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 language | English (US) |
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Article number | e23380 |
Journal | PloS one |
Volume | 6 |
Issue number | 8 |
DOIs | |
State | Published - Aug 24 2011 |
ASJC Scopus subject areas
- General