Results 231 to 240 of about 57,777 (273)

An artificial intelligence-based approach to identify volume status in patients with severe dengue using wearable PPG data. [PDF]

open access: yesPLOS Digit Health
Lyle NN   +20 more
europepmc   +1 more source

Prognostic factors in severe dengue patients: A multi-center retrospective cohort study. [PDF]

open access: yesPLoS Negl Trop Dis
Yang CH   +8 more
europepmc   +1 more source

In-silico discovery of druggable molecular signatures that drive dengue fever to severe dengue fever highlighting common pathogenesis through single-cell RNA-Seq analysis. [PDF]

open access: yesSci Rep
Al Noman M   +10 more
europepmc   +1 more source

Immune profiling in subclinical secondary dengue-infected cases reveals adaptive immune signatures correlated to protection from severe dengue. [PDF]

open access: yesCell Host Microbe
Gonnella G   +16 more
europepmc   +1 more source

Spatiotemporal patterns and climatic drivers of severe dengue in Thailand [PDF]

open access: yesScience of the Total Environment, 2019
OBJECTIVES: The burden of dengue fever in Thailand is considerable, yet there are few large-scale studies exploring the drivers of transmission. This study aimed to investigate the spatiotemporal patterns and climatic drivers of severe dengue in Thailand.
Zhiwei Xu   +2 more
exaly   +2 more sources

CORRELATION OF DENGUE SCORE WITH THE SEVERITY OF DENGUE

GLOBAL JOURNAL FOR RESEARCH ANALYSIS, 2023
Background : Dengue is one of the most prevalent vector borne diseases worldwide. Dengue fever presents with wide clinical spectrum ranging from self limiting infection to severe dengue. Aim: Present study is done to correlate a novel indicator 'Dengue Score' with the severity of dengue.
Hemachandra P, Sharath N, Swathi Maiya
openaire   +1 more source

Establishment of SMS Dengue Severity Score

Journal of the Association of Physicians of India, 2022
Background: Dengue infection is a disease that progresses rapidly to life-threatening conditions. Our goal was to develop a practical scoring system based on clinical profiles and routine tests to predict the severity of infection. Methods: This cross-sectional observational study included 500 patients with dengue infection.
Sudhir, Bhandari   +5 more
openaire   +2 more sources

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