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Estimates of epidemiological parameters for H5N1 influenza in humans: a rapid review.

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Title: Estimates of epidemiological parameters for H5N1 influenza in humans: a rapid review.
Authors: Ward J; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. jack.p.ward@warwick.ac.uk., Lambert JW; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK., Russell TW; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.; The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK., Azam JM; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK., Kucharski AJ; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK., Funk S; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK., Quilty BJ; Charité Center for Global Health, Charité Universitätsmedizin Berlin, Berlin, Germany., Gressani O; Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium., Hens N; Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.; Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium., Edmunds WJ; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
Source: BMC infectious diseases [BMC Infect Dis] 2025 Dec 29; Vol. 25 (1), pp. 1755. Date of Electronic Publication: 2025 Dec 29.
Publication Type: Journal Article; Systematic Review
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE
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  Data: Estimates of epidemiological parameters for H5N1 influenza in humans: a rapid review.
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  Data: <searchLink fieldCode="AU" term="%22Ward+J%22">Ward J</searchLink>; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. jack.p.ward@warwick.ac.uk.<br /><searchLink fieldCode="AU" term="%22Lambert+JW%22">Lambert JW</searchLink>; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.<br /><searchLink fieldCode="AU" term="%22Russell+TW%22">Russell TW</searchLink>; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.; The Francis Crick Institute, 1 Midland Road, London, NW1 1AT, UK.<br /><searchLink fieldCode="AU" term="%22Azam+JM%22">Azam JM</searchLink>; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.<br /><searchLink fieldCode="AU" term="%22Kucharski+AJ%22">Kucharski AJ</searchLink>; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.<br /><searchLink fieldCode="AU" term="%22Funk+S%22">Funk S</searchLink>; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.<br /><searchLink fieldCode="AU" term="%22Quilty+BJ%22">Quilty BJ</searchLink>; Charité Center for Global Health, Charité Universitätsmedizin Berlin, Berlin, Germany.<br /><searchLink fieldCode="AU" term="%22Gressani+O%22">Gressani O</searchLink>; Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.<br /><searchLink fieldCode="AU" term="%22Hens+N%22">Hens N</searchLink>; Data Science Institute, I-BioStat, Hasselt University, Hasselt, Belgium.; Centre for Health Economic Research and Modelling Infectious Diseases, Vaccine and Infectious Disease Institute, University of Antwerp, Antwerp, Belgium.<br /><searchLink fieldCode="AU" term="%22Edmunds+WJ%22">Edmunds WJ</searchLink>; Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.
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  Data: <searchLink fieldCode="JN" term="%22100968551%22">BMC infectious diseases</searchLink> [BMC Infect Dis] 2025 Dec 29; Vol. 25 (1), pp. 1755. <i>Date of Electronic Publication: </i>2025 Dec 29.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22BioMed+Central%22">BioMed Central </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968551 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1471-2334 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2214712334%22">14712334 </searchLink><i>NLM ISO Abbreviation: </i>BMC Infect Dis <i>Subsets: </i>MEDLINE
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              Text: 2025 Dec 29
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