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Search results (158)

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Application of machine-learning algorithms to identify the key determinants of risk for HIV, hepatitis C and hepatitis B in primary care settings

Manley H. et al, (2026), BMC Infectious Diseases

Editorial: Improving pandemic and epidemic responses - novel methods and lessons learned from previous infectious disease outbreaks

Swallow B. and Panovska-Griffiths J., (2026), Journal of Theoretical Biology, 625, 112424 - 112424

ML-ABC: Machine-learning assisted Approximate Bayesian Computation for efficient calibration of agent-based models for pandemic outbreak analysis

Bayley T. et al, (2026), Epidemics, 54, 100881 - 100881

Understanding human behaviour for pandemic preparedness with epigames

Colubri A. et al, (2026), Nature Health

A Novel Protocol for an Experimental Epidemic Game to Study Quarantine Behavior Dynamics: The Epi-Q Study

McCool E. et al, (2026)

App-based Epidemic Game to Model Belief-Behavior Mapping and Cost Incentives in Voluntary Quarantine: A Randomized Controlled Trial

Colubri A. et al, (2026)

Application of machine-learning algorithms to identify the key determinants of risk for HIV, Hepatitis C and Hepatitis B in primary care settings

Manley H. et al, (2025)

A Novel Protocol for an Experimental Epidemic Game to Study Quarantine Behavior Dynamics: The Epi-Q Study

McCool E. et al, (2025)

Risk prediction models for targeted testing of HIV, hepatitis B and hepatitis C: a systematic review and meta-analysis

Leber W. et al, (2025), BMC Infectious Diseases, 25

Large connected components in sexual networks and their role in HIV transmission in Sub-Saharan Africa: A model-based analysis of HPTN 071(PopART) data

Di Lauro F. et al, (2025), Journal of Theoretical Biology, 613, 112218 - 112218

ML-ABC: Machine-learning assisted Approximate Bayesian Computation for efficient calibration of agent-based models for pandemic outbreak analysis

Bayley T. et al, (2025)

ML-ABC: Machine-learning assisted Approximate Bayesian Computation for efficient calibration of agent-based models for pandemic outbreak analysis

Bayley T. et al, (2025)

Phenotyping Superagers Using Machine Learning Algorithms on Whole Brain Connectivity Resting-State fMRI Studies

de Godoy LL. et al, (2025), ISMRM Annual Meeting

Clade I mpox vaccination: strategies for deployment and evaluation

Pley C. et al, (2025), eBioMedicine, 119, 105890 - 105890

Can pruning improve agent-based models’ calibration? An application to HPVsim

Sturman F. et al, (2025), Journal of Theoretical Biology, 611, 112130 - 112130

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