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Open Access
Peer-reviewed
Research Article
Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemics
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Christopher I. Jarvis ,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft, Writing – review & editing
* E-mail: christopher.jarvis@lshtm.ac.uk
Affiliations Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
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Amy Gimma,
Roles Formal analysis, Investigation, Methodology, Software, Validation, Visualization, Writing – original draft
Affiliations Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
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Flavio Finger,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Writing – review & editing
Affiliations Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom, Epicentre, Paris, France
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Tim P. Morris,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation, Writing – review & editing
Affiliation MRC Clinical Trials Unit at UCL, London, United Kingdom
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Jennifer A. Thompson,
Roles Conceptualization, Formal analysis, Investigation, Methodology, Validation, Writing – review & editing
Affiliation Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom
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Olivier le Polain de Waroux,
Roles Conceptualization, Investigation, Methodology, Validation, Writing – review & editing
Affiliation Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
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W. John Edmunds,
Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Supervision, Writing – review & editing
Affiliations Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
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Sebastian Funk,
Roles Conceptualization, Formal analysis, Methodology, Supervision, Validation, Writing – review & editing
Affiliations Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom
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Thibaut Jombart
Roles Conceptualization, Formal analysis, Investigation, Methodology, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing
Affiliations Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, United Kingdom, Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom, MRC Centre for Global Infectious Disease Analysis, Department of Infectious Disease Epidemiology, School of Public Health, Imperial College London, London, United Kingdom, UK Public Health Rapid Support Team, London, United Kingdom
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Measuring the unknown: An estimator and simulation study for assessing case reporting during epidemics
- Christopher I. Jarvis,
- Amy Gimma,
- Flavio Finger,
- Tim P. Morris,
- Jennifer A. Thompson,
- Olivier le Polain de Waroux,
- W. John Edmunds,
- Sebastian Funk,
- Thibaut Jombart
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- Published: May 23, 2022
- https://doi.org/10.1371/journal.pcbi.1008800