Figshare
open access
CC BY 4.0
<b>Diagnostic Accuracy of a Novel Early Warning Score (EWS) in Predicting Progression to Severe Dengue: A Cross-Sectional Validation Study</b>
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- A mechanistic statistical model of dengue dynamics in an endemic region#1161134
- Assessing the impact of flood duration on dengue burden across 108 countries.#223210
- Assessing the impact of flood duration on dengue burden across 108 countries#217758
- Dengue hospitalizations in Brazil: Forecasting with climatic and physicians' digital search data under real-world reporting delays.#244306
- An Early Warning Model for Assessing the Onset, Progression and Sequelae of COVID-19#982310
Record · ID 417844
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive