Generating Health Estimates by Zip Code
A Semiparametric Small Area Estimation Approach Using the California Health Interview Survey
Bibliographic Data
Objectives. We propose a method to meet challenges in generating health estimates for granular geographic areas in which the survey sample size is extremely small. Methods. Our generalized linear mixed model predicts health outcomes using both individual-level and neighborhood-level predictors. The model’s feature of nonparametric smoothing function on neighborhood-level variables better captures the association between neighborhood environment and the outcome. Using 2011 to 2012 data from the California Health Interview Survey, we demonstrate an empirical application of this method to estimate the fraction of residents without health insurance for Zip Code Tabulation Areas (ZCTAs). Results. Our method generated stable estimates of uninsurance for 1519 of 1765 ZCTAs (86%) in California. For some areas with great socioeconomic diversity across adjacent neighborhoods, such as Los Angeles County, the modeled uninsured estimates revealed much heterogeneity among geographically adjacent ZCTAs. Conclusions. The proposed method can increase the value of health surveys by providing modeled estimates for health data at a granular geographic level. It can account for variations in health outcomes at the neighborhood level as a result of both socioeconomic characteristics and geographic locations
Cartography · Econometrics · Environmental health · Estimation · Geography · Health equity · Nonparametric statistics · Population · Public health · Sample (material) · Small area estimation · Smoothing · Socioeconomic status · Statistics · Zip code · Data-Driven Disease Surveillance · Health disparities and outcomes · Health, Environment, Cognitive Aging · Mathematics · Medicine
ZIP Code-Level Estimates from a Local Health Survey
Using Index of Concentration at the Extremes as Indicators of Structural Racism to Evaluate the Association with Preterm Birth and Infant Mortality—California, 2011–2012
Individual- and Community-Level Factors in the STD Status of Justice-Involved Youth
Semiparametric Regression
The Development of Hierarchical Factor Solutions
Applied Survey Data Analysis
Human Papillomavirus Vaccine Coverage Among Females Aged 11 to 17 in Texas Counties
Small area estimates of smoking prevalence in London. Testing the effect of input data
Small Area Estimates Reveal High Cigarette Smoking Prevalence in Low-Income Cities of Los Angeles County
Toward the next generation of research into small area effects on health
Comparison of a spatial approach with the multilevel approach for investigating place effects on health
Results From the Data & Democracy Initiative to Enhance Community-Based Organization Data and Research Capacity
Excess Black Mortality in the United States and in Selected Black and White High-Poverty Areas, 1980–2000
Small-Area Estimation of Health Insurance Coverage for California Legislative Districts
Small-Area Estimation and Prioritizing Communities for Obesity Control in Massachusetts
Predicting small-area health-related behaviour
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,38 |
| Citation span | 2018 - 2020 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |