Propagating the effects of missing data sources in a surveillance system.
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.
Painter
I S
IS
Foundation for Health Care Quality, Seattle, WA, USA.
Harvey
A
A
Peterson
K
K
Tran
P
P
Taylor
Kevin
K
D004636:Emergency Service, Hospital; D011159:Population Surveillance; D040442:Public Health Informatics / Q000592:standards; D012107:Research Design