The potential of genomics for infectious disease forecasting
Genomic technologies have led to tremendous gains in understanding how pathogens
function, evolve and interact. Pathogen diversity is now measurable at high precision and …
function, evolve and interact. Pathogen diversity is now measurable at high precision and …
Lessons from Ebola: Improving infectious disease surveillance to inform outbreak management
The current Ebola virus disease outbreak in West Africa has revealed serious shortcomings
in national and international capacity to detect, monitor, and respond to infectious disease …
in national and international capacity to detect, monitor, and respond to infectious disease …
Bayesian history matching of complex infectious disease models using emulation: a tutorial and a case study on HIV in Uganda
Advances in scientific computing have allowed the development of complex models that are
being routinely applied to problems in disease epidemiology, public health and decision …
being routinely applied to problems in disease epidemiology, public health and decision …
Approximate Bayesian computation and simulation-based inference for complex stochastic epidemic models
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 …
Epidemic Models Page 1 Statistical Science 2018, Vol. 33, No. 1, 4–18 https://doi.org/10.1214/17-STS618 …
The effect of climate change on yellow fever disease burden in Africa
KAM Gaythorpe, A Hamlet, L Cibrelus, T Garske… - Elife, 2020 - elifesciences.org
Yellow Fever (YF) is an arbovirus endemic in tropical regions of South America and Africa
and it is estimated to cause 78,000 deaths a year in Africa alone. Climate change may have …
and it is estimated to cause 78,000 deaths a year in Africa alone. Climate change may have …
[HTML][HTML] Influencing public health policy with data-informed mathematical models of infectious diseases: Recent developments and new challenges
Modern data and computational resources, coupled with algorithmic and theoretical
advances to exploit these, allow disease dynamic models to be parameterised with …
advances to exploit these, allow disease dynamic models to be parameterised with …
[HTML][HTML] Contemporary statistical inference for infectious disease models using Stan
This paper is concerned with the application of recent statistical advances to inference of
infectious disease dynamics. We describe the fitting of a class of epidemic models using …
infectious disease dynamics. We describe the fitting of a class of epidemic models using …
Approximate Bayesian computation with Kullback-Leibler divergence as data discrepancy
B Jiang - … conference on artificial intelligence and statistics, 2018 - proceedings.mlr.press
Complex simulator-based models usually have intractable likelihood functions, rendering
the likelihood-based inference methods inapplicable. Approximate Bayesian Computation …
the likelihood-based inference methods inapplicable. Approximate Bayesian Computation …
How big is an outbreak likely to be? Methods for epidemic final-size calculation
Epidemic models have become a routinely used tool to inform policy on infectious disease.
A particular interest at the moment is the use of computationally intensive inference to …
A particular interest at the moment is the use of computationally intensive inference to …
Estimation of the dispersal distances of an aphid-borne virus in a patchy landscape
DRJ Pleydell, S Soubeyrand, S Dallot… - PLoS computational …, 2018 - journals.plos.org
Characterising the spatio-temporal dynamics of pathogens in natura is key to ensuring their
efficient prevention and control. However, it is notoriously difficult to estimate dispersal …
efficient prevention and control. However, it is notoriously difficult to estimate dispersal …