Statistical identifiability and sample size calculations for serial seroepidemiology.

ABSTRACT: Inference on disease dynamics is typically performed using case reporting time series of symptomatic disease. The inferred dynamics will vary depending on the reporting patterns and surveillance system for the disease in question, and the inference will miss mild or underreported epidemics. To eliminate the variation introduced by differing reporting patterns and to capture asymptomatic or subclinical infection, inferential methods can be applied to serological data sets instead of case reporting data. To reconstruct complete disease dynamics, one would need to collect a serological time series. In the statistical analysis presented here, we consider a particular kind of serological time series with repeated, periodic collections of population-representative serum. We refer to this study d

SUBMITTER: Vinh DN 

PROVIDER: S-EPMC4558460 | biostudies-literature | 2015 Sep

REPOSITORIES: biostudies-literature