Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections.
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| Title: | Machine learning forecasting for COVID-19 pandemic-associated effects on paediatric respiratory infections. |
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| Authors: | Bowyer SA; Great Ormond Street Hospital for Children, London, UK.; NIHR GOSH Biomedical Research Centre, London, UK., Bryant WA; Great Ormond Street Hospital for Children, London, UK.; NIHR GOSH Biomedical Research Centre, London, UK., Key D; Great Ormond Street Hospital for Children, London, UK.; NIHR GOSH Biomedical Research Centre, London, UK., Booth J; Great Ormond Street Hospital for Children, London, UK.; NIHR GOSH Biomedical Research Centre, London, UK., Briggs L; Great Ormond Street Hospital for Children, London, UK.; NIHR GOSH Biomedical Research Centre, London, UK., Spiridou A; Great Ormond Street Hospital for Children, London, UK.; NIHR GOSH Biomedical Research Centre, London, UK., Cortina-Borja M; Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK., Davies G; Great Ormond Street Hospital for Children, London, UK.; Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK., Taylor AM; Great Ormond Street Hospital for Children, London, UK.; UCL Institute of Cardiovascular Science, London, UK., Sebire NJ; Great Ormond Street Hospital for Children, London, UK n.sebire@ucl.ac.uk.; NIHR GOSH Biomedical Research Centre, London, UK.; Population, Policy and Practice Research and Teaching Department, UCL Great Ormond Street Institute of Child Health, London, UK. |
| Source: | Archives of disease in childhood [Arch Dis Child] 2022 Dec; Vol. 107 (12), pp. e36. Date of Electronic Publication: 2022 Aug 10. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: BMJ Pub. Group [etc.] Country of Publication: England NLM ID: 0372434 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1468-2044 (Electronic) Linking ISSN: 00039888 NLM ISO Abbreviation: Arch Dis Child Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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