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Open Access
Peer-reviewed
Research Article
Mathematical models of drug-resistant tuberculosis lack bacterial heterogeneity: A systematic review
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Naomi M. Fuller ,
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: naomi.fuller@lshtm.ac.uk
Affiliations Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom, Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom, Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Christopher F. McQuaid,
Roles Data curation, Validation, Writing – review & editing
Affiliations Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom, Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom, Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Martin J. Harker,
Roles Data curation, Writing – review & editing
Affiliations Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom, Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom, Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Chathika K. Weerasuriya,
Roles Data curation, Writing – review & editing
Affiliations Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom, Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom, Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Timothy D. McHugh,
Roles Conceptualization, Writing – review & editing
Affiliation UCL Centre for Clinical Microbiology, Division of Infection & Immunity, Royal Free Campus, University College London, London, United Kingdom
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Gwenan M. Knight
Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliations Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom, Antimicrobial Resistance Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom, Tuberculosis Centre, London School of Hygiene and Tropical Medicine, London, United Kingdom
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Mathematical models of drug-resistant tuberculosis lack bacterial heterogeneity: A systematic review
- Naomi M. Fuller,
- Christopher F. McQuaid,
- Martin J. Harker,
- Chathika K. Weerasuriya,
- Timothy D. McHugh,
- Gwenan M. Knight
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- Published: April 10, 2024
- https://doi.org/10.1371/journal.ppat.1011574