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ABSTRACT: Purpose
Public health surveillance depends on continuous monitoring to guide interventions and allocate resources effectively. This study aimed to evaluate whether structured medical search data from the Afya Whitebook®, a clinical decision-support platform, can serve as exogenous variables to enhance the explanatory capacity of time series models characterising hospitalisation patterns within Brazil's public health system.Methods
An ecological time series analysis was conducted using hospitalisation data (SIH/SUS) and Afya Whitebook® search volumes from 2021 to 2024. SARIMAX models assessed temporal associations between search activity and hospital admissions across Brazilian states, compared to univariate SARIMA models to evaluate the added value of search data.Result
SUBMITTER: Quintanilha D
PROVIDER: S-EPMC12359944 | biostudies-literature | 2025 Aug
REPOSITORIES: biostudies-literature