Abstract

Pathogen populations can evolve in response to selective pressure from vaccine-induced immune responses. For HIV, models predict that viral adaptation, either via strain replacement or selection on de novo mutation, may rapidly reduce the effectiveness of an HIV vaccine. We hypothesized that behavioral risk compensation after vaccination may accelerate the transmission of vaccine resistant strains, increasing the rate of viral adaptation and leading to a more rapid decline in vaccine effectiveness. To test our hypothesis, we modeled: (a) the impact of risk compensation on rates of HIV adaptation via strain replacement in response to a partially effective vaccine; and (b) the combined impact of risk compensation and viral adaptation on vaccine-mediated epidemic control. We used an agent-based epidemic model that was calibrated to HIV-1 trends in South Africa, and includes demographics, sexual network structure and behavior, and within-host disease dynamics. Our model predicts that risk compensation can increase the rate of HIV viral adaptation in response to a vaccine. In combination, risk compensation and viral adaptation can, under certain scenarios, reverse initial declines in prevalence due to vaccination, and result in HIV prevalence at 15 years equal to or greater than prevalence without a vaccine.

Details

Title
Risk compensation after HIV-1 vaccination may accelerate viral adaptation and reduce cost-effectiveness: a modeling study
Author
Peebles, Kathryn 1 ; Mittler, John E 2 ; Goodreau, Steven M 3 ; Murphy, James T 4 ; Reid, Molly C 1 ; Abernethy, Neil 5 ; Gottlieb, Geoffrey S 6 ; Barnabas Ruanne V 7 ; Herbeck, Joshua T 8 

 University of Washington, Department of Epidemiology, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 University of Washington, Department of Microbiology, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 University of Washington, Center for Studies in Demography and Ecology, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657); University of Washington, Department of Anthropology, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 University of Washington, Department of Global Health, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 University of Washington, Department of Biomedical Informatics and Medical Education, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657); University of Washington, Department of Health Services, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 University of Washington, Department of Medicine, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657); University of Washington, Center for Emerging and Re-Emerging Infectious Diseases, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 University of Washington, Department of Epidemiology, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657); University of Washington, Department of Global Health, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657); University of Washington, Department of Medicine, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657); University of Washington, International Clinical Research Center, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
 University of Washington, Department of Global Health, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657); University of Washington, International Clinical Research Center, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2504628387
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.