Detection of Outbreak Signals Using R

Authors

  • Steve E. Rigdon Saint Louis University, Saint Louis, MO, United States
  • George Turabelidze Missouri Department of Health and Senior Services, Saint Louis, MO, United States
  • Richard DeClue Saint Louis University, Saint Louis, MO, United States
  • Sarah Patrick Saint Louis University, Saint Louis, MO, United States
  • Ehsan Jahanpour Missouri Department of Health and Senior Services, Saint Louis, MO, United States
  • Rong He Missouri Department of Health and Senior Services, Saint Louis, MO, United States
  • Jennifer Lloyd Missouri Department of Health and Senior Services, Saint Louis, MO, United States

DOI:

https://doi.org/10.5210/ojphi.v6i1.5070

Abstract

Regression analysis is used to fit a periodic model to weekly disease counts for reportable diseases in Missouri.  These trigonometric models are then used to obtain upper control limits for the number of cases that would lead to an outbreak signal.  The methods, including graphics, are implemented in the open source statistical package R.

Author Biography

Steve E. Rigdon, Saint Louis University, Saint Louis, MO, United States

Steven E. Rigdon is Professor of Biostatistics in the College for Public Health and Social Justice at Saint Louis. He is also Distinguished Research Professor Emeritus at Southern Illinois University Edwardsville. He received a PhD in Statistics in 1985 from the University of Missouri, and has worked in both industry and academia since then. He has published over 60 papers on various topics such as reliability, survival analysis, experimental design, and quality monitoring.

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Published

2014-03-09

How to Cite

Rigdon, S. E., Turabelidze, G., DeClue, R., Patrick, S., Jahanpour, E., He, R., & Lloyd, J. (2014). Detection of Outbreak Signals Using R. Online Journal of Public Health Informatics, 6(1). https://doi.org/10.5210/ojphi.v6i1.5070

Issue

Section

Oral Presentations