Combining epidemiological and genetic networks signifies the importance of early treatment in HIV-1 transmission
Inferring disease transmission networks is important in epidemiology in order to understand and prevent the spread of infectious diseases. Reconstruction of the infection transmission networks requires insight into viral genome data as well as social interactions. For the HIV-1 epidemic, current res...
Saved in:
Main Authors: | Zarrabi, Narges., Prosperi, Mattia C. F., Belleman, Robert G., Colafigli, Manuela., De Luca, Andrea., Sloot, Peter M. A. |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Article |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/94521 http://hdl.handle.net/10220/9348 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Microsoft kinect for early education
by: Tan, Haiwang.
Published: (2013) -
Computer experiments for epidemiological studies : theory, methodology and models
by: Guo, Zaiyi
Published: (2012) -
Antiretroviral therapy optimisation without genotype resistance testing : a perspective on treatment history based models
by: Prosperi, Mattia C. F., et al.
Published: (2013) -
Comparison of HIV-1 genotypic resistance test interpretation systems in predicting virological outcomes over time
by: Frentz, Dineke, et al.
Published: (2013) -
Systems modeling and network inference for genetic and epigenetic regulation of gene expression
by: Chen, Haifen
Published: (2016)