Predicting the infecting dengue serotype from antibody titre data using machine learning.
The development of a safe and efficacious vaccine that provides immunity against all four dengue virus serotypes is a priority, and a significant challenge for vaccine development has been defining and measuring serotype-specific outcomes and correlates of protection. The plaque reduction neutralisa...
Saved in:
| Main Authors: | Bethan Cracknell Daniels, Darunee Buddhari, Taweewun Hunsawong, Sopon Iamsirithaworn, Aaron R Farmer, Derek A T Cummings, Kathryn B Anderson, Ilaria Dorigatti |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2024-12-01
|
| Series: | PLoS Computational Biology |
| Online Access: | https://doi.org/10.1371/journal.pcbi.1012188 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Continuous detection of Chikungunya Virus in a passive surveillance system in southern Thailand, 2012-2019.
by: Aaron Farmer, et al.
Published: (2025-01-01) -
Force of Infection Model for Estimating Time to Dengue Virus Seropositivity among Expatriate Populations, Thailand
by: Erica Rapheal, et al.
Published: (2025-06-01) -
Modelling Virus and Antibody Dynamics during Dengue Virus Infection Suggests a Role for Antibody in Virus Clearance.
by: Hannah E Clapham, et al.
Published: (2016-05-01) -
Clinical characteristics and serotype association of dengue and dengue like illness in Pakistan.
by: Najeeha Talat Iqbal, et al.
Published: (2025-05-01) -
[Poème sans titre]
by: Eduardo Chirinos
Published: (2010-12-01)