Using Mathematical Models to Advance HIV Prevention, Treatment and Cure Research

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Guest Editors

Prof. Dobromir Dimitrov
Fred Hutchinson Cancer Research Center, USA
Email: ddimitro@fredhutch.org

Prof. Joshua Schiffer
Fred Hutchinson Cancer Research Center, USA
Email: jschiffe@fredhutch.org

Dr. Aditya Khanna
University of Chicago, USA
Email: akhanna@medicine.bsd.uchicago.edu

Manuscript Topics

The field of HIV prevention, treatment and cure is dynamic, with new biobehavioral interventions being tested and becoming available frequently. This warrants the expanded research interest in exploring the mechanisms of protection at individual level and evaluating the impact of biomedical interventions at population level.

The goal of this special issue is to collect novel contributions of mathematical and computational modeling to the HIV prevention, treatment and cure research. Within-host models can be used to understand the dynamics of the immune response to HIV during various stages of infection and to optimize therapeutic, preventative and curative approaches. Population models can be employed to simulate the transmission among general population and high-risk groups at different epidemic settings, to estimate the effectiveness of various combinations of HIV prevention and treatment tools and to inform the design on future clinical trials. Papers using all modeling frameworks are welcome including: i) deterministic compartmental models based on ordinary, delay and partial differential equations; ii) stochastic epidemic models including Markov chain models and iii) individual-based network models.

Specific topics include but are not limited to:

• Modeling and forecasting HIV epidemic dynamics in local, spatial and global contexts. Studies of risk distribution, drivers of HIV transmission, improvements in the HIV prevention and treatment cascades.
• Evaluation of HIV prevention strategies based on current approaches or novel biomedical and behavioral interventions.
• Modeling patterns of HIV transmission in sexual networks and assessing the impact of targeted HIV prevention strategies.
• Analyses of the qualitative behaviors of HIV models. Methodological studies on model selection and investigations of the importance of key modeling assumptions.
• Novel computational approaches to parameter estimation and better use of data for model calibration and validation.
• Intra-host models of HIV viral dynamics, the HIV reservoir, anti-HIV immune responses or vaccination induced immune responses.
• Models that advance implementation science. Models that incorporate barriers to HIV prevention and treatment, particularly structural and psychosocial factors that need to be addressed to increase population health equity.

Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is December 30, 2020.

Instructions for authors
http://www.aimspress.com/news/295.html
Please submit your manuscript to online submission system
http://oeps.aimspress.com/mbe/ch/author/login.aspx

A. M. Elaiw, N. H. AlShamrani, A. D. Hobiny
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Mark Kot, Dobromir T. Dimitrov
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