Dengue Severity Prediction in a Hyperendemic Region in Colombia

The developed predictive model provides significant assistance to clinicians in assessing SD risk and optimizing triage, which is particularly crucial during dengue outbreaks.

Authors

Institutions

Publication Details

Journal
Viruses
Published
2025-05-22
DOI
https://doi.org/10.3390/v17060740
Citations
1
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
1.88

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dengue Severity Prediction in a Hyperendemic Region in Colombia

Katerine Marín, Luz Stella Giraldo Cardona, Berta Nelly Restrepo, Ángela María Segura Cardona et al.
1 citations
Viruses
Mosquito-borne diseases and control
1.88
article

Dengue Severity Prediction in a Hyperendemic Region in Colombia

Katerine Marín, Luz Stella Giraldo Cardona, Berta Nelly Restrepo, Ángela María Segura Cardona, Margarita Arboleda, Jorge Emilio Salazar Flórez
article en
1 citations

Abstract

The developed predictive model provides significant assistance to clinicians in assessing SD risk and optimizing triage, which is particularly crucial during dengue outbreaks.

VirusesVol. 17(6)
Saint Martin University (CO), Instituto Colombiano de Medicina Tropical (CO), Universidad CES (CO), Clínica CES (CO)
Ministério da Ciência, Tecnologia e Inovação
Openalex Percentile: Top 16%
Mosquito-borne diseases and control
1.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.