Hospitalisations in Brazil: an ecological time series analysis of the impact of medical decision support data as an exogenous variable
This study demonstrates that structured medical search data can serve as exogenous variables to improve the explanatory capacity of time series models of hospitalisation patterns. Despite variation between diseases and regions, this approach shows promise in supporting public health surveillance and could be strengthened by incorporating contextual data in future studies.
Authors
- Diego de Arruda Xavier (ORCID: https://orcid.org/0000-0003-1644-3837)
- Eduardo Guimarães Hourneaux de Moura (ORCID: https://orcid.org/0000-0002-8023-3722)
- Dayanna Quintanilha
Institutions
- Brazilian Medical Association (BR)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-08-18
- DOI
- https://doi.org/10.1186/s12889-025-24188-9
- Citations
- 2
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 2.71