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

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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
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  Data: <searchLink fieldCode="AU" term="%22Eales+O%22">Eales O</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Windecker+SM%22">Windecker SM</searchLink>; Infectious Disease Ecology and Modelling, The Kids Research Institute, Perth, Australia.<br /><searchLink fieldCode="AU" term="%22McCaw+JM%22">McCaw JM</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Shearer+FM%22">Shearer FM</searchLink>; 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.
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  Data: <searchLink fieldCode="JN" term="%227910653%22">American journal of epidemiology</searchLink> [Am J Epidemiol] 2025 Sep 03; Vol. 194 (9), pp. 2489-2498.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>7910653 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1476-6256 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2200029262%22">00029262 </searchLink><i>NLM ISO Abbreviation: </i>Am J Epidemiol <i>Subsets: </i>MEDLINE
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        Value: 10.1093/aje/kwaf119
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      – Code: eng
        Text: English
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              Text: 2025 Sep 03
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