Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data

Citation:

Edward Goldstein, Benjamin J Cowling, Allison E Aiello, Saki Takahashi, Gary King, Ying Lu, and Marc Lipsitch. 2011. “Estimating Incidence Curves of Several Infections Using Symptom Surveillance Data.” PLoS ONE, 8, 6: e23380. Copy at http://j.mp/2nRzHgY
Article385 KB
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.

Link to PLoS version

DOI: doi:10.1371/journal.pone.0023380
Last updated on 07/25/2013