Laura Guzmán-Rincón
@LGuzmanRincon
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RT @WarwickSBIDER: The final poster session at #Epidemics9 has more contributions from @WarwickSBIDER !. Includes @LGuzmanRincon [P3.040],….
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Although the methods are generic, we apply them to SARS-CoV-2 cases and testing in England, making use of the available high-resolution spatio-temporal data to determine long-term patterns of national growth, highlight regional growth, and spatial heterogeneity.
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We propose a Bayesian approach to calculate the exponential growth rate, r, using a Gaussian process fitted to epidemiological data.
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Our paper on growth rate estimation using Gaussian processes is now published in RSS, series C. Soon there will be a web application ready to use!. See the repository at @EdMHill @DrLouiseDyson @mjtildesley @MattJKeeling.
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RT @plusmathsorg: Was the mathematical modelling for #covid19 too pessimistic? Find out with @LGuzmanRincon, @EdMHill and @MattJKeeling in….
plus.maths.org
Was the mathematical modelling projecting the course of the pandemic too pessimistic, or were the projections justified? Matt Keeling tells our colleagues from SBIDER about the COVID models that fed...
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RT @WMI_research: To share research from @WarwickSBIDER, our colleagues @EdMHill & @LGuzmanRincon have produced a collection of podcasts!….
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RT @cmmid_lshtm: .@cmmid_lshtm's next seminar - delivered by @LGuzmanRincon, @warwickuni - looks at different methods for estimating the gr….
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RT @WarwickSBIDER: "Bayesian Estimation of real-time Epidemic Growth Rates using Gaussian Processes: local dynamics of SARS-CoV-2 in Englan….
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