Simulated Benchmark Data

for the Evaluation of Early Disease Outbreak Detection Methods

based on New York City Zip Code Areas

 

Reference: Kulldorff M, Zhang Z, Hartman J, Heffernan R, Huang L, Mostashari F. Evaluating disease outbreak detection methods: Benchmark data and power calculations. Morbidity and Mortality Weekly Report, 2004, 53:144-151.

 

These documents describe the benchmark data presented in and used by the reference above to evaluate statistical methods for the early detection of disease outbreaks. The data is described in detail in the paper, and here we only provide information about file folders, file names and the structure of the data in the files.

 

DESCRIPTION OF DATA FILES AND FORMATS

 

 

 

 

 

 

 

NYCbenchmark.doc

 

1 file

29 Kb

 

 

 

 

GEOGRAPHICAL COORDINATES FILE

 

 

 

 

 

 

 

NYCbenchmark.geo

 

1 file

10 Kb

 

 

 

 

ZIP CODE POPULATION FILE

 

 

 

 

 

 

 

NYCbenchmark.pop

 

1 file

10 Kb

 

 

 

 

SIMULATED DATA

 

 

 

 

 

 

 

Space-Time Data
 
 
 

Null31

Data simulated under the null hypothesis, 31 days

1 file

18 Mb

Null32

Data simulated under the null hypothesis, 32 days

1 file

19 Mb

Null33

Data simulated under the null hypothesis, 33 days

1 file

19 Mb

OneZip31h

Outbreak in a single zip code, 31 days, high RR

5 files

  9 Mb

OneZip32h

Outbreak in a single zip code, 32 days, high RR

5 files

  9 Mb

OneZip33h

Outbreak in a single zip code, 33 days, high RR

5 files

10 Mb

OneZip31m

Outbreak in a single zip code, 31 days, medium RR

5 files

  9 Mb

OneZip32m

Outbreak in a single zip code, 32 days, medium RR

5 files

  9 Mb

OneZip33m

Outbreak in a single zip code, 33 days, medium RR

5 files

10 Mb

NNZips31h

Outbreak in zip code with nearest neighbors, 31 days, high RR

5 files

  9 Mb

NNZips32h

Outbreak in zip code with nearest neighbors, 32 days, high RR

5 files

  9 Mb

NNZips33h

Outbreak in zip code with nearest neighbors, 33 days, high RR

5 files

10 Mb

NNZips31m

Outbreak in zip code with nearest neighbors, 31 days, med RR

5 files

  9 Mb

NNZips32m

Outbreak in zip code with nearest neighbors, 32 days, med RR

5 files

  9 Mb

NNZips33m

Outbreak in zip code with nearest neighbors, 33 days, med RR

5 files

10 Mb

Borough31h

Outbreak in one of the five Boroughs, 31 days, high RR

5 files

  9 Mb

Borough32h

Outbreak in one of the five Boroughs, 32 days, high RR

5 files

  9 Mb

Borough33h

Outbreak in one of the five Boroughs, 33 days, high RR

5 files

10 Mb

Borough31m

Outbreak in one of the five Boroughs, 31 days, medium RR

5 files

  9 Mb

Borough32m

Outbreak in one of the five Boroughs, 32 days, medium RR

5 files

  9 Mb

Borough33m

Outbreak in one of the five Boroughs, 33 days, medium RR

5 files

10 Mb

Other31

Other outbreak models, 31 days, high & medium RR

6 files

11 Mb

Other32

Other outbreak models, 32 days, high & medium RR

6 files

11 Mb

Other33

Other outbreak models, 33 days, high & medium RR

6 files

12 Mb

 

 

 

 

Purely Temporal Data
 
 
 

Temporal

All the files with purely temporal data

111 files

  9 Mb