Home Learning resources Workshops Research papers

Research papers that used hmer as a calibration tool

• Demonstrating multi-country calibration of a tuberculosis model using new history matching and emulation package - hmer
• The impact of alternative delivery strategies for novel tuberculosis vaccines in low- and middle-income countries: a modelling study
• Is neglect of self-clearance biassing TB vaccine impact estimates?
• New tuberculosis vaccines in India: Modelling the potential health and economic impacts of adolescent/adult vaccination with M72/AS01 E and BCG-revaccination

Previous work by our group on calibrating infectious disease models using HME, that led to the development of this package:

• Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda
• History matching of a complex epidemiological model of human immunodeficiency virus transmission by using variance emulation
• Approximate Bayesian Computation and Simulation-Based Inference for Complex Stochastic Epidemic Models
• Efficient History Matching of a High Dimensional Individual-Based HIV Transmission Model
• Universal test, treat, and keep: improving ART retention is key in cost-effective HIV control in Uganda

Additional references

In the two epidemiological papers below, HME was used for the calibration of HIV models:

• Bayesian History Matching of Complex Infectious Disease Models Using Emulation: A Tutorial and a Case Study on HIV in Uganda
• History matching of a complex epidemiological model of human immunodeficiency virus transmission by using variance emulation

The following papers, where HME was used in disciplines such as astrophysics and biology, contain a more technical and statistical introduction to the method:

• Galaxy formation : a Bayesian uncertainty analysis
• Galaxy Formation: Bayesian History Matching for the Observable Universe
• Constraints on galaxy formation models from the galaxy stellar mass function and its evolution
• Bayesian uncertainty analysis for complex systems biology models: emulation, global parameter searches and evaluation of gene functions
• Assessing model adequacy