Show HN: Epidemik a Python package for epidemic simulation
2 by Anon84 | 0 comments on Hacker News.
Hi everyone, I'm happy to share `epidemik`, a Python package for epidemic modeling. Epidemik, currently supports: - Homogeneously mixed Model: Easily define compartmental models by just specifying the transitions and rates - Age Structure: Convert any compartmental model to an age-structured model by simply adding an age contact matrix and a the population of each age group - Network Model: Easily define epidemic models running over an arbitrary network structure - Meta-Population Models: Define metapopulation model In a previous life (circa 2008-2012), I worked as the leading developer for a large-scale epidemic model so when CoVID hit I wrote a series of blog posts (see https://ift.tt/fRmAQrT ) working through the mechanics of how this kind of model works. Epidemik is the result of all the code that got written during the lockdowns, and in the years since that, I finally cleaned up and decided to publish it in case others find it useful (perhaps as a teaching tool?) This is my first package, so feedback, comments and suggestions are definitely welcome.
2 by Anon84 | 0 comments on Hacker News.
Hi everyone, I'm happy to share `epidemik`, a Python package for epidemic modeling. Epidemik, currently supports: - Homogeneously mixed Model: Easily define compartmental models by just specifying the transitions and rates - Age Structure: Convert any compartmental model to an age-structured model by simply adding an age contact matrix and a the population of each age group - Network Model: Easily define epidemic models running over an arbitrary network structure - Meta-Population Models: Define metapopulation model In a previous life (circa 2008-2012), I worked as the leading developer for a large-scale epidemic model so when CoVID hit I wrote a series of blog posts (see https://ift.tt/fRmAQrT ) working through the mechanics of how this kind of model works. Epidemik is the result of all the code that got written during the lockdowns, and in the years since that, I finally cleaned up and decided to publish it in case others find it useful (perhaps as a teaching tool?) This is my first package, so feedback, comments and suggestions are definitely welcome.