Bayesian data assimilation provides rapid decision support for vector-borne diseases
@article{Jewell2015BayesianDA, title={Bayesian data assimilation provides rapid decision support for vector-borne diseases}, author={Christopher P Jewell and Richard G Brown}, journal={Journal of The Royal Society Interface}, year={2015}, volume={12} }
Predicting the spread of vector-borne diseases in response to incursions requires knowledge of both host and vector demographics in advance of an outbreak. Although host population data are typically available, for novel disease introductions there is a high chance of the pathogen using a vector for which data are unavailable. This presents a barrier to estimating the parameters of dynamical models representing host–vector–pathogen interaction, and hence limits their ability to provide…
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References
SHOWING 1-10 OF 49 REFERENCES
Bayesian analysis for emerging infectious diseases
- Mathematics
- 2009
This paper presents a fully Bayesian methodology for performing inference and online prediction for epidemics in structured populations, including an MCMC- (and adaptive MCMC-) based methodology for parameter estimation, epidemic prediction, and online assessment of risk from currently unobserved infections.
Bayesian inference for an emerging arboreal epidemic in the presence of control
- MathematicsProceedings of the National Academy of Sciences
- 2014
The model is modeled as a susceptible-exposed-infectious-detected-removed epidemic, where the exposure and infectious times are not observed, detection times are censored, removal times are known, and the disease is spreading through a heterogeneous host population with trees of different age and susceptibility.
Appropriate Models for the Management of Infectious Diseases
- MedicinePLoS medicine
- 2005
Analytical methods are used to show that ignoring the latent period or making the common assumption of exponentially distributed latent and infectious periods always results in underestimating the basic reproductive ratio of an infection from outbreak data.
A Comparison of Dynamics in Two Models for the Spread of a Vector-Borne Disease.
- Biology, MedicineTransboundary and emerging diseases
- 2016
It is demonstrated how an agent- based model shows greater sensitivity to the level of vaccine uptake and has lower variability compared with a kernel-based model, while a model using a transmission kernel requires less detailed data and is often faster.
Enhancing Bayesian risk prediction for epidemics using contact tracing.
- Computer ScienceBiostatistics
- 2012
This paper presents an advancement in Bayesian inference for epidemics that assimilates CTD data and is robust to partial contact tracing and shows how the presence of CTD improves posterior predictive accuracy and can directly inform a more effective control strategy.
Epidemiological inference for partially observed epidemics: the example of the 2001 foot and mouth epidemic in Great Britain.
- MedicineEpidemics
- 2009
Towards an integrated approach in surveillance of vector-borne diseases in Europe
- MedicineParasites & Vectors
- 2011
In the current paper, important parameters and terms of both public health and medical entomology are defined in order to establish a common language that facilitates collaboration between the two disciplines.
The 2012 Madeira Dengue Outbreak: Epidemiological Determinants and Future Epidemic Potential
- Medicine, Environmental SciencePLoS neglected tropical diseases
- 2014
It is proposed that there is little support for dengue endemicity on this island, but a high potential for future epidemic outbreaks when seeded between May and August—a period when detection of imported cases is crucial for Madeira's public health planning.
Climate change and the emergence of vector-borne diseases in Europe: case study of dengue fever
- MedicineBMC Public Health
- 2014
This is the first attempt to model dengue fever risk in Europe in terms of disease occurrence rather than mosquito presence, and is likely to be a valuable tool assisting effective and targeted adaptation responses to reduce the likely increased burden of d Dengue fever in a warmer world.
Predicting undetected infections during the 2007 foot-and-mouth disease outbreak
- MedicineJournal of The Royal Society Interface
- 2008
Real-time epidemic data synthesized with previous knowledge of FMD outbreaks in the UK is used to predict which premises might have been infected, but remained undetected, at any point during the outbreak, providing both a framework for targeting surveillance in the face of limited resources and an indicator of the current severity and spatial extent of the epidemic.