A probabilistic graphical model for COVID-19 infection spread through a population based on mutual contacts between pairs of individuals across time as well as test outcomes The C++/Python implementation enables full inference at the scale of millions of contacts between thousands of individuals.
From Kevin Murphy: "I am looking for a good simulator, that can generate (in batch mode) a set of 'realistic' contacts for each user, plus the test diagnostic results for a subset of the population. I have looked into the Oxford OpenABM code and the MPI code (from Bernhard's team), but it seems that it might be easier to use CRISP?"
rherbrich74
commented
4 years ago
From Kevin Murphy: "I am looking for a good simulator, that can generate (in batch mode) a set of 'realistic' contacts for each user, plus the test diagnostic results for a subset of the population. I have looked into the Oxford OpenABM code and the MPI code (from Bernhard's team), but it seems that it might be easier to use CRISP?"