Highest scientific quality and dedication to improving public health
Inclusivity, diversity and integrity
Open science best practices, including data, model, software, and workflow sharing
Applying existing and establishing new modeling methods
Creating custom modeling software, often highly specific to research objectives
Using observational, real-world data, often not primarily collected for research purposes
Studying infectious disease dynamics relevant to human health
Studying infectious disease dynamics at all biological scales, from molecularto population-level
Global geographical scope
Multidisciplinary collaborations, including (but not limited to): epidemiologists, statisticians, clinicians, public health practitioners, climate scientists, demographers, ecologists, mathematicians, geographers, molecular biologists, virologists, microbiologists, and others
Collaboration for model development, testing, and application
Translating modeling research into software and data resources for the global community
Translating research findings into public health policy and action through collaboration with public health stakeholders
Commitment to supporting infectious disease modeling research and practice in low resource settings
Curriculum development
In-person and online workshops and webinars
Tutorials
Exchanges and internships
Field placements and fellowships
Conferences targeting specific groups of scientists, practitioners, or students
MIDAS Coordination Center
University of Pittsburgh
A737 Public Health
130 DeSoto Street
Pittsburgh PA 15261