zao / covid19-epi

Individual-based epidemiological modeling for COVID-19

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covid19-epi

Individual-based epidemiological modeling for COVID-19.

Accompanies the following paper: Intervention strategies against COVID-19 and their estimated impact on Swedish healthcare capacity. Jasmine M. Gardner, Lander Willem, Wouter van der Wijngaart, Shina Caroline Lynn Kamerlin, Nele Brusselaers, and Peter M. Kasson. doi:10.1101/2020.04.11.20062133

Development was heavily supported by the Swedish National Infrastructure for Computing (SNIC), particularly HPC2N. Particular contributions made by Åke Sandgren and Lars Viklund

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Individual-based epidemiological modeling for COVID-19

License:GNU Lesser General Public License v2.1


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Language:C 49.6%Language:C++ 35.6%Language:Python 8.0%Language:Cuda 4.8%Language:CMake 1.4%Language:Shell 0.4%Language:Makefile 0.3%