Table 1 The data sets that will be included in our simulation

Adult

32,561

The adult dataset from the UC Irvine machine learning data repository. This is an extract from the US census and has common demographics and socio-economic status variables: ftp://ftp.ics.uci.edu/pub/machine-learning-databases/adult

· Age

· Profession

· Education

· Marital status

· Race

· Sex

· Country

FARS

·

43,330

Department of Transportation Fatal crash information: http://www-fars.nhtsa.dot.gov/main.cfm

· Age

· Race

· Month of Death

· Day of Death

CUP

95,412

Data from the Paralyzed Veterans Association on veterans with spinal cord injuries or disease: http://kdd.ics.uci.edu/databases/kddcup98/kddcup98.html

· ZIP code

· Age

· Gender

· Income

Pharm

16,424

Prescription records from the Children’s Hospital of Eastern Ontario pharmacy from July 2006 to March 2009. This is for inpatients only and excludes acute cases. A de-identified version of this data was disclosed to commercial data aggregators [67].

· Age

· Postal code (FSA)

· Admission date

· Discharge date

· Sex

ED

108,344

Emergency department records from Children’s Hospital of Eastern Ontario from 1^st June 2007 to 1^st June 2009. This data is disclosed for the purpose of disease outbreak surveillance.

· Admission date

· Postal Code

· Date of Birth

· Sex

Niday

637,964

A registry of all newborns in Ontario from 1^st April 2004 to 31^st March 2009. This data set is used frequently for research purposes: http://www.bornontario.ca

· Maternal postal code

· Baby DoB

· Mother DoB

· Baby sex