Research outputs
Selected research outputs
- 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)
2026
Genotypic-phenotypic discordance for cefiderocol against Enterobacter hormaechei.
Dubey, V., Gerada, A., Jones, C. M., Cruise, J., Hope, W., & Howard, A. (2026). Genotypic-phenotypic discordance for cefiderocol against Enterobacter hormaechei.. International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 108479. doi:10.1016/j.ijid.2026.108479
Machine learning for personalized antimicrobial susceptibility breakpoints
Zhong, Y., Hope, W., Buchan, I., Velluva, A., Gerada, A., Rosato, C., . . . Howard, A. (2026). Machine learning for personalized antimicrobial susceptibility breakpoints. JOURNAL OF ANTIMICROBIAL CHEMOTHERAPY, 81(1). doi:10.1093/jac/dkaf419
2025
Molecular pharmacodynamics of amoxicillin-clavulanic acid against Escherichia coli
A Family Cluster of Imported Human <i>Brucella melitensis</i> Infection with Probable Breast Milk Transmission: A Case Series
Loftus, C., Jervis, J., Owen, V., Wingfield, T., Ball, R., Wong, W., . . . Woolley, S. D. (2025). A Family Cluster of Imported Human <i>Brucella melitensis</i> Infection with Probable Breast Milk Transmission: A Case Series. TROPICAL MEDICINE AND INFECTIOUS DISEASE, 10(8). doi:10.3390/tropicalmed10080227
Combining antibiotics to tackle antimicrobial resistance (vol 10, pg 813, 2025)
Hope, W., Nambiar, S., O'Brien, S., Sharland, M., Paterson, D. L., Yin, M., . . . Howard, A. (2025). Combining antibiotics to tackle antimicrobial resistance (vol 10, pg 813, 2025). NATURE MICROBIOLOGY, 10(5), 1258. doi:10.1038/s41564-025-02003-w
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.
Combining antibiotics to tackle antimicrobial resistance
Hope, W., Nambiar, S., O'Brien, S., Sharland, M., Paterson, D. L., Yin, M., . . . Howard, A. (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, A., Brookfield, C., Rosato, C., Velluva, A., Gerada, A., & Hope, W. (2025). Diagnostics-linked Antimicrobial Surveillance: A Route to Patient-Centred Microbiology Diagnostics?. INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES, 152, 45-46. 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
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). doi:10.1038/s41467-024-54192-3
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, 30(12), 1606-1608. doi:10.1016/j.cmi.2024.07.017
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
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). doi:10.1128/spectrum.01449-24
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). doi:10.1128/cmr.00139-23
System-wide approaches to antimicrobial therapy and antimicrobial resistance in the UK: the AMR-X framework
Abel, K., Agnew, E., Amos, J., Armstrong, N., Armstrong-James, D., Ashfield, T., . . . Hope, W. (2024). System-wide approaches to antimicrobial therapy and antimicrobial resistance in the UK: the AMR-X framework. 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. LANCET DIGITAL HEALTH, 6(1). 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., . . . Maertson, A. -G. (2024). Antimicrobial treatment imprecision: an outcome-based model to close the data-to-action loop. 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. doi:10.1016/S1473-3099(23)00113-5
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