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Search results (159)

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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

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

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

Understanding human behaviour for pandemic preparedness with epigames

Colubri A. et al, (2026), Nature Health, 1, 686 - 688

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)

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

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

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

Sturman F. et al, (2025), Journal of theoretical biology, 611

Estimating the contribution of age-structure to the COVID-19 epidemic in England.

Hinch R. et al, (2025), Journal of theoretical biology, 611

Enhanced testing can substantially improve defense against several types of respiratory virus pandemic.

Petrie J. et al, (2025), Epidemics, 50

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)

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

Bayley T. et al, (2025)

Interrupted time series and non-linear regression analyses to evaluate the impact of the three consecutive COVID-19 national lockdowns on the general practice referrals of women experiencing domestic violence and abuse in England and Wales

Panovska-Griffiths J. et al, (2025), BMJ PUBLIC HEALTH, 3

Quantification of the time-varying epidemic growth rate and of the delays between symptom onset and presenting to healthcare for the mpox epidemic in the UK in 2022.

Hinch R. et al, (2024), Scientific reports, 14

Drivers of epidemic dynamics in real time from daily digital COVID-19 measurements.

Kendall M. et al, (2024), Science (New York, N.Y.), 385

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