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    • AGED
    • Dengue Spatial Clustering
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    • Interacting Pathogens
    • MIDAS
    • Modeling Zika Risk
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  • Interacting Pathogens

Interacting Pathogens

Interacting Pathogens

Inference for interacting pathogens with mechanistic and phenomenological models

Complex immunological interactions between multiple strains of disease, such as short-term immunity or cross-protection, govern the evolutionary and epidemiological dynamics of disease. Understanding these interactions plays a vital role in clinical and public health decision-making and advances our understanding of the mechanisms of disease transmission and progression at the individual and population levels. This project aims to develop and fit (1) a three-pathogen interaction model to influenza A, influenza B, and RSV surveillance data and (2) a four-pathogen interaction model to dengue surveillance data to estimate the duration and strength of cross-protection and enhancement between these pathogens and between the four serotypes of dengue. We are also developing and implementing a statistical framework for comparing inferences from mechanistic and phenomenological models of multiple interacting time series. This work will provide the first explicit estimates of cross-protection between influenza A, influenza B, and RSV, and the first explicit estimates of immune enhancement between the four serotypes of dengue. Methods developed in the course of this work will be freely disseminated as R software packages (more info to come).

Principal Investigator

Derek Cummings Professor

Funders

National Institute of Allergy and Infectious Disease

Collaborators

University of Massachusetts Amherst

Contact

Tel: +1 352-273-6555

Email: info [at] ufiddynamics.org

Infectious Disease Dynamics Group
c/o Derek Cummings
University of Florida
Department of Biology
P.O. Box 118525
Gainesville, FL 32611

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