4.5 Article

Projected Impact of Dengue Vaccination in Yucatan, Mexico

期刊

PLOS NEGLECTED TROPICAL DISEASES
卷 10, 期 5, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pntd.0004661

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资金

  1. Dengue Vaccine Initiative Grant
  2. National Institutes of Health/National Institute of Allergy and Infectious Diseases [R37 AI32042]
  3. Models of Infectious Disease Agent Study (MIDAS) Center Grant (National Institutes of Health/National Institute of General Medical Sciences) [U54 GM111274]
  4. Sanofi Pasteur Laboratories
  5. Research and Policy on Infectious Disease Dynamics (RAPIDD) Program of the Fogarty International Center, National Institutes of Health
  6. Science and Technology Directorate, Department of Homeland Security
  7. Fulbright-Colciencias doctoral scholarship
  8. Intelligence Community Postdoctoral Research Fellowship Program through Office of the Director of National Intelligence
  9. University of Florida Research Computing

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Dengue vaccines will soon provide a new tool for reducing dengue disease, but the effectiveness of widespread vaccination campaigns has not yet been determined. We developed an agent-based dengue model representing movement of and transmission dynamics among people and mosquitoes in Yucatan, Mexico, and simulated various vaccine scenarios to evaluate effectiveness under those conditions. This model includes detailed spatial representation of the Yucatan population, including the location and movement of 1.8 million people between 375,000 households and 100,000 workplaces and schools. Where possible, we designed the model to use data sources with international coverage, to simplify reparameterization for other regions. The simulation and analysis integrate 35 years of mild and severe case data (including dengue serotype when available), results of a seroprevalence survey, satellite imagery, and climatological, census, and economic data. To fit model parameters that are not directly informed by available data, such as disease reporting rates and dengue transmission parameters, we developed a parameter estimation toolkit called AbcSmc, which we have made publicly available. After fitting the simulation model to dengue case data, we forecasted transmission and assessed the relative effectiveness of several vaccination strategies over a 20 year period. Vaccine efficacy is based on phase III trial results for the Sanofi-Pasteur vaccine, Dengvaxia. We consider routine vaccination of 2, 9, or 16 year-olds, with and without a one-time catch-up campaign to age 30. Because the durability of Dengvaxia is not yet established, we consider hypothetical vaccines that confer either durable or waning immunity, and we evaluate the use of booster doses to counter waning. We find that plausible vaccination scenarios with a durable vaccine reduce annual dengue incidence by as much as 80% within five years. However, if vaccine efficacy wanes after administration, we find that there can be years with larger epidemics than would occur without any vaccination, and that vaccine booster doses are necessary to prevent this outcome.

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