Research Topics
| J S BrownsteinSummaryAffiliation: Harvard University Country: USA Publications
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Detail Information
Publications
Measuring the impact of health policies using Internet search patterns: the case of abortionBen Y Reis
Children s Hospital Informatics Program, Harvard MIT Division of Health Sciences and Technology, Children s Hospital Boston, Harvard Medical School, Boston, MA, USA
BMC Public Health 10:514. 2010..We propose that these data can also be used more broadly to study the impact of health policies across different regions in a more efficient and timely manner...- The tell-tale heart: population-based surveillance reveals an association of rofecoxib and celecoxib with myocardial infarctionJohn S Brownstein
Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, Boston, Massachusetts, United States of America
PLoS ONE 2:e840. 2007..COX-2 selective inhibitors are associated with myocardial infarction (MI). We sought to determine whether population health monitoring would have revealed the effect of COX-2 inhibitors on population-level patterns of MI... - An unsupervised classification method for inferring original case locations from low-resolution disease mapsJohn S Brownstein
Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, 1 Autumn St, Boston, MA, USA
Int J Health Geogr 5:56. 2006..In this report, a method is presented to evaluate whether patient privacy is being breached in the publication of low-resolution disease maps... - Pediatric population size is associated with geographic patterns of acute respiratory infections among adultsJohn S Brownstein
Division of Emergency Medicine, Children s Hospital Boston Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, Boston, MA 02215, USA
Ann Emerg Med 52:63-8. 2008..We measure the association between proportion of children and specific pediatric age groups in a local population with the timing and rate of adult emergency department (ED) utilization for influenza and other acute respiratory infections... - Empirical evidence for the effect of airline travel on inter-regional influenza spread in the United StatesJohn S Brownstein
Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, Boston, Massachusetts, USA
PLoS Med 3:e401. 2006..Here, we assess, with empirical data, the role of airline volume on the yearly inter-regional spread of influenza in the United States... - Surveillance Sans Frontières: Internet-based emerging infectious disease intelligence and the HealthMap projectJohn S Brownstein
Children's Hospital Informatics Program at the Harvard-MIT Division of Health Sciences and Technology, Boston, Massachusetts, United States of America
PLoS Med 5:e151. 2008 - Identifying pediatric age groups for influenza vaccination using a real-time regional surveillance systemJohn S Brownstein
Division of Emergency Medicine, Children s Hospital Boston, Harvard Medical School, Boston, MA 02215, USA
Am J Epidemiol 162:686-93. 2005..001). Study findings add to a growing body of support for a strategy to vaccinate children older than the currently targeted age of 6-23 months and specifically suggest that there may be value in vaccinating preschool-age children... - Rapid identification of myocardial infarction risk associated with diabetes medications using electronic medical recordsJohn S Brownstein
Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, Boston, Massachusetts, USA
Diabetes Care 33:526-31. 2010..Our use of usual care electronic data sources from a large hospital network represents an innovative approach to rapid safety signal detection that may enable more effective postmarketing drug surveillance... 
HealthMap: the development of automated real-time internet surveillance for epidemic intelligenceJ S Brownstein
Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, Boston, Massachusetts, United States
Euro Surveill 12:E071129.5. 2007....
Effect of environmental factors on the spatio-temporal patterns of influenza spreadK M L Charland
Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, Boston, MA, USA
Epidemiol Infect 137:1377-87. 2009..027 to -0.0032). Future studies may elucidate biological mechanisms intrinsically linked to solar radiation that contribute to epidemic timing in temperate regions...- Use of unstructured event-based reports for global infectious disease surveillanceMikaela Keller
Harvard Massachusetts Institute of Technology Division of Health Sciences and Technology, Boston, USA
Emerg Infect Dis 15:689-95. 2009..Such development would further establish event-based monitoring as an invaluable public health resource that provides critical context and an alternative to traditional indicator-based outbreak reporting... - Automated vocabulary discovery for geo-parsing online epidemic intelligenceMikaela Keller
Children s Hospital Informatics Program at the Harvard MIT Division of Health Sciences and Technology, 300 Longwood Ave, Boston, MA 02115, USA
BMC Bioinformatics 10:385. 2009..This task is sometimes referred to as "geo-parsing". A typical approach to geo-parsing would demand an expensive training corpus of alerts manually tagged by a human... - Evaluation of influenza prevention in the workplace using a personally controlled health record: randomized controlled trialFlorence T Bourgeois
Division of Emergency Medicine, Children s Hospital Boston, 300 Longwood Avenue, Boston, MA 02115, USA
J Med Internet Res 10:e5. 2008..Health promotion programs using PCHRs can potentially be used in a variety of settings and target a large range of health issues... - HealthMap: global infectious disease monitoring through automated classification and visualization of Internet media reportsClark C Freifeld
Children s Hospital Informatics Program, Harvard MIT Division of Health Sciences and Technology, 300 Longwood Ave, Boston, MA 02115, USA
J Am Med Inform Assoc 15:150-7. 2008..Our objective is to address this challenge through the HealthMap.org Web application, an automated system for querying, filtering, integrating and visualizing unstructured reports on disease outbreaks... - Integrating spatial epidemiology into a decision model for evaluation of facial palsy in childrenAndrew M Fine
Division of Emergency Medicine, Children s Hospital Boston, Boston, MA 02115, USA
Arch Pediatr Adolesc Med 165:61-7. 2011..To develop a novel diagnostic algorithm for Lyme disease among children with facial palsy by integrating public health surveillance data with traditional clinical predictors... - Forest fragmentation predicts local scale heterogeneity of Lyme disease riskJohn S Brownstein
Department of Epidemiology and Public Health, Yale School of Medicine, 60 College Street, New Haven, CT 06520 8034, USA
Oecologia 146:469-75. 2005..A complete understanding of the influence of landscape fragmentation will allow for improved risk mapping and potential environmental management of Lyme disease... - Validation of syndromic surveillance for respiratory infectionsFlorence T Bourgeois
Division of Emergency Medicine, Children s Hospital Boston, Boston, MA 02115, USA
Ann Emerg Med 47:265.e1. 2006..This study measures the value of respiratory data currently used in syndromic surveillance systems to detect respiratory infections by comparing it against criterion standard viral testing within a pediatric population... - Lumbar puncture ordering and results in the pediatric population: a promising data source for surveillance systemsAmir Kimia
Division of Emergency Medicine, Children s Hospital Boston, Boston, MA 02115, USA
Acad Emerg Med 13:767-73. 2006..When normal patterns of laboratory test orders and results are modeled, aberrations can be detected. Because many test orders are available electronically well before results, atypical patterns of test ordering may signal outbreaks... - The new International Health Regulations: considerations for global public health surveillanceJessica L Sturtevant
Harvard School of Public Health and the Children s Hospital Informatics Program CHIP at the Harvard MIT Division of Health Sciences and Technology, MA, USA
Disaster Med Public Health Prep 1:117-21. 2007..The authors review some practical challenges such as inadequate surveillance and reporting infrastructure, and legal enforcement and maintenance of individual human rights... - Evidence-based tool for triggering school closures during influenza outbreaks, JapanAsami Sasaki
Harvard School of Public Health, Boston, Massachusetts, USA
Emerg Infect Dis 15:1841-3. 2009..Using empirical data on absentee rates of elementary school students in Japan, we developed a simple and practical algorithm for determining the optimal timing of school closures for control of influenza outbreaks... - Automated real time constant-specificity surveillance for disease outbreaksShannon C Wieland
Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139 4307, USA
BMC Med Inform Decis Mak 7:15. 2007..The usefulness of outbreak detection strategies depends on their specificity; the false alarm rate affects the interpretation of alarms... - Running outside the baseline: impact of the 2004 Major League Baseball postseason on emergency department useBen Y Reis
Ann Emerg Med 46:386-7. 2005 - Interaction and transmission of two Borrelia burgdorferi sensu stricto strains in a tick-rodent maintenance systemMarketa Derdakova
Vector Ecology Laboratory, Department of Epidemiology and Public Health, Yale School of Medicine, New Haven, Connecticut 06520 8034, USA
Appl Environ Microbiol 70:6783-8. 2004..Other strains, such as B348, may be more effectively maintained in different tick-vertebrate transmission cycles... - A climate-based model predicts the spatial distribution of the Lyme disease vector Ixodes scapularis in the United StatesJohn S Brownstein
Department of Epidemiology and Public Health, Yale School of Medicine, New Haven, Connecticut 06520-8034, USA
Environ Health Perspect 111:1152-7. 2003..scapularis across the United States... - No place to hide--reverse identification of patients from published mapsJohn S Brownstein
N Engl J Med 355:1741-2. 2006 - Density-equalizing Euclidean minimum spanning trees for the detection of all disease cluster shapesShannon C Wieland
Department of Mathematics, Massachusetts Institute of Technology, Cambridge, MA 02139 4307, USA
Proc Natl Acad Sci U S A 104:9404-9. 2007..Sensitivity and accuracy comparisons with the prevailing cluster detection method show that the method performs similarly on approximately circular historical clusters and greatly improves detection for noncircular clusters... - Enhancing West Nile virus surveillance, United StatesJohn S Brownstein
Yale University School of Medicine, New Haven, Connecticut 06520, USA
Emerg Infect Dis 10:1129-33. 2004..We also demonstrate that mosquito surveillance is a more accurate predictor of human risk than monitoring dead and infected wild birds...