Under-reporting of pertussis in Ontario: A Canadian Immunization Research Network (CIRN) study using capture-recapture.

ABSTRACT:

Introduction

Under-reporting of pertussis cases is a longstanding challenge. We estimated the true number of pertussis cases in Ontario using multiple data sources, and evaluated the completeness of each source.

Methods

We linked data from multiple sources for the period 2009 to 2015: public health reportable disease surveillance data, public health laboratory data, and health administrative data (hospitalizations, emergency department visits, and physician office visits). To estimate the total number of pertussis cases in Ontario, we used a three-source capture-recapture analysis stratified by age (infants, or aged one year and older) and adjusting for dependency between sources. We used the Bayesian Information Criterion to compare models.

Results

Using probable and

SUBMITTER: Crowcroft NS 

PROVIDER: S-EPMC5931792 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature