Leveraging machine learning on the role of hospitalizations in the dynamics of dengue spread in Brazil: an ecological study of health systems resilience.

ABSTRACT:

Background

The alarming rise in dengue cases and fatalities worldwide necessitates an in-depth analysis of essential public health functions (EPHFs) to fortify the resilience of health systems in the face of upcoming surges. This study focuses on the resilience of Brazil's health system in managing dengue from 2010 to 2024, leveraging machine learning techniques to correlate EPHF variables with dengue outcomes.

Methods

Utilizing public data from DATASUS and IBGE, we evaluated indicators such as healthcare workforce, health facilities, and dengue-specific data. A regression tree analysis identified associations between dengue hospitalizations and dengue deaths among Brazilian capitals, emphasizing the importance of strengthening outpatient services and monitoring systems for

SUBMITTER: de Castro-Nunes P 

PROVIDER: S-EPMC11891147 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature