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A dynamic microsimulation model for epidemics

Bibliographic Data

ID4602295
AuthorsFrank Spooner (0000-0001-6640-8621), Jesse F Abrams (0000-0003-0411-8519, University of Exeter), Karyn Morrissey (0000-0001-7259-1047, Technical University of Denmark), Gavin Shaddick (0000-0002-4117-4264, The Alan Turing Institute), Michael Batty (0000-0002-9931-1305, University College London), Rebecca Milton (0000-0003-4135-094X, University College London), Adam Dennett (0000-0001-8036-0185, University College London), Nik Lomax (0000-0001-9504-7570, The Alan Turing Institute), Nicolas Malleson (0000-0002-6977-0615, The Alan Turing Institute), Nick Malleson, Natalie Nelissen (0000-0002-2455-8143, The Alan Turing Institute), Alex Coleman (0000-0001-7723-3222, University of Leeds), Jamil Nur (0000-0002-7133-4046, University of Cambridge), Ying Jin (0000-0002-1316-7323, University of Cambridge), Robert Greig (0000-0001-5795-9720), Charlie Shenton (0009-0003-3559-8639), M Birkin (0000-0001-5991-098X, The Alan Turing Institute, corresponding author)
Year2021
Volume291
Pages114461
Publication date2021-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSocial Science & Medicine (JOURNAL)
Journal identifiersISSN: 0277-9536 • E-ISSN: 1873-5347
PublisherElsevier BV (PUBLISHER)
DOI10.1016/j.socscimed.2021.114461
PMID34717286
OpenAlexW3207215952
LanguageEN
Citations received11
References cited30

Coronavirus disease 2019 (COVID-19 · Econometrics · Economics · Flexibility (engineering · General partnership · Geography · Microsimulation · Psychological intervention · Public economics · Regional science · Computer Science · COVID-19 epidemiological studies · demographic modeling and climate adaptation · Engineering · Health disparities and outcomes · Medicine

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Unique citing works11
Citations per year2,75
Citation span2022 - 2025 (4)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 11

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