capability. ..
  2. BioSense Initiative to Improve Early Outbreak Detection
    Howard 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. ..