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Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance data.

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Bibliographic Details
Title: Inferring temporal trends of multiple pathogens, variants, subtypes or serotypes from routine surveillance data.
Authors: Eales O; Infectious Disease Dynamics Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.; School of Mathematics and Statistics, The University of Melbourne, Parkville, Australia., Windecker SM; Infectious Disease Ecology and Modelling, The Kids Research Institute, Perth, Australia., McCaw JM; Infectious Disease Dynamics Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.; School of Mathematics and Statistics, The University of Melbourne, Parkville, Australia., Shearer FM; Infectious Disease Dynamics Unit, Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Australia.; Infectious Disease Ecology and Modelling, The Kids Research Institute, Perth, Australia.
Source: American journal of epidemiology [Am J Epidemiol] 2025 Sep 03; Vol. 194 (9), pp. 2489-2498.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: United States NLM ID: 7910653 Publication Model: Print Cited Medium: Internet ISSN: 1476-6256 (Electronic) Linking ISSN: 00029262 NLM ISO Abbreviation: Am J Epidemiol Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1476-6256
DOI:10.1093/aje/kwaf119