Estimating incidence curves of several infections using symptom surveillance data

Edward Goldstein, Benjamin J. Cowling, Allison E. Aiello, Saki Takahashi, Gary King, Ying Lu, Marc Lipsitch

Research output: Contribution to journalArticle

Abstract

We introduce a method for estimating incidence curves of several co-circulating infectious pathogens, where each infection has its own probabilities of particular symptom profiles. Our deconvolution method utilizes weekly surveillance data on symptoms from a defined population as well as additional data on symptoms from a sample of virologically confirmed infectious episodes. We illustrate this method by numerical simulations and by using data from a survey conducted on the University of Michigan campus. Last, we describe the data needs to make such estimates accurate.

Original languageEnglish (US)
Article numbere23380
JournalPLoS One
Volume6
Issue number8
DOIs
Publication statusPublished - Aug 24 2011

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ASJC Scopus subject areas

  • Agricultural and Biological Sciences(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Medicine(all)

Cite this

Goldstein, E., Cowling, B. J., Aiello, A. E., Takahashi, S., King, G., Lu, Y., & Lipsitch, M. (2011). Estimating incidence curves of several infections using symptom surveillance data. PLoS One, 6(8), [e23380]. https://doi.org/10.1371/journal.pone.0023380