This theme brings together the modellers and data analysts working on antimicrobial resistance (AMR) across pathogens, environments and techniques. The theme has close links with the AMR Centre at LSHTM, but with a focus on modelling and data analysis.
Theme lead
Gwen Knight
Theme lead
Highlighted publications
- Waterlow NR, Cooper BS, Robotham JV, Knight GM. Antimicrobial resistance prevalence in bloodstream infection in 29 European countries by age and sex: An observational study. PLoS Med. 2024 Mar 14;21(3):e1004301. doi: 10.1371/journal.pmed.1004301. PMID: 38484006; PMCID: PMC10939247.
- Dodd PJ, Mafirakureva N, Seddon JA, McQuaid CF. The global impact of household contact management for children on multidrug-resistant and rifampicin-resistant tuberculosis cases, deaths, and health-system costs in 2019: a modelling study. Lancet Glob Health. 2022 Jul;10(7):e1034-e1044. doi: 10.1016/S2214-109X(22)00113-9. Epub 2022 May 18. PMID: 35597248; PMCID: PMC9197775.
- Davies NG, Flasche S, Jit M, Atkins KE. Modeling the effect of vaccination on selection for antibiotic resistance in Streptococcus pneumoniae. Sci Transl Med. 2021 Aug 11;13(606):eaaz8690. doi: 10.1126/scitranslmed.aaz8690. PMID: 34380772.
- Leclerc QJ, Lindsay JA, Knight GM. Modelling the synergistic effect of bacteriophage and antibiotics on bacteria: Killers and drivers of resistance evolution. PLoS Comput Biol. 2022 Nov 30;18(11):e1010746. doi: 10.1371/journal.pcbi.1010746. PMID: 36449520; PMCID: PMC9744316.