Hospitalisations in Brazil
An ecological time series analysis of the impact of medical decision support data as an exogenous variable
Bibliographic Data
| ID | 15357941 |
|---|---|
| Authors | Dayanna Quintanilha (Brazilian Medical Association, corresponding author), Eduardo Guimarães Hourneaux de Moura (0000-0002-8023-3722, Brazilian Medical Association), Eduardo Moura, Diego de Arruda Xavier (0000-0003-1644-3837, Brazilian Medical Association), Danielly Xavier |
| Year | 2025 |
| Volume | 25 |
| Issue | 1 |
| Pages | 2827-2827 |
| Publication date | 2025-08-18 |
| 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/s12889-025-24188-9 |
| PMID | 40826054 |
| OpenAlex | W4413276794 |
| Language | EN |
| References cited | 21 |
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
Biostatistics · Ecological study · Environmental health · Pathology · Population · Public health · Series (stratigraphy · Statistics · Time series · Variable (mathematics · Data-Driven Disease Surveillance · Healthcare Policy and Management · Healthcare Systems and Reforms · Medicine · Epidemiology · Internal Medicine
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| Highly cited | No |
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