Research Topics
| Martin KulldorffSummaryAffiliation: Harvard University Country: USA Publications
Research Grants
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Detail Information
Publications
A flexibly shaped space-time scan statistic for disease outbreak detection and monitoringKunihiko Takahashi
Department of Technology Assessment and Biostatistics, National Institute of Public Health, Japan
Int J Health Geogr 7:14. 2008..In particular, some spatial scan statistics are aimed at detecting irregularly shaped clusters which may not be detected by the circular spatial scan statistic...- Spatial and temporal patterns of enzootic raccoon rabies adjusted for multiple covariatesSergio Recuenco
School of Public Health, University at Albany SUNY, Rensselaer, New York, USA
Int J Health Geogr 6:14. 2007..Adjustments were intended to identify the unusual aggregations of cases given the expected distribution based on the observed locations... - Multivariate scan statistics for disease surveillanceMartin Kulldorff
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA
Stat Med 26:1824-33. 2007..The strongest signal was generated by a single data set and due to a familial outbreak of pinworm disease. The second and third strongest signals were generated by the combined strength of two of the three data sets... - An elliptic spatial scan statisticMartin Kulldorff
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA
Stat Med 25:3929-43. 2006..The method is applied to breast cancer mortality data from Northeastern United States and female oral cancer mortality in the United States. Power comparisons are made with the circular scan statistic... - A scan statistic for continuous data based on the normal probability modelMartin Kulldorff
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
Int J Health Geogr 8:58. 2009..It may also be used for other distributions, while still maintaining the correct alpha level. In an application of the new method, we look for geographical clusters of low birth weight in New York City... - A space-time permutation scan statistic for disease outbreak detectionMartin Kulldorff
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA
PLoS Med 2:e59. 2005.... - Benchmark data and power calculations for evaluating disease outbreak detection methodsMartin Kulldorff
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Avenue, 6th Floor, Boston, MA 02215, USA
MMWR Morb Mortal Wkly Rep 53:144-51. 2004..Space-time disease-surveillance methods have been proposed as a supplement to purely temporal statistical methods for outbreak detection to detect localized outbreaks before they spread to larger regions... - Cancer map patterns: are they random or not?Martin Kulldorff
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts 02215, USA
Am J Prev Med 30:S37-49. 2006.... - Early adverse drug event signal detection within population-based health networks using sequential methods: key methodologic considerationsJeffrey S Brown
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
Pharmacoepidemiol Drug Saf 18:226-34. 2009..Our objective was to expand our previous signal detection work by investigating the effect on signal detection of alternative study specifications... - Near real-time vaccine safety surveillance with partially accrued dataSharon K Greene
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
Pharmacoepidemiol Drug Saf 20:583-90. 2011..We describe practical solutions to these challenges, which were adopted by the VSD Project during pandemic and seasonal influenza vaccine safety surveillance in 2009/2010... - A conditional maximized sequential probability ratio test for pharmacovigilanceLingling Li
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 133 Brookline Ave, 6th Floor, Boston, MA 02215, USA
Stat Med 29:284-95. 2010..Our test incorporates the randomness and variability from both the historical data and the surveillance population. Evaluations of the statistical power for CMaxSPRT are presented under different scenarios... - Active surveillance for adverse events: the experience of the Vaccine Safety Datalink projectW Katherine Yih
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 133 Brookline Ave, Boston, MA 02215, USA
Pediatrics 127:S54-64. 2011..To describe the Vaccine Safety Datalink (VSD) project's experience with population-based, active surveillance for vaccine safety and draw lessons that may be useful for similar efforts... - Timely detection of localized excess influenza activity in Northern California across patient care, prescription, and laboratory dataSharon K Greene
Department of Population Medicine, Harvard Pilgrim Health Care Institute, Boston, MA, USA
Stat Med 30:549-59. 2011..Although limited to one health plan, location, and year, these results can inform the choice of data streams for public health surveillance of influenza... - H1N1 and seasonal influenza vaccine safety in the vaccine safety datalink projectGrace M Lee
Center for Child Health Care Studies, Department of Population Medicine, Children s Hospital Boston, Boston, Massachusetts, USA
Am J Prev Med 41:121-8. 2011..A robust influenza immunization program in the U.S. requires ongoing monitoring of potential adverse events associated with vaccination... - Evaluating spatial surveillance: detection of known outbreaks in real dataKen Kleinman
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, USA
Stat Med 25:755-69. 2006..They can be used to assess whether the new system works in that it detects the outbreaks better than chance would suggest and can also determine if the new systems' signals are generated earlier than an extant system... - Evaluating real-time syndromic surveillance signals from ambulatory care data in four statesW Katherine Yih
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, 133 Brookline Ave, 6th Floor, Boston, MA 02215, USA
Public Health Rep 125:111-20. 2010..We evaluated a real-time ambulatory care-based syndromic surveillance system in four metropolitan areas of the United States... - Evaluation of the performance of tests for spatial randomness on prostate cancer dataVirginia L Hinrichsen
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
Int J Health Geogr 8:41. 2009..We chose 3 spatial clustering tests that are commonly used to evaluate the geographic distribution of disease: Cuzick-Edwards' k-NN (k-Nearest Neighbors) test, Moran's I and Tango's MEET (Maximized Excess Events Test)... - Active influenza vaccine safety surveillance: potential within a healthcare claims environmentJeffrey S Brown
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
Med Care 47:1251-7. 2009..Rapid safety assessment of novel vaccines, especially those targeted against pandemic influenza, is a public health priority... - Near real-time surveillance for influenza vaccine safety: proof-of-concept in the Vaccine Safety Datalink ProjectSharon K Greene
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Healthcare Institute, 133 Brookline Avenue, Boston, MA 02215 3920, USA
Am J Epidemiol 171:177-88. 2010..Near real-time surveillance for selected adverse events can be implemented prospectively to rapidly assess seasonal and pandemic influenza vaccine safety... - Herpes zoster and postherpetic neuralgia surveillance using structured electronic dataMichael Klompas
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA 02215, USA
Mayo Clin Proc 86:1146-53. 2011..To develop electronic algorithms for rapid, automated surveillance for herpes zoster and postherpetic neuralgia (PHN) using codified electronic health data... - Gumbel based p-value approximations for spatial scan statisticsAllyson M Abrams
Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, USA
Int J Health Geogr 9:61. 2010..A drawback to this powerful technique is that each additional digit of p-value precision requires ten times as many replicated datasets, and the additional processing can lead to excessive run times... - A spatial scan statistic for ordinal dataInkyung Jung
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, 133 Brookline Ave 6th Floor, Boston, MA 02215, USA
Stat Med 26:1594-607. 2007..The proposed method is illustrated using prostate cancer grade and stage data from the Maryland Cancer Registry. The statistical power, sensitivity and positive predicted value of the test are examined through a simulation study... - Early detection of adverse drug events within population-based health networks: application of sequential testing methodsJeffrey S Brown
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA, USA
Pharmacoepidemiol Drug Saf 16:1275-84. 2007.... - Telephone triage service data for detection of influenza-like illnessW Katherine Yih
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA, USA
PLoS ONE 4:e5260. 2009..Nontraditional sources of data for influenza and ILI surveillance are of interest to public health authorities if their validity can be established... - Risk of misleading ventilator-associated pneumonia rates with use of standard clinical and microbiological criteriaMichael Klompas
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
Clin Infect Dis 46:1443-6. 2008..The addition of microbiological criteria to standard clinical criteria decreased the range of apparent VAP to 3.5%-15.5%. These wide margins of variability suggest that VAP rates are an unreliable measure of quality of care... - Real-time vaccine safety surveillance for the early detection of adverse eventsTracy A Lieu
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, Massachusetts, USA
Med Care 45:S89-95. 2007..Sequential testing procedures are needed to detect vaccine or drug safety problems as soon as possible after introduction... - An assessment of the safety of adolescent and adult tetanus-diphtheria-acellular pertussis (Tdap) vaccine, using active surveillance for adverse events in the Vaccine Safety DatalinkW Katherine Yih
Department of Ambulatory Care and Prevention, Harvard Medical School and Harvard Pilgrim Health Care, Boston, MA 02215, USA
Vaccine 27:4257-62. 2009..5-2 for the other outcomes. This study provides reassurance that Tdap is similar in safety to Td regarding the outcomes studied and supports the viability of sequential analysis for post-licensure vaccine safety monitoring... - Geographic differences in invasive and in situ breast cancer incidence according to precise geographic coordinates, Connecticut, 1991-95David I Gregorio
Department of Community Medicine and Health Care, University of Connecticut School of Medicine, Farmington, CT 06030 6205, USA
Int J Cancer 100:194-8. 2002..Such information may enable public health officials to target additional resources for promoting breast cancer screening to specific locations... - Syndromic surveillance in public health practice, New York CityRichard Heffernan
Bureau of Communicable Disease, New York City Department of Health and Mental Hygiene, New York, New York 10013, USA
Emerg Infect Dis 10:858-64. 2004..Eighty-three percent of the signals for diarrhea and 88% of the signals for vomiting occurred during periods of suspected norovirus and rotavirus transmission... - A spatial scan statistic for survival dataLan Huang
Statistical Research and Applications Branch, Division of Cancer Control and Population Sciences, National Cancer Institute Contractor, 6116 Executive Boulevard, Rockville, Maryland 20852, USA
Biometrics 63:109-18. 2007..We also present a method to adjust the analysis for covariates. The cluster detection method is illustrated using survival data for men diagnosed with prostate cancer in Connecticut from 1984 to 1995... - Issues in applied statistics for public health bioterrorism surveillance using multiple data streams: research needsHenry Rolka
Centers for Disease Control and Prevention CDC, Division of Emergency Preparedness and Response, National Center for Public Health Informatics, 1600 Clifton Rd, NE MS D45, Atlanta, GA 30333, USA
Stat Med 26:1834-56. 2007..There are references to research issues throughout the sections with a summarization at the end, which also includes items previously unmentioned in the report... - Simulated anthrax attacks and syndromic surveillanceJames D Nordin
HealthPartners Research Foundation, Minneapolis, Minnesota 55440 1524, USA
Emerg Infect Dis 11:1394-8. 2005..Timeliness and completeness of detection of events varied by rate of infection. First detection of events ranged from days 3 to 6. Similar modeling may be possible with other surveillance systems and should be a part of their evaluation... - A geographic analysis of prostate cancer mortality in the United States, 1970-89Ahmedin Jemal
Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
Int J Cancer 101:168-74. 2002.... - Dead bird clusters as an early warning system for West Nile virus activityFarzad Mostashari
New York City Department of Health and Mental Hygiene, New York 10013, USA
Emerg Infect Dis 9:641-6. 2003..This adaptation of the scan statistic could also be useful in other infectious disease surveillance systems, including those for bioterrorism... - A tree-based scan statistic for database disease surveillanceMartin Kulldorff
Division of Epidemiology and Biostatistics, School of Medicine, and Department of Statistics, University of Connecticut, USA
Biometrics 59:323-31. 2003..The method is illustrated using data from the National Center for Health Statistics Multiple Cause of Death Database, looking at the relationship between occupation and death from silicosis... - Missing stage and grade in Maryland prostate cancer surveillance data, 1992-1997Ann C Klassen
Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA
Am J Prev Med 30:S77-87. 2006..Two clinical elements often missing in surveillance data are histologic grade and stage of disease. Missing data are either not clinically ascertained or not successfully abstracted... - Retrospective evaluation and adjustment of dual energy X-ray absorptiometry measurements for bone mineral density research studiesZixing Fang
Brain Research Laboratories, Department of Psychiatry, New York University School of Medicine, New York, New York 10016, USA
J Clin Densitom 5:421-33. 2002..Results were consistent for both phantoms, with a gradual trend and a sudden jump, as well as a seasonal fluctuation term... - A space-time cluster of adverse events associated with canine rabies vaccineGeorge E Moore
Department of Veterinary Pathobiology, School of Veterinary Medicine, Purdue University, West Lafayette, IN 47907 2027, USA
Vaccine 23:5557-62. 2005..85%) from November 2002 through February 2003. This percentage of adverse events was significantly increased after adjustment for host-related factors and the number of concurrent vaccinations... - Geographic distribution of prostate cancer incidence in the era of PSA testing, Connecticut, 1984 to 1998David I Gregorio
Department of Community Medicine and Health Care, University of Connecticut School of Medicine, Farmington, Connecticut 06030-6205, USA
Urology 63:78-82. 2004..By 1994 to 1998, a significant rate variation was noted for 10 locations around Connecticut. CONCLUSIONS: The observed geographic variation of incidence rates may reflect differing opportunities to uncover latent cases at given locales... - Geographic prediction of human onset of West Nile virus using dead crow clusters: an evaluation of year 2002 data in New York StateGlen D Johnson
Zoonoses Program, New York State Department of Health, Albany, NY 12237, USA
Am J Epidemiol 163:171-80. 2006..Weaker, but positive associations were found for towns associated with a cluster in just the 1-2 prior weeks, indicating an ability to predict onset in a timely fashion... - Likelihood based tests for spatial randomnessChanghong Song
Department of Statistics, University of Connecticut, Storrs, CT 06269, USA
Stat Med 25:825-39. 2006..The power of these tests is evaluated using simulated data set and compared with existing methods... - Geographically based investigation of prostate cancer mortality in four U.S. Northern Plain statesJennifer A Rusiecki
Occupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
Am J Prev Med 30:S101-8. 2006..S. Northern Plains states. The purpose of this study was to investigate possible contributing factors, especially whether there was any association with crop patterns... - Place of residence effect on likelihood of surviving prostate cancerDavid I Gregorio
Department of Community Medicine and Health Care, University of Connecticut School of Medicine, Farmington, CT 06030 6205, USA
Ann Epidemiol 17:520-4. 2007..To examine geographic variation in survival time of men diagnosed with prostate cancer, adjusted for patient and disease characteristics... - Factors associated with endemic raccoon (Procyon lotor) rabies in terrestrial mammals in New York State, USASergio Recuenco
School of Public Health, University at Albany SUNY, Rensselaer, NY 12144, USA
Prev Vet Med 86:30-42. 2008..The model may be used in prioritizing areas for rabies control based on differential risk, including use of costly intervention methods such as oral rabies vaccine...
Research Grants
- SaTScan: Spatial Scan Statistic Surveillance SoftwareMartin Kulldorff; Fiscal Year: 2007..In this project, we propose to further develop and maintain the SaTScan software to fulfill many of these needs. ..
- Tests for Spatial Randomness in Cancer MapsMartin Kulldorff; Fiscal Year: 2005..abstract_text> ..
- Tests for Spatial Randomness in Cancer MapsMartin Kulldorff; Fiscal Year: 2003..abstract_text> ..
- Data Evaluation for Early Disease Outbreak DetectionKenneth Kleinman; Fiscal Year: 2007..abstract_text> ..