Now showing items 1-20 of 21

    • Biochemical Phenotypes to Discriminate Microbial Subpopulations and Improve Outbreak Detection 

      Galar, Alicia; Kulldorff, Martin; Rudnick, Wallis; O'Brien, Thomas F.; Stelling, John (Public Library of Science, 2013)
      Background: Clinical microbiology laboratories worldwide constitute an invaluable resource for monitoring emerging threats and the spread of antimicrobial resistance. We studied the growing number of biochemical tests ...
    • Drug Adverse Event Detection in Health Plan Data Using the Gamma Poisson Shrinker and Comparison to the Tree-based Scan Statistic 

      Brown, Jeffrey S.; Petronis, Kenneth R.; Bate, Andrew; Zhang, Fang; Dashevsky, Inna; Kulldorff, Martin; Avery, Taliser R.; Davis, Robert L.; Chan, K. Arnold; Andrade, Susan E.; Boudreau, Denise; Gunter, Margaret J.; Herrinton, Lisa; Pawloski, Pamala A.; Raebel, Marsha A.; Roblin, Douglas; Smith, David; Reynolds, Robert (MDPI, 2013)
      Background: Drug adverse event (AE) signal detection using the Gamma Poisson Shrinker (GPS) is commonly applied in spontaneous reporting. AE signal detection using large observational health plan databases can expand ...
    • Evaluation of the performance of tests for spatial randomness on prostate cancer data 

      Hinrichsen, Virginia L; Klassen, Ann C.; Song, Changhong; Kulldorff, Martin (BioMed Central, 2009)
      Background: Spatial global clustering tests can be used to evaluate the geographical distribution of health outcomes. The power of several of these tests has been evaluated and compared using simulated data, but their ...
    • A Flexibly Shaped Space-time Scan Statistic for Disease Outbreak Detection and Monitoring 

      Takahashi, Kunihiko; Kulldorff, Martin; Tango, Toshiro; Yih, Katherine Katherine (BioMed Central, 2008)
      Background: Early detection of disease outbreaks enables public health officials to implement disease control and prevention measures at the earliest possible time. A time periodic geographical disease surveillance system ...
    • The Geographic Distribution of Breast Cancer Incidence in Massachusetts 1988 to 1997, Adjusted for Covariates 

      Joseph Sheehan, T; DeChello, Laurie M; Gregorio, David I; Gershman, Susan; Mroszczyk, Mary; Kulldorff, Martin (BioMed Central, 2004)
      Background: The aims of this study were to determine whether observed geographic variations in breast cancer incidence are random or statistically significant, whether statistically significant excesses are temporary or ...
    • Geographical Clustering of Prostate Cancer Grade and Stage at Diagnosis, Before and After Adjustment for Risk Factors 

      Klassen, Ann Carroll; Kulldorff, Martin; Curriero, Frank (BioMed Central, 2005)
      Background: Spatial variation in patterns of disease outcomes is often explored with techniques such as cluster detection analysis. In other types of investigations, geographically varying individual or community level ...
    • Guillain-Barré Syndrome, Influenza Vaccination, and Antecedent Respiratory and Gastrointestinal Infections: A Case-Centered Analysis in the Vaccine Safety Datalink, 2009–2011 

      Greene, Sharon K.; Rett, Melisa D.; Vellozzi, Claudia; Li, Lingling; Kulldorff, Martin; Marcy, S. Michael; Daley, Matthew F.; Belongia, Edward A.; Baxter, Roger; Fireman, Bruce H.; Jackson, Michael L.; Omer, Saad B.; Nordin, James D.; Jin, Robert; Weintraub, Eric S.; Vijayadeva, Vinutha; Lee, Grace M. (Public Library of Science, 2013)
      Background: Guillain-Barré Syndrome (GBS) can be triggered by gastrointestinal or respiratory infections, including influenza. During the 2009 influenza A (H1N1) pandemic in the United States, monovalent inactivated influenza ...
    • Influence of Spatial Resolution on Space-Time Disease Cluster Detection 

      Jones, Stephen G.; Kulldorff, Martin (Public Library of Science, 2012)
      Background: Utilizing highly precise spatial resolutions within disease outbreak detection, such as the patients’ address, is most desirable as this provides the actual residential location of the infected individual(s). ...
    • Laboratory-Based Prospective Surveillance for Community Outbreaks of Shigella spp. in Argentina 

      Viñas, María R.; Tuduri, Ezequiel; Galar, Alicia; Yih, Katherine; Pichel, Mariana; Stelling, John; Brengi, Silvina P.; Della Gaspera, Anabella; van der Ploeg, Claudia; Bruno, Susana; Rogé, Ariel; Caffer, María I.; Kulldorff, Martin; Galas, Marcelo (Public Library of Science, 2013)
      Background: To implement effective control measures, timely outbreak detection is essential. Shigella is the most common cause of bacterial diarrhea in Argentina. Highly resistant clones of Shigella have emerged, and ...
    • Lumping or Splitting: Seeking the Preferred Areal Unit for Health Geography Studies 

      Gregorio, David I; DeChello, Laurie M; Samociuk, Holly; Kulldorff, Martin (BioMed Central, 2005)
      Background Findings are compared on geographic variation of incident and late-stage cancers across Connecticut using different areal units for analysis.Results Few differences in results were found for analyses across areal ...
    • Maximum linkage space-time permutation scan statistics for disease outbreak detection 

      Costa, Marcelo A; Kulldorff, Martin (BioMed Central, 2014)
      Background: In disease surveillance, the prospective space-time permutation scan statistic is commonly used for the early detection of disease outbreaks. The scanning window that defines potential clusters of diseases is ...
    • Multiple Source Spatial Cluster Detection Through Multi-criteria Analysis 

      Duczmal, Luiz H.; Almeida, Alexandre C. L.; da Silva, Fabio R.; Kulldorff, Martin (University of Illinois at Chicago Library, 2013)
      Objective: To incorporate information from multiple data streams of disease surveillance to achieve more coherent spatial cluster detection using statistical tools from multi-criteria analysis. Introduction: Multiple data ...
    • Power Evaluation of Disease Clustering Tests 

      Song, Changhong; Kulldorff, Martin (BioMed Central, 2003)
      Background: Many different test statistics have been proposed to test for spatial clustering. Some of these statistics have been widely used in various applications. In this paper, we use an existing collection of 1,220,000 ...
    • Prospective influenza vaccine safety surveillance using fresh data in the Sentinel System† 

      Yih, Weiling Katherine; Kulldorff, Martin; Sandhu, Sukhminder K.; Zichittella, Lauren; Maro, Judith C.; Cole, David V.; Jin, Robert; Kawai, Alison Tse; Baker, Meghan A.; Liu, Chunfu; McMahill‐Walraven, Cheryl N.; Selvan, Mano S.; Platt, Richard; Nguyen, Michael D.; Lee, Grace M. (John Wiley and Sons Inc., 2015)
      Abstract Purpose To develop the infrastructure to conduct timely active surveillance for safety of influenza vaccines and other medical countermeasures in the Sentinel System (formerly the Mini‐Sentinel Pilot), a Food and ...
    • A Scan Statistic for Continuous Data Based on the Normal Probability Model 

      Kulldorff, Martin; Huang, Lan; Konty, Kevin (BioMed Central, 2009)
      Temporal, spatial and space-time scan statistics are commonly used to detect and evaluate the statistical significance of temporal and/or geographical disease clusters, without any prior assumptions on the location, time ...
    • Simulated Anthrax Attacks and Syndromic Surveillance 

      Nordin, James D.; Goodman, Michael J.; Kulldorff, Martin; Ritzwoller, Debra P.; Abrams, Allyson M.; Kleinman, Ken Paul; Levitt, Mary Jeanne; Donahue, James; Platt, Richard (Centers for Disease Control and Prevention, 2005)
      We measured sensitivity and timeliness of a syndromic surveillance system to detect bioterrorism events. A hypothetical anthrax release was modeled by using zip code population data, mall customer surveys, and membership ...
    • Spatial and Temporal Patterns of Enzootic Raccoon Rabies Adjusted for Multiple Covariates 

      Recuenco, Sergio; Eidson, Millicent; Kulldorff, Martin; Johnson, Glen; Cherry, Bryan (BioMed Central, 2007)
      Background: With the objective of identifying spatial and temporal patterns of enzootic raccoon variant rabies, a spatial scan statistic was utilized to search for significant terrestrial rabies clusters by year in New ...
    • Tango's Maximized Excess Events Test with Different Weights 

      Song, Changhong; Kulldorff, Martin (BioMed Central, 2005)
      Background Tango's maximized excess events test (MEET) has been shown to have very good statistical power in detecting global disease clustering. A nice feature of this test is that it considers a range of spatial scale ...
    • Telephone Triage Service Data for Detection of Influenza-Like Illness 

      Yih, Katherine Katherine; Teates, Kathryn S.; Abrams, Allyson; Kleinman, Ken Paul; Kulldorff, Martin; Pinner, Robert; Harmon, Robert; Wang, Stanley; Platt, Richard (Public Library of Science, 2009)
      Background: Surveillance for influenza and influenza-like illness (ILI) is important for guiding public health prevention programs to mitigate the morbidity and mortality caused by influenza, including pandemic influenza. ...
    • Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics 

      Han, Junhee; Zhu, Li; Kulldorff, Martin; Hostovich, Scott; Stinchcomb, David G.; Tatalovich, Zaria; Lewis, Denise Riedel; Feuer, Eric J. (BioMed Central, 2016)
      Background: Spatial and space–time scan statistics are widely used in disease surveillance to identify geographical areas of elevated disease risk and for the early detection of disease outbreaks. With a scan statistic, a ...