Cargando…
Risk predictors of progression to severe disease during the febrile phase of dengue: a systematic review and meta-analysis
BACKGROUND: The ability to accurately predict early progression of dengue to severe disease is crucial for patient triage and clinical management. Previous systematic reviews and meta-analyses have found significant heterogeneity in predictors of severe disease due to large variation in these factor...
Autores principales: | Sangkaew, Sorawat, Ming, Damien, Boonyasiri, Adhiratha, Honeyford, Kate, Kalayanarooj, Siripen, Yacoub, Sophie, Dorigatti, Ilaria, Holmes, Alison |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Science ;, The Lancet Pub. Group
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8240557/ https://www.ncbi.nlm.nih.gov/pubmed/33640077 http://dx.doi.org/10.1016/S1473-3099(20)30601-0 |
Ejemplares similares
-
The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality
por: Ming, Damien K., et al.
Publicado: (2022) -
Using cluster analysis to reconstruct dengue exposure patterns from cross-sectional serological studies in Singapore
por: Sangkaew, Sorawat, et al.
Publicado: (2020) -
Clinical Manifestations and Management of Dengue/DHF/DSS
por: Kalayanarooj, Siripen
Publicado: (2011) -
Continuous physiological monitoring using wearable technology to inform individual management of infectious diseases, public health and outbreak responses
por: Ming, Damien K., et al.
Publicado: (2020) -
Connectivity of rapid-testing diagnostics and surveillance of infectious diseases
por: Ming, Damien, et al.
Publicado: (2019)