Acknowledgements. Epidemiologic Query & Mapping System. Sherrilynn Fuller Principal Investigator. Public Health System Linkages – Bench to Bedside and Beyond. Richard Hoskins Cathy O’Connor. Clark Johnson. Patrick O’Carroll. EpiQMS URL. http://126.96.36.199/EpiQMS/.
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Epidemiologic Query & Mapping System
Sherrilynn FullerPrincipal Investigator
Public Health System Linkages – Bench to Bedside and Beyond
Also EPIQMS in www.google.com
ABORTIONS 1991-1999BIRTHS CERTIFICATE 1980-1999CANCER Registry
CENSUS DATA 1980 1990 – 1998 2000
(state, county, census tract, legislative district, school district, Zip Code, SES cluster zones, climate zones, rural areas) COMMUNICABLE DISEASE 1980-1997DEATHS 1980-2000 ICD9 – ICD10
HOSPITALIZATIONS 1990 -1999HOSPITALIZATIONS (EPI FILE) 1990-1999 INFANT DEATHS 1981-1999STD 1993-1999 TUBERCULOSIS 1992-1999
HIV 1992 – 1999
Health of Washington State
Crime , housingDatasets for EpiQMS
How it works …
DOH:Secure Data Server
No identifiers !
EpiQMS Internet Engine
EpiQMS: Data Server
Aggregating events by:
Beginningto think geographically ...
Issues in thematic mapping
Different conclusionscan be drawn from maps of thesame data.
The Modifiable ArealUnit Problem (MAUP)
A form of ecological fallacy associated with the aggregation of data into areal units for geographical analysis.
There are two effects:
Scale effect: The larger the unit of aggregation, the larger, on average, is the correlation between two variables.
Aggregation effect: By aggregating data into different blocks, you can get different correlations. 1960 election:
+0.44 correlation between rural non-farm voting for Nixon in using Census nine-region division -0. 22 correlation using the Census four-region division.
How to estimate disease rates in “small” areas?
posterior likelihood prior
distribution of datadistribution
Mean (smoothed rates)
std error (Bayesian confidence intervals)
Bayesian Rate Ratio
0.00 to 0.75
0.75 to 1.25
1.25 to 2.25
2.25 to 12.00
Deaths from breast cancer in age 35-44 women
Blank areas indicate no deaths