Jobie Budd

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Deenan PillayVerified email at africacentre.ac.za
Anne M JohnsonProfessor of epidemiology UCLVerified email at ucl.ac.uk
Vasileios LamposUniversity College LondonVerified email at ucl.ac.uk
Mengdie ZhuangUniversity of SheffieldVerified email at sheffield.ac.uk
Molly StevensProfessor of Biomedical Materials and Regenerative Medicine and the Research Director for Biomedical Material Sciences Verified email at imperial.ac.uk
Vincent EmeryUniversity of Hertfordshire (Egypt campus)Verified email at gaf.edu.eg
Neil KeeganNewcastle UniversityVerified email at newcastle.ac.uk
Ingemar J. CoxDepartment of Computer Science, University College London / University of CopenhagenVerified email at ucl.ac.uk
Ed ManleyProfessor of Urban Analytics, University of LeedsVerified email at leeds.ac.uk
Benjamin S. MillerHarvard University, University College LondonVerified email at ucl.ac.uk
Michael EdelsteinBar Ilan UniversityVerified email at biu.ac.il
Geraint ReesInstitute of Cognitive Neuroscience, University College LondonVerified email at ucl.ac.uk
Kobus HerbstAfrica Health Research InstituteVerified email at ahri.org
Tivani Phosa Mashamba-ThompsonProfessor of Diagnostics Research&Deputy Dean of Research and Postgraduate Studies, Faculty ofVerified email at up.ac.za
Christopher S. WoodFHNW - NordwestschweizVerified email at fhnw.ch
Michael R ThomasLecturer in Bionanotechnology and Biochemical Engineering at University College LondonVerified email at ucl.ac.uk
Björn SchullerProfessor, Technische Universität München (TUM) / Imperial College London & CSO, audEERINGVerified email at tum.de
Steven GilmourKing's College LondonVerified email at kcl.ac.uk
Chris HolmesVerified email at stats.ox.ac.uk
Stephen RobertsProfessor of Engineering Science (Machine Learning, Information Engineering), University of OxfordVerified email at robots.ox.ac.uk

Jobie Budd

University College London

Verified email at ucl.ac.uk - Homepage

Digital Epidemiology Medical AI Diagnostics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Digital technologies in the public-health response to COVID-19 J Budd, BS Miller, EM Manning, V Lampos, M Zhuang, M Edelstein, ... Nature medicine 26 (8), 1183-1192, 2020	1227	2020
Taking connected mobile-health diagnostics of infectious diseases to the field CS Wood, MR Thomas, J Budd, TP Mashamba-Thompson, K Herbst, ... Nature 566 (7745), 467-474, 2019	348	2019
Lateral flow test engineering and lessons learned from COVID-19 J Budd, BS Miller, NE Weckman, D Cherkaoui, D Huang, AT Decruz, ... Nature Reviews Bioengineering 1 (1), 13-31, 2023	124	2023
Deep learning of HIV field-based rapid tests V Turbé, C Herbst, T Mngomezulu, S Meshkinfamfard, N Dlamini, ... Nature medicine 27 (7), 1165-1170, 2021	84	2021
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers H Coppock, G Nicholson, I Kiskin, V Koutra, K Baker, J Budd, R Payne, ... Nature Machine Intelligence 6 (2), 229-242, 2024	16	2024
A large-scale and PCR-referenced vocal audio dataset for COVID-19 J Budd, K Baker, E Karoune, H Coppock, S Patel, R Payne, ... Scientific Data 11 (1), 700, 2024	5	2024
Assessing the Performance of Machine Learning Methods Trained on Public Health Observational Data: A Case Study From COVID‐19 D Pigoli, K Baker, J Budd, L Butler, H Coppock, S Egglestone, SG Gilmour, ... Statistics in Medicine, 2024	3*	2024
Go local: The key to controlling the COVID-19 pandemic in the post lockdown era I Bennett, J Budd, EM Manning, ED Manley, M Zhuang, IJ Cox, M Short, ... arXiv preprint arXiv:2007.02603, 2020	1	2020
Investigating inequalities in patient outcomes for first episode psychosis D Nicholls, J Budd, P Nunn, P French, J Smith, V Gupta, J Holdship, ... Available at SSRN 4635268, 2023		2023
Digital technologies for the diagnosis and public health management of respiratory pathogens: lessons learned from COVID-19 JN Budd UCL (University College London), 2023		2023

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