Journal
JOURNAL OF THE ROYAL SOCIETY INTERFACE
Volume 10, Issue 86, Pages -Publisher
ROYAL SOC
DOI: 10.1098/rsif.2013.0414
Keywords
dengue; infectious disease modelling; cross-protection; time-series models
Categories
Funding
- National Institute of General Medical Sciences [R01GM090204, 1U54GM088491-0109]
- Bill and Melinda Gates Foundation Vaccine Modeling Initiative
- RAPIDD program of the Science and Technology Directorate, Department of Homeland Security
- Fogarty International Center, National Institutes of Health
- National Oceanic and Atmospheric Administration [NA08NOS4730321]
Ask authors/readers for more resources
Dengue, a mosquito-borne virus of humans, infects over 50 million people annually. Infection with any of the four dengue serotypes induces protective immunity to that serotype, but does not confer long-term protection against infection by other serotypes. The immunological interactions between serotypes are of central importance in understanding epidemiological dynamics and anticipating the impact of dengue vaccines. We analysed a 38-year time series with 12 197 serotyped dengue infections from a hospital in Bangkok, Thailand. Using novel mechanistic models to represent different hypothesized immune interactions between serotypes, we found strong evidence that infection with dengue provides substantial short-term cross-protection against other serotypes (approx. 1-3 years). This is the first quantitative evidence that short-term cross-protection exists since human experimental infection studies performed in the 1950s. These findings will impact strategies for designing dengue vaccine studies, future multi-strain modelling efforts, and our understanding of evolutionary pressures in multi-strain disease systems.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available