title: Propagating the effects of missing data sources in a surveillance system.
abstract: Sporadically missing data sources in syndromic surveillance systems result in inaccurate counts and detection algorithm results. We examined how data quality issues relating to missing data sources propagate through a surveillance system and devised a method to track and visualize the resulting data quality issues.
authors.affiliation: Foundation for Health Care Quality, Seattle, WA, USA.
authors.forename: I S
authors.initials: IS
authors.lastname: Painter
authors.forename: A
authors.initials: A
authors.lastname: Harvey
authors.forename: K
authors.initials: K
authors.lastname: Peterson
authors.forename: P
authors.initials: P
authors.lastname: Tran
authors.forename: Kevin
authors.initials: K
authors.lastname: Taylor
mesh_terms: D004636:Emergency Service, Hospital; D011159:Population Surveillance; D040442:Public Health Informatics / Q000592:standards; D012107:Research Design