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The approach is based on evaluating a high-fidelity model on a small number of samples properly selected from a large number of evaluations of a low-fidelity model. In particular, we will consider the class of multiscale transport models recently introduced in [&lt;xref ref-type=\"bibr\" rid=\"b13\"&gt;13&lt;\/xref&gt;,&lt;xref ref-type=\"bibr\" rid=\"b7\"&gt;7&lt;\/xref&gt;] as the high-fidelity reference and use simple two-velocity discrete models for low-fidelity evaluations. Both models share the same diffusive behavior and are solved with ad-hoc asymptotic-preserving numerical discretizations. A series of numerical experiments confirm the validity of the approach.&lt;\/p&gt;<\/jats:p>","DOI":"10.3934\/nhm.2022013","type":"journal-article","created":{"date-parts":[[2022,3,29]],"date-time":"2022-03-29T11:44:20Z","timestamp":1648554260000},"page":"401","source":"Crossref","is-referenced-by-count":12,"title":["Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties"],"prefix":"10.3934","volume":"17","author":[{"given":"Giulia","family":"Bertaglia","sequence":"first","affiliation":[{"name":"Istituto Nazionale di Alta Matematica \"Francesco Severi\" (INdAM), 00185 Roma, Italy"},{"name":"Department of Mathematics and Computer Science, University of Ferrara, 44121 Ferrara, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Liu","sequence":"additional","affiliation":[{"name":"Department of Mathematics, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lorenzo","family":"Pareschi","sequence":"additional","affiliation":[{"name":"Department of Mathematics and Computer Science, University of Ferrara, 44121 Ferrara, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xueyu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Iowa, Iowa City, IA 52242, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"2321","reference":[{"key":"key-10.3934\/nhm.2022013-1","doi-asserted-by":"publisher","unstructured":"P. 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