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  • All HBS Web  (9)
    • Faculty Publications  (3)

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    • All HBS Web  (9)
      • Faculty Publications  (3)

      Disease Surveillance Remove Disease Surveillance →

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      • Article

      Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps

      By: Claudia Engel, Jonathan Rodden and Marco Tabellini
      Choropleth disease maps have become an important tool for informing the public about the risks posed by COVID-19. In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first one reported...  View Details
      Keywords: Disease Surveillance; Health Pandemics; Risk and Uncertainty; Perception; Policy
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      Engel, Claudia, Jonathan Rodden, and Marco Tabellini. "Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps." Science Advances 8, no. 11 (March 18, 2022).
      • 2016
      • Article

      Penalized Fast Subset Scanning

      By: Skyler Speakman, Sriram Somanchi, Edward McFowland III and Daniel B. Neill
      We present the penalized fast subset scan (PFSS), a new and general framework for scalable and accurate pattern detection. PFSS enables exact and efficient identification of the most anomalous subsets of the data, as measured by a likelihood ratio scan statistic....  View Details
      Keywords: Disease Surveillance; Likelihood Ratio Statistic; Pattern Detection; Scan Statistic; Mathematical Methods
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      Speakman, Skyler, Sriram Somanchi, Edward McFowland III, and Daniel B. Neill. "Penalized Fast Subset Scanning." Journal of Computational and Graphical Statistics 25, no. 2 (2016): 382–404. (Selected for “Best of JCGS” invited session by the journal’s editor in chief.)
      • Article

      Fast Subset Scan for Multivariate Spatial Biosurveillance

      By: Daniel B. Neill, Edward McFowland III and Huanian Zheng
      We present new subset scan methods for multivariate event detection in massive space-time datasets. We extend the recently proposed 'fast subset scan' framework from univariate to multivariate data, enabling computationally efficient detection of irregular space-time...  View Details
      Keywords: Algorithms; Disease Surveillance; Event Detection; Scan Statistics; Spatial Scan
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      Neill, Daniel B., Edward McFowland III, and Huanian Zheng. "Fast Subset Scan for Multivariate Spatial Biosurveillance." Statistics in Medicine 32, no. 13 (June 15, 2013): 2185–2208.
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