Search Results - "Grannis, S J"

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  1. 1

    A Context-sensitive Approach to Anonymizing Spatial Surveillance Data: Impact on Outbreak Detection by Cassa, Christopher A., Grannis, Shaun J., Overhage, J. Marc, Mandl, Kenneth D.

    “…The use of spatially based methods and algorithms in epidemiology and surveillance presents privacy challenges for researchers and public health agencies. We…”
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    Journal Article
  2. 2

    Public Health Informatics Workforce Skills and Needs: A Descriptive Analysis using the 2017 PH WINS by Dixon, B E, McFarlane, T D, Grannis, S J, Gibson, P J

    Published in European journal of public health (01-09-2020)
    “…In 2017, the Association of State and Territorial Health Officials fielded the Public Health Workforce Interests and Needs Survey (PH WINS), a nationally…”
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    Journal Article
  3. 3

    Towards public health decision support: a systematic review of bidirectional communication approaches by Dixon, Brian E, Gamache, Roland E, Grannis, Shaun J

    “…To summarize the literature describing computer-based interventions aimed at improving bidirectional communication between clinical and public health. A…”
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    Journal Article
  4. 4

    An Empiric Modification to the Probabilistic Record Linkage Algorithm Using Frequency-Based Weight Scaling by Zhu, Vivienne J., Overhage, Marc J., Egg, James, Downs, Stephen M., Grannis, Shaun J.

    “…To incorporate value-based weight scaling into the Fellegi-Sunter (F–S) maximum likelihood linkage algorithm and evaluate the performance of the modified…”
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    Journal Article
  5. 5

    Real world performance of approximate string comparators for use in patient matching by Grannis, Shaun J, Overhage, J Marc, McDonald, Clement

    “…Medical record linkage is becoming increasingly important as clinical data is distributed across independent sources. To improve linkage accuracy we studied…”
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    Journal Article
  6. 6

    Generating Synthetic Syndromic-Surveillance Data for Evaluating Visual-Analytics Techniques by Maciejewski, R., Hafen, R., Rudolph, S., Tebbetts, G., Cleveland, W.S., Grannis, S.J., Ebert, D.S.

    Published in IEEE computer graphics and applications (01-05-2009)
    “…This system generates synthetic syndromic-surveillance data for evaluating visualization and visual-analytics techniques. Modeling data from emergency room…”
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    Magazine Article