ArticleLancet regional health. Americas2025
Leveraging machine learning on the role of hospitalizations in the dynamics of dengue spread in Brazil: an ecological study of health systems resilience.
Article in Lancet regional health. Americas, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Forecasting and Early Warning Systems for Dengue Outbreaks: Updated Narrative Review.Revista da Sociedade Brasileira de Medicina Tropical · 2026Review
- Volatile outcomes of essential public health functions: a cross-sectional study of surveillance and equitable access on Brazil's Unified Health System (SUS).Frontiers in public health · 2025Article
- Geospatial clustering reveals dengue hotspots across Brazilian municipalities, 2024.Frontiers in public health · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
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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 resilient performance. Findings: This study revealed that capitals with fewer hospitalizations have seen recent improvements; nevertheless, continuous efforts are vital to prevent sudden surges. These findings underscore the critical role of health surveillance and community involvement in enhancing EPHF performance. Interpretation: This research contributes to understanding the dynamic interactions within health systems and highlights the importance of proactive and integrated public health strategies to manage dengue and similar arboviruses. Funding: The present study was funded by the Inova Fiocruz Program, grant 1366515559697323; and by the National Council for Scientific and Technological Development (CNPq), grant 401278/2022-0. Alessandro Jatobá is partially funded by CNPq, grants 307029/2021-2 and 405469/2023-3 and by the Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro (FAPERJ), grant E-26/210.728/2023 and E-26/201.252/2022. Paulo Victor Rodrigues de Carvalho is partially funded by CNPq, grant: 304770/2020-5 and by FAPERJ, grant E-26/203.934/2024.
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