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Quantifying the effectiveness of betaherpesvirus-vectored transmissible vaccines.
- Source :
-
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2022 Jan 25; Vol. 119 (4). - Publication Year :
- 2022
-
Abstract
- Transmissible vaccines have the potential to revolutionize how zoonotic pathogens are controlled within wildlife reservoirs. A key challenge that must be overcome is identifying viral vectors that can rapidly spread immunity through a reservoir population. Because they are broadly distributed taxonomically, species specific, and stable to genetic manipulation, betaherpesviruses are leading candidates for use as transmissible vaccine vectors. Here we evaluate the likely effectiveness of betaherpesvirus-vectored transmissible vaccines by developing and parameterizing a mathematical model using data from captive and free-living mouse populations infected with murine cytomegalovirus (MCMV). Simulations of our parameterized model demonstrate rapid and effective control for a range of pathogens, with pathogen elimination frequently occurring within a year of vaccine introduction. Our results also suggest, however, that the effectiveness of transmissible vaccines may vary across reservoir populations and with respect to the specific vector strain used to construct the vaccine.<br />Competing Interests: The authors declare no competing interest.<br /> (Copyright © 2022 the Author(s). Published by PNAS.)
- Subjects :
- Algorithms
Animal Diseases prevention & control
Animal Diseases transmission
Animal Diseases virology
Animals
Bayes Theorem
Disease Reservoirs
Disease Vectors
Genetic Vectors immunology
Herpesviridae Infections veterinary
Mice
Muromegalovirus
Nucleic Acid-Based Vaccines genetics
Prevalence
Vaccines genetics
Betaherpesvirinae genetics
Genetic Vectors genetics
Immunogenicity, Vaccine
Models, Theoretical
Nucleic Acid-Based Vaccines immunology
Vaccines immunology
Subjects
Details
- Language :
- English
- ISSN :
- 1091-6490
- Volume :
- 119
- Issue :
- 4
- Database :
- MEDLINE
- Journal :
- Proceedings of the National Academy of Sciences of the United States of America
- Publication Type :
- Academic Journal
- Accession number :
- 35046024
- Full Text :
- https://doi.org/10.1073/pnas.2108610119