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Found 2 papers, 2 papers with code
Structural identifiability analysis of epidemic models based on differential equations: A tutorial-based primer
We show that the lack of structural identifiability may be remedied by incorporating additional observations from different model states, assuming that the system's initial conditions are known, using prior information to fix some parameters involved in parameter correlations, or modifying the model based on existing parameter correlations.
A large-scale COVID-19 Twitter chatter dataset for open scientific research -- an international collaboration
As the COVID-19 pandemic continues its march around the world, an unprecedented amount of open data is being generated for genetics and epidemiological research.
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