Estimating incidence curves of several infections using symptom surveillance data.
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- Record sourced from PubMed, PMID 21887246.
- Also identified by DOI 10.1371/journal.pone.0023380 and PMC identifier PMC2796142.
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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.