Supporting public health with
multi-disciplinary research
what we do
The Center for Inference and Dynamics of Infectious Diseases (CIDID) provides national and international leadership in computational, statistical, and mathematical research, education and outreach, and public health policy related to infectious diseases and interventions.
CIDID is a Center of Excellence of The Models of Infectious Disease Agents (MIDAS), an NIH funded collaborative network.
The Center revolves around 4 major scientific research projects, one software development component, and one policy studies component.
Recent publications
who we are
CIDID is a highly synergistic and interdisciplinary effort between statisticians, mathematical epidemiologists, computational modelers, ecologists, and computer scientists.
The Center includes 24 core faculty at eight participating institutions and additional faculty affiliates, and is led by M. Elizabeth Halloran.
CIDID Seminar recordings
Predicting strain interactions and success with genomic data: approaches from modelling and machine learning
Virus-inclusive single cell RNA sequencing reveals the molecular signature of dengue virus infection in cell lines and human blood
Viral transmission during outbreaks: genomic analysis of Ebola, Zika, and mumps viruses
Field- and clinically derived estimates of Wolbachia-mediated blocking of dengue virus transmission potential in Aedes aegypti mosquitoes
Connecting serological data and antigenic maps of dengue virusesto protection and disease severity
The interplay of selective bottlenecks and random chance during avian influenza virus evolution in mammals
Exploring the dynamics of influenza virus evolution, selection, and host adaptive immunity
Passing through: the role of transmission bottlenecks in influenza virus host adaptation