UQ_covid19

Gugole, Federica; Coffeng, Luc; Edeling, Wouter; Sanderse, Benjamin; de Vlas, Sake; Crommelin, Daan

This repository contains the Python and R codes used for the paper titled: Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model.

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Organisation	Scientific Computing
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Gugole, F., Coffeng, L., Edeling, W., Sanderse, B., de Vlas, S., & Crommelin, D. (2020). UQ_covid19.

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article Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model F. Gugole (Federica), L.E. Coffeng (Luc), W.N. Edeling (Wouter), B. Sanderse (Benjamin), S.J. de Vlas (Sake) and D.T. Crommelin (Daan)

UQ_covid19

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Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model

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UQ_covid19

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Uncertainty quantification and sensitivity analysis of COVID-19 exit strategies in an individual-based transmission model