Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data

Citation

Goldstein, Edward; Cowling, Benjamin J.; Aiello, Allison E.; Takahashi, Saki; King, Gary; Lu, Ying; & Lipsitch, Marc (2011). Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data. PLOS ONE, 6(8), e23380. PMCID: PMC3160845

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.

URL

http://dx.doi.org/10.1371/journal.pone.0023380

Reference Type

Journal Article

Year Published

2011

Journal Title

PLOS ONE

Author(s)

Goldstein, Edward
Cowling, Benjamin J.
Aiello, Allison E.
Takahashi, Saki
King, Gary
Lu, Ying
Lipsitch, Marc

PMCID

PMC3160845

ORCiD

Aiello - 0000-0001-7029-2537