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Data-driven computational disease spread modeling: from measurement to parametrization and control
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Scientific Computing. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computational Science.
2017 (English)In: Disease Modelling and Public Health: Part A, Elsevier, 2017, p. 305-328Chapter in book (Refereed)
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Elsevier, 2017. p. 305-328
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Handbook of Statistics ; 36
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Computer Sciences Public Health, Global Health, Social Medicine and Epidemiology
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URN: urn:nbn:se:uu:diva-331834DOI: 10.1016/bs.host.2017.05.005ISBN: 978-0-444-63968-4 (print)OAI: oai:DiVA.org:uu-331834DiVA, id: diva2:1150354
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eSSENCEAvailable from: 2017-09-04 Created: 2017-10-18 Last updated: 2018-01-13Bibliographically approved

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Engblom, Stefan

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