Small-area estimation for public health surveillance using electronic health record data
Reducing the impact of underrepresentation
Bibliographic Data
| ID | 15375633 |
|---|---|
| Authors | Tom Chen (0000-0002-5954-2053, Harvard University, corresponding author), Wenjun Li (0000-0002-5612-8543, University of Massachusetts Lowell), Bob Zambarano (0009-0003-5723-748X), Michael Klompas (0000-0001-8641-4498, Brigham and Women's Hospital) |
| Year | 2022 |
| Volume | 22 |
| Issue | 1 |
| Pages | 1515-1515 |
| Publication date | 2022-08-09 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-022-13809-2 |
| PMID | 35945537 |
| OpenAlex | W4291019020 |
| Language | EN |
| Citations received | 2 |
| References cited | 10 |
Small-area estimation using EHR data is feasible and generates estimates comparable to BRFSS state and small-area estimates. Integrating EHR data with survey data can provide timely and accurate disease monitoring tools for areas with sparse data coverage
American Community Survey · Behavioral Risk Factor Surveillance System · Biostatistics · Census · Environmental health · Estimation · Obesity · Population · Public health · Small area estimation · Statistics · Health disparities and outcomes · Medicine · Public Health Policies and Education · Smoking Behavior and Cessation
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MDPHnet
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2025 (2) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |