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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

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Estimating incidence curves of several infections using symptom surveillance data.

Goldstein Edward E   Cowling Benjamin J BJ   Aiello Allison E AE   Takahashi Saki S   King Gary G   Lu Ying Y   Lipsitch Marc M  

PloS one 20110824 8


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 Michiga  ...[more]

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