lisphilar/covid19-sir
CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.
This tool helps epidemiologists, public health researchers, and policymakers analyze the spread of infectious diseases like COVID-19 and Monkeypox. You input real-world case data (confirmed, recovered, fatal cases) and it outputs predictions, scenario analyses, and insights into how measures impact disease progression. This allows users to monitor disease spread, predict future case numbers, and understand the effectiveness of interventions.
111 stars.
Use this if you need to model infectious disease dynamics, predict case numbers, or analyze the impact of public health measures using SIR-derived models.
Not ideal if you need to perform molecular epidemiology, genetic sequencing analysis, or real-time outbreak detection from non-aggregate data.
Stars
111
Forks
44
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
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