Individual-based models (IBMs) informing public health policy should be calibrated to data
and provide estimates of uncertainty. Two main components of model-calibration methods …

The estimation of parameters and model structure for informing infectious disease response
has become a focal point of the recent pandemic. However, it has also highlighted a …

Approximate Bayesian Computation and Simulation-Based Inference for Complex Stochastic
Epidemic Models Page 1 Statistical Science 2018, Vol. 33, No. 1, 4–18 https://doi.org/10.1214/17-STS618 …

We introduce June, an open-source framework for the detailed simulation of epidemics on
the basis of social interactions in a virtual population constructed from geographically …

Around two-thirds of all new HIV infections and 90% of syphilis cases occur in low-and
middle-income countries (LMICs). Testing is a key strategy for the prevention and treatment …

Motivation The ability to simulate epidemics as a function of model parameters allows
insights that are unobtainable from real datasets. Further, reconstructing transmission …

Background Many mathematical models have now been employed across every area of
systems biology. These models increasingly involve large numbers of unknown parameters …

Background In this so-called treat-all era, antiretroviral therapy (ART) interruptions contribute
to an increasing proportion of HIV infections and deaths. Many strategies to improve …

Summary Background The HPTN 071 (PopART) trial showed that a combination HIV
prevention package including universal HIV testing and treatment (UTT) reduced population …

Background. UNAIDS has set a new target 90‐90‐90 by 2020. To achieve this target, current
programs need to address challenges that limit access, availability, and utilization of HIV …