Publications
Selected publications
- Simulation to optimize the laboratory diagnosis of bacteremia. (Journal article - 2024)
- AIgarMIC: a Python package for automated interpretation of agar dilution minimum inhibitory concentration assays (Journal article - 2024)
- Determination of minimum inhibitory concentrations using machine-learning-assisted agar dilution. (Journal article - 2024)
- ChatGPT and antimicrobial advice: the end of the consulting infection doctor? (Journal article - 2023)
2025
Whole genome sequencing data for 762 clinical Escherichia coli strains with antimicrobial susceptibility meta data
Gerada, A., Harper, N., & Hope, W. (2017, January 1). Whole genome sequencing data for 762 clinical Escherichia coli strains with antimicrobial susceptibility meta data. Liverpool, UK.
Author Correction: Combining antibiotics to tackle antimicrobial resistance.
Hope, W., Nambiar, S., O'Brien, S., Sharland, M., Paterson, D. L., Yin, M., . . . Pre-X Investigators. (2025). Author Correction: Combining antibiotics to tackle antimicrobial resistance.. Nature microbiology. doi:10.1038/s41564-025-02003-w
Combining antibiotics to tackle antimicrobial resistance.
Hope, W., Nambiar, S., O'Brien, S., Sharland, M., Paterson, D. L., Yin, M., . . . Pre-X Investigators. (2025). Combining antibiotics to tackle antimicrobial resistance.. Nature microbiology, 10(4), 813-816. doi:10.1038/s41564-025-01969-x
Diagnostics-linked Antimicrobial Surveillance: A Route to Patient-Centred Microbiology Diagnostics?
Howard, D. A., Brookfield, D. C., Rosato, D. C., Velluva, D. A., Gerada, D. A., & Hope, P. W. (2025). Diagnostics-linked Antimicrobial Surveillance: A Route to Patient-Centred Microbiology Diagnostics?. International Journal of Infectious Diseases, 152, 107554. doi:10.1016/j.ijid.2024.107554
Gastro-intestinal transmission and colonisation of pathogenic bacteria: calibration of an agent-based model
Gerada, D. A., Rosato, D. C., Howard, D. A., Green, D. P. L., & Hope, D. W. (2025). Gastro-intestinal transmission and colonisation of pathogenic bacteria: calibration of an agent-based model. International Journal of Infectious Diseases, 152, 107600. doi:10.1016/j.ijid.2024.107600
2024
Susceptibility of OXA-48-like-producing Enterobacterales to flomoxef.
Owen, V., Harper, N., Dubey, V., Gerada, A., Boyd, S. E., & Darlow, C. A. (2024). Susceptibility of OXA-48-like-producing Enterobacterales to flomoxef.. Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 30(12), 1606-1608. doi:10.1016/j.cmi.2024.07.017
Personalised antimicrobial susceptibility testing with clinical prediction modelling informs appropriate antibiotic use.
Howard, A., Hughes, D. M., Green, P. L., Velluva, A., Gerada, A., Maskell, S., . . . Hope, W. (2024). Personalised antimicrobial susceptibility testing with clinical prediction modelling informs appropriate antibiotic use.. Nature communications, 15(1), 9924. doi:10.1038/s41467-024-54192-3
Simulation to optimize the laboratory diagnosis of bacteremia.
Gerada, A., Roberts, G., Howard, A., Reza, N., Velluva, A., Rosato, C., . . . Hope, W. (2024). Simulation to optimize the laboratory diagnosis of bacteremia.. Microbiology spectrum, 12(11), e0144924. doi:10.1128/spectrum.01449-24
Predicting mortality in febrile adults: comparative performance of the MEWS, qSOFA, and UVA scores using prospectively collected data among patients in four health-care sites in sub-Saharan Africa and South-Eastern Asia.
Lal, S., Luangraj, M., Keddie, S. H., Ashley, E. A., Baerenbold, O., Bassat, Q., . . . Febrile Illness Evaluation in a Broad Range of Endemicities (FIEBRE) Study Consortium. (2024). Predicting mortality in febrile adults: comparative performance of the MEWS, qSOFA, and UVA scores using prospectively collected data among patients in four health-care sites in sub-Saharan Africa and South-Eastern Asia.. EClinicalMedicine, 77, 102856. doi:10.1016/j.eclinm.2024.102856
Reevaluating Piperacillin-Tazobactam Mortality.
Darlow, C. A., Gerada, A., & Hope, W. (2024). Reevaluating Piperacillin-Tazobactam Mortality.. JAMA internal medicine, 184(10), 1267-1268. doi:10.1001/jamainternmed.2024.4114
AIgarMIC: a Python package for automated interpretation of agar dilution minimum inhibitory concentration assays
Gerada, A., Harper, N., Howard, A., & Hope, W. (2024). AIgarMIC: a Python package for automated interpretationof agar dilution minimum inhibitory concentration assays. Journal of Open Source Software, 9(101), 6826. doi:10.21105/joss.06826
Bayesian estimation of the prevalence of antimicrobial resistance: a mathematical modelling study.
Howard, A., Green, P. L., Velluva, A., Gerada, A., Hughes, D. M., Brookfield, C., . . . Buchan, I. (2024). Bayesian estimation of the prevalence of antimicrobial resistance: a mathematical modelling study.. The Journal of antimicrobial chemotherapy, dkae230. doi:10.1093/jac/dkae230
Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review
Rosato, C., Green, P. L., Harris, J., Maskell, S., Hope, W., Gerada, A., & Howard, A. (2024). Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review. IEEE Access, 12, 100772-100791. doi:10.1109/access.2024.3427410
Challenges for global antibiotic regimen planning and establishing antimicrobial resistance targets: implications for the WHO Essential Medicines List and AWaRe antibiotic book dosing.
Reza, N., Gerada, A., Stott, K. E., Howard, A., Sharland, M., & Hope, W. (2024). Challenges for global antibiotic regimen planning and establishing antimicrobial resistance targets: implications for the WHO Essential Medicines List and AWaRe antibiotic book dosing.. Clinical microbiology reviews, 37(2), e0013923. doi:10.1128/cmr.00139-23
System-wide approaches to antimicrobial therapy and antimicrobial resistance in the UK: the AMR-X framework.
AMR-X Collaborators. (2024). System-wide approaches to antimicrobial therapy and antimicrobial resistance in the UK: the AMR-X framework.. The Lancet. Microbe, 5(5), e500-e507. doi:10.1016/s2666-5247(24)00003-x
Image and model assets for AIgarMIC (agar dilution minimum inhibitory concentration software)
Gerada, A., Harper, N., Howard, A., Reza, N., & Hope, W. (n.d.). Image and model assets for AIgarMIC (agar dilution minimum inhibitory concentration software). doi:10.17638/datacat.liverpool.ac.uk/2631
Determination of minimum inhibitory concentrations using machine-learning-assisted agar dilution.
Gerada, A., Harper, N., Howard, A., Reza, N., & Hope, W. (2024). Determination of minimum inhibitory concentrations using machine-learning-assisted agar dilution.. Microbiology spectrum, e0420923. doi:10.1128/spectrum.04209-23
35 Brucellosis
Beeching, N. J., Madkour, M. M., & Gerada, A. (2024). 35 Brucellosis. In Manson's Tropical Diseases (pp. 415-422). Elsevier. doi:10.1016/b978-0-7020-7959-7.00035-x
Antimicrobial learning systems: an implementation blueprint for artificial intelligence to tackle antimicrobial resistance.
Howard, A., Aston, S., Gerada, A., Reza, N., Bincalar, J., Mwandumba, H., . . . Buchan, I. (2024). Antimicrobial learning systems: an implementation blueprint for artificial intelligence to tackle antimicrobial resistance.. The Lancet. Digital health, 6(1), e79-e86. doi:10.1016/s2589-7500(23)00221-2
Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop.
Howard, A., Reza, N., Aston, S., Woods, B., Gerada, A., Buchan, I., . . . Märtson, A. -G. (2024). Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop.. The Lancet. Infectious diseases, 24(1), e47-e58. doi:10.1016/s1473-3099(23)00367-5
2023
ChatGPT and antimicrobial advice: the end of the consulting infection doctor?
Howard, A., Hope, W., & Gerada, A. (2023). ChatGPT and antimicrobial advice: the end of the consulting infection doctor?. LANCET INFECTIOUS DISEASES, 23(4), 405. doi:10.1016/S1473-3099(23)00113-5
Brucellosis
Beeching, N. J., Madkour, M. M., & Gerada, A. (2024). Brucellosis. In Manson's Tropical Diseases (pp. 415-422). Elsevier. doi:10.1016/b978-0-7020-7959-7.00035-x
ChatGPT and antimicrobial advice: the end of the consulting infection doctor?
Howard, A., Hope, W., & Gerada, A. (2023). ChatGPT and antimicrobial advice: the end of the consulting infection doctor?. LANCET INFECTIOUS DISEASES, 23(4), 405-406. Retrieved from https://www.webofscience.com/
Determination of Minimum Inhibitory Concentrations Using Machine Learning-Assisted Agar Dilution: Opportunities for Resource-Limited Settings
2020
An integrated national scale SARS-CoV-2 genomic surveillance network
Darby, A. (2020). An integrated national scale SARS-CoV-2 genomic surveillance network. The Lancet Microbe. doi:10.1016/s2666-5247(20)30054-9
The Unexpected Streptococcus
Casha, R., Gerada, A., Folb, J., & Sammut, H. (2020). The Unexpected Streptococcus. Access Microbiology, 2(2). doi:10.1099/acmi.fis2019.po0185
2016
Brucellosis and travel
Gerada, A., & Beeching, N. J. (2016). Brucellosis and travel. TRAVEL MEDICINE AND INFECTIOUS DISEASE, 14(3), 180-181. doi:10.1016/j.tmaid.2016.05.015
2013
A case of bipolar affective disorder and aspiration pneumonia.
Gerada, A., & Dell'erba, G. (2013). A case of bipolar affective disorder and aspiration pneumonia.. Case reports in psychiatry, 2013, 360348. doi:10.1155/2013/360348