Re-scaling and small area estimation of behavioral risk survey guided by social vulnerability data.

ABSTRACT:

Background

Local governments and other public health entities often need population health measures at the county or subcounty level for activities such as resource allocation and targeting public health interventions, among others. Information collected via national surveys alone cannot fill these needs. We propose a novel, two-step method for rescaling health survey data and creating small area estimates (SAEs) of smoking rates using a Behavioral Risk Factor Surveillance System survey administered in 2015 to participants living in Allegheny County, Pennsylvania, USA.

Methods

The first step consisted of a spatial microsimulation to rescale location of survey respondents from zip codes to tracts based on census population distributions by age, sex, race, and education. The r

SUBMITTER: Stacy SL 

PROVIDER: S-EPMC9881361 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature