162252
Epidemiologic Challenges in Post-Disaster Population
Monday, November 5, 2007: 9:05 AM
Felicia A. Rabito, PhD
,
Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
Elizabeth W. Holt, MPH
,
Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
Shahed Iqbal, PhD, MBBS
,
National Center for Environmental Health/Air Pollution and Respiratory Health Branch, Centers for Disease Control and Prevention, Chamblee, GA
John J. Lefante, PhD
,
Biostatistics, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA
The post-Katrina New Orleans environment is a major concern
of returning residents. The Healthy Home Project is a study assessing the
indoor environment of New Orleans households (N=100). Given the combination of
mass migration, extensive demolitions, and low occupancy rates, standard
probability sampling was not feasible. Challenges included lack of an accurate
sampling frame and methods to delineate non-response from vacancy. We developed
a sampling methodology to obtain a representative sample of all occupied
households in New Orleans.
US Census 2000 data and post-Katrina occupancy estimates were
combined to develop sampling parameters. Stratified random sampling was employed
to ensure representation of all areas of the city, including areas heavily flooded.
Ten New Orleans planning districts were included as strata. Required sample
size per stratum was proportional to post-Katrina occupancy. Households were
oversampled to account for non-response and vacancies. The following formula
was used.
A total of 1,638 addresses were drawn randomly from a
pre-Katrina sampling frame to represent all occupied housing in New Orleans. To preserve the integrity of the random selection process, addresses were picked
chronologically for recruitment. Each household's occupancy was determined
based on a 21-item occupancy criteria.
Probability sampling in a post-disaster environment poses
unique challenges. Although non-probability sampling methods are acceptable, we
developed a probabilistic method to obtain a representative sample. This
approach may help ensure greater representation of New Orleans households.
Learning Objectives: 1. Identify challenges in sampling and recruitment for epidemiologic studies in post-disaster population (Post-Katrina New Orleans).
2. Develop a probability sampling approach to obtain a representative sample in post-disaster population.
3. Construct a design to preserve validity of an epidemiologic study within time and financial constraints in a post-disaster situation.
Keywords: Epidemiology, Disasters
Presenting author's disclosure statement:Any relevant financial relationships? No Any institutionally-contracted trials related to this submission?
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines,
and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed
in my presentation.
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