Inference, prediction and optimization of non-pharmaceutical interventions using compartment models: the PyRoss library

19 May 2020R. AdhikariAusten BolithoFernando CaballeroMichael E. CatesJakub DolezalTimothy EkehJules GuiothRobert L. JackJulian KapplerLukas KikuchiHideki KobayashiYuting I. LiJoseph D. PetersonPatrick PietzonkaBenjamin RemezPaul B. RohrbachRajesh SinghGünther Turk

PyRoss is an open-source Python library that offers an integrated platform for inference, prediction and optimisation of NPIs in age- and contact-structured epidemiological compartment models. This report outlines the rationale and functionality of the PyRoss library, with various illustrations and examples focusing on well-mixed, age-structured populations... (read more)

PDF Abstract

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.