Rapid Assessment and Characterization of Environmental Risks RACER A New Software Tool Gary M' Marsh - PowerPoint PPT Presentation

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Rapid Assessment and Characterization of Environmental Risks RACER A New Software Tool Gary M' Marsh

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The overall size of the potentially exposed population ... Example 3: Power as a Function of % Exposed (ew) and Time (years) - Comparison of 4 Plots ... – PowerPoint PPT presentation

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Title: Rapid Assessment and Characterization of Environmental Risks RACER A New Software Tool Gary M' Marsh


1
Rapid Assessment and Characterization of
Environmental Risks (RACER) - A New Software
Tool -Gary M. Marsh, Ph.D.Michael Cunningham,
M.S.Department of BiostatisticsGraduate School
of Public HealthPittsburgh Environmental
Summit - April 18, 2007
2
Problem - Approach
  • Under what conditions and to what extent can we
    detect elevations in the background rate of
    disease that were truly caused by an
    environmental exposure?
  • To provide a web-based software tool that will
    enable public health officials and others to
    evaluate feasibility of conducting health
    tracking activities or targeted investigations

3
Feasibility Factors (Statistical)
  • The background rate of the disease under study
    (i.e., the rate in the unexposed population)
  • The overall size of the potentially exposed
    population
  • The proportion of the population that is exposed
    to varying levels of the environmental hazard
  • The relative potencies of the various levels of
    exposure to elevate the background rate of
    disease
  • Observation time of exposed subpopulations and
    latency period of disease under study

4
Conceptual Model Airborne Exposure to Point
Source with Proportion of Subpopulations Exposed
Downwind of Source
5
Example 1 80 Statistical Power to Detect
1.3-Fold Excess Reached in 2.5 Years
6
Example 2 Power as Function of MDRR and Time
Period
7
Example 3 Power as a Function of Exposed (ew)
and Time (years) - Comparison of 4 Plots
RRee 1.2
RRee 1.4
RRee 1.6
RRee 1.8
8
Possible Future RACER Enhancements
  • Indirect and direct standardization procedures
  • Extend standardization to multiple factors
  • Account for geographic population mobility
  • Time dependent exposure-elevated relative risks
  • Account for latency/incubation period of health
    endpoints
  • Statistical methods for spatial (clustered) data

9
Acknowledgements

The investigators wish to thank the following
groups for their support and guidance Centers
for Disease Control and Prevention Environmental
Public Health Tracking Program Grant
5U19EH000103-02 (Academic Partners for
Excellence in Environmental Public Health
Tracking) University of Pittsburgh Academic
Consortium for Excellence in Environmental Public
Health Tracking (UPACE-EPHT) (a
collaboration with Drexel University)
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