Estimating incidence curves of several infections using symptom surveillance data.

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.

SUBMITTER: Goldstein E 

PROVIDER: S-EPMC3160845 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature