A statistical framework for comparing epidemic forests.

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Title: A statistical framework for comparing epidemic forests.
Authors: Geismar C; MRC Centre for Global Infectious Disease Analysis, Imperial College School of Public Health, London, United Kingdom.; Bloomberg School of Public Health, Johns Hopkins University, Baltimore,‌‌ United States of America.; NIHR Health Protection Research Unit in Modelling and Health Economics,‌‌ Imperial College School of Public Health, London, United Kingdom., White PJ; MRC Centre for Global Infectious Disease Analysis, Imperial College School of Public Health, London, United Kingdom.; NIHR Health Protection Research Unit in Modelling and Health Economics,‌‌ Imperial College School of Public Health, London, United Kingdom., Cori A; MRC Centre for Global Infectious Disease Analysis, Imperial College School of Public Health, London, United Kingdom.; NIHR Health Protection Research Unit in Modelling and Health Economics,‌‌ Imperial College School of Public Health, London, United Kingdom., Jombart T; MRC Centre for Global Infectious Disease Analysis, Imperial College School of Public Health, London, United Kingdom.; NIHR Health Protection Research Unit in Modelling and Health Economics,‌‌ Imperial College School of Public Health, London, United Kingdom.
Source: PLoS computational biology [PLoS Comput Biol] 2026 Jun 01; Vol. 22 (6), pp. e1014271. Date of Electronic Publication: 2026 Jun 01 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1553-7358
DOI:10.1371/journal.pcbi.1014271