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Open Access
Peer-reviewed
Research Article
Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections: Risk prediction models to tackle antimicrobial resistance in primary care
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Ali Fahmi ,
Roles Data curation, Formal analysis, Methodology, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: ali.fahmi@manchester.ac.uk
Affiliation Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, the University of Manchester, Manchester, United Kingdom
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Victoria Palin,
Roles Data curation, Methodology
Affiliations Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, the University of Manchester, Manchester, United Kingdom, Maternal and Fetal Health Research Centre, Division of Developmental Biology and Medicine, the University of Manchester, Manchester, United Kingdom
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Xiaomin Zhong,
Roles Data curation, Formal analysis
Affiliation Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, the University of Manchester, Manchester, United Kingdom
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Ya-Ting Yang,
Roles Data curation, Formal analysis
Affiliation Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, the University of Manchester, Manchester, United Kingdom
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Simon Watts,
Roles Resources
Affiliation North West Ambulance Service, Manchester NHS Foundation Trust, Manchester, United Kingdom
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Darren M. Ashcroft,
Roles Writing – review & editing
Affiliations Centre for Pharmacoepidemiology and Drug Safety, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom, NIHR Greater Manchester Patient Safety Translational Research Centre, Faculty of Biology, Medicine and Health, School of Health Sciences, University of Manchester, Manchester, United Kingdom
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Ben Goldacre,
Roles Resources
Affiliation Nuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford, United Kingdom
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Brian MacKenna,
Roles Resources
Affiliation Nuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford, United Kingdom
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Louis Fisher,
Roles Resources
Affiliation Nuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford, United Kingdom
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Jon Massey,
Roles Data curation, Resources
Affiliation Nuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford, United Kingdom
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Amir Mehrkar,
Roles Resources
Affiliation Nuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford, United Kingdom
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Seb Bacon,
Roles Resources
Affiliation Nuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford, United Kingdom
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the OpenSAFELY Collaborative,
Affiliation Nuffield Department of Primary Care Health Sciences, Bennett Institute for Applied Data Science, University of Oxford, Oxford, United Kingdom
⨯ - Kieran Hand,
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Tjeerd Pieter van Staa
Roles Conceptualization, Funding acquisition, Methodology, Project administration, Supervision, Writing – original draft, Writing – review & editing
Affiliation Centre for Health Informatics, Faculty of Biology, Medicine and Health, School of Health Sciences, the University of Manchester, Manchester, United Kingdom
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Evaluation of the impact of COVID-19 pandemic on hospital admission related to common infections: Risk prediction models to tackle antimicrobial resistance in primary care
- Ali Fahmi,
- Victoria Palin,
- Xiaomin Zhong,
- Ya-Ting Yang,
- Simon Watts,
- Darren M. Ashcroft,
- Ben Goldacre,
- Brian MacKenna,
- Louis Fisher,
- Jon Massey
- Published: December 31, 2024
- https://doi.org/10.1371/journal.pone.0311515