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 journalArticlepeer-review


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
Issue number8
StatePublished - Aug 24 2011

ASJC Scopus subject areas

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


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