Unknown

Dataset Information

Updating the Epidemiology of Blastomycosis and Histoplasmosis in the United States, Using National Electronic Health Record Data, 2013-2023.


ABSTRACT:

Background

Where surveillance data are limited, nationally representative electronic health records allow for geographic, temporal, and demographic characterization of the fungal diseases blastomycosis and histoplasmosis.

Methods

We identified incident blastomycosis and histoplasmosis cases from 2013 to 2023 within Oracle EHR Real-World Data, which comprises 1.6 billion healthcare encounters nationally. To characterize spatiotemporal incidence trends, we used generalized estimating equations weighted for nonrepresentativeness of electronic health record-reporting facilities. We computed standardized incidence rate ratios (sIRRs), which relay relative differences in standardized incidence rates between regions, race/ethnicity, gender, and age subgroups and the national popula

SUBMITTER: Bartels JGE 

PROVIDER: S-EPMC12718065 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature