H
Howard Burkom
Researcher at Johns Hopkins University Applied Physics Laboratory
Publications - 82
Citations - 2090
Howard Burkom is an academic researcher from Johns Hopkins University Applied Physics Laboratory. The author has contributed to research in topics: Public health surveillance & Public health. The author has an hindex of 22, co-authored 81 publications receiving 1949 citations. Previous affiliations of Howard Burkom include International Society for Disease Surveillance.
Papers
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Journal ArticleDOI
Algorithms for rapid outbreak detection: a research synthesis
TL;DR: The results suggest that use of spatial and other covariate information can improve outbreak detection performance, and methodological challenges that limited the ability to determine the benefit of using outbreak detection algorithms that operate on large volumes of data are identified.
Journal ArticleDOI
Statistical Challenges Facing Early Outbreak Detection in Biosurveillance
Galit Shmueli,Howard Burkom +1 more
TL;DR: This work focuses mainly on the monitoring of time series to provide early alerts of anomalies to stimulate investigation of potential outbreaks, with a brief summary of methods to detect significant spatial and spatiotemporal case clusters.
Journal Article
Statistical challenges facing early outbreak detection in biosurveillance
Galit Shmueli,Howard Burkom +1 more
TL;DR: In this paper, the authors focus on the monitoring of time series to provide early alerts of anomalies to stimulate investigation of potential outbreaks, with a brief summary of methods to detect significant spatial and spatio-temporal case clusters.
Journal ArticleDOI
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,Howard Burkom,Rekha Holtry,Nathaniel R. Tabernero,Lynette Stokes,John O. Davies-Cole,Kerda DeHaan,Deitra H Lee +7 more
TL;DR: Real increases in relative risk of asthma ED visits for children living in higher poverty zip codes versus other zip codes are observed, as well as similar logarithmic relationships for visits and admissions, which implies ED over-utilization may not be a factor.
Posted Content
Automated Time Series Forecasting for Biosurveillance
Howard Burkom,Sean Murphy +1 more
TL;DR: Improved predictions are achieved with such tuning of the Holt-Winters method, but practical use of such improvements for routine surveillance will require reliable data classification methods.