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Full-Text Articles in Viruses
Time-Varying, Serotype-Specific Force Of Infection Of Dengue Virus, Kanya C. Long, Robert C. Reiner, Steven T. Stoddard, Brett M. Froshey, Aaron A. King, Alicia M. Ellis, Alun L. Lloyd, Claudio Rocha, Stalin Vilcarromero, Helvio Astete, Isabel Bazan, Audrey Lenhart, Gonzalo M. Vazquez-Prokopec, Valerie A. Paz-Soldan, Phlip J. Mccall, Uriel Kitron, John P. Elder, Eric S. Halsey, Amy C. Morrison, Tadeusz J. Kochel, Thomas W. Scott
Time-Varying, Serotype-Specific Force Of Infection Of Dengue Virus, Kanya C. Long, Robert C. Reiner, Steven T. Stoddard, Brett M. Froshey, Aaron A. King, Alicia M. Ellis, Alun L. Lloyd, Claudio Rocha, Stalin Vilcarromero, Helvio Astete, Isabel Bazan, Audrey Lenhart, Gonzalo M. Vazquez-Prokopec, Valerie A. Paz-Soldan, Phlip J. Mccall, Uriel Kitron, John P. Elder, Eric S. Halsey, Amy C. Morrison, Tadeusz J. Kochel, Thomas W. Scott
Faculty Publications
Infectious disease models play a key role in public health planning. These models rely on accurate estimates of key transmission parameters such as the force of infection (FoI), which is the percapita risk of a susceptible person being infected. The FoI captures the fundamental dynamics of transmission and is crucial for gauging control efforts, such as identifying vaccination targets. Dengue virus (DENV) is a mosquito-borne, multiserotype pathogen that currently infects ∼390 million people a year. Existing estimates of the DENV FoI are inaccurate because they rely on the unrealistic assumption that risk is constant over time. Dengue models are thus …