Interpreting Breakthrough Infections Given Assortative Mixing of Partially Vaccinated Populations.

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Bibliographic Details
Title: Interpreting Breakthrough Infections Given Assortative Mixing of Partially Vaccinated Populations.
Authors: Harris MJ; Department of Biology, University of Maryland, College Park, Maryland, USA.; University of Maryland Institute for Health Computing, North Bethesda, Maryland, USA., Arani A; Department of Biology, University of Maryland, College Park, Maryland, USA., Goel T; Department of Biology, University of Maryland, College Park, Maryland, USA., Zhang K; Department of Mathematics, University of Maryland, College Park, Maryland, USA., Beckett SJ; Department of Biology, University of Maryland, College Park, Maryland, USA.; University of Maryland Institute for Health Computing, North Bethesda, Maryland, USA., Lo NC; Division of Infectious Diseases and Geographic Medicine, Department of Medicine, Stanford University, Stanford, California, USA., Dushoff J; Department of Biology, McMaster University, Hamilton, Ontario, Canada.; Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada.; M. G. DeGroote Institute for Infectious Disease Research, McMaster University, Hamilton, Ontario, Canada., Weitz JS; Department of Biology, University of Maryland, College Park, Maryland, USA.; University of Maryland Institute for Health Computing, North Bethesda, Maryland, USA.; Department of Physics, University of Maryland, College Park, Maryland, USA.
Source: MedRxiv : the preprint server for health sciences [medRxiv] 2026 Jan 23. Date of Electronic Publication: 2026 Jan 23.
Publication Type: Journal Article; Preprint
Journal Info: Country of Publication: United States NLM ID: 101767986 Publication Model: Electronic Cited Medium: Internet NLM ISO Abbreviation: medRxiv Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
DOI:10.64898/2026.01.22.26344544