Plug-and-play inference for disease dynamics: measles in large and small populations as a case study.
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Forcing versus feedback: epidemic malaria and monsoon rains in northwest IndiaThe potential elimination of Plasmodium vivax malaria by relapse treatment: insights from a transmission model and surveillance data from NW IndiaPrevention and Control of Zika as a Mosquito-Borne and Sexually Transmitted Disease: A Mathematical Modeling AnalysisBayesian penalized spline models for the analysis of spatio-temporal count data.Bayesian parameter inference for stochastic biochemical network models using particle Markov chain Monte CarloA comparison study of Zika virus outbreaks in French Polynesia, Colombia and the State of Bahia in BrazilGlobal Spatio-temporal Patterns of Influenza in the Post-pandemic EraIdentifying the interaction between influenza and pneumococcal pneumonia using incidence data.Structuring targeted surveillance for monitoring disease emergence by mapping observational data onto ecological processImproving the modeling of disease data from the government surveillance system: a case study on malaria in the Brazilian AmazonMaking sense of the shadows: priorities for creating a learning healthcare system based on routinely collected dataImmune boosting explains regime-shifts in prevaccine-era pertussis dynamics.Never mind the length, feel the quality: the impact of long-term epidemiological data sets on theory, application and policyResolving the impact of waiting time distributions on the persistence of measlesDecreasing stochasticity through enhanced seasonality in measles epidemicsData-model fusion to better understand emerging pathogens and improve infectious disease forecasting.Statistical inference for multi-pathogen systems.Inference for nonlinear epidemiological models using genealogies and time seriesEstimation of measles vaccine efficacy and critical vaccination coverage in a highly vaccinated populationExtracting the time-dependent transmission rate from infection data via solution of an inverse ODE problem.Inference for dynamic and latent variable models via iterated, perturbed Bayes mapsParameterizing state-space models for infectious disease dynamics by generalized profiling: measles in Ontario.Interior-point methods for estimating seasonal parameters in discrete-time infectious disease models.Comparison of filtering methods for the modeling and retrospective forecasting of influenza epidemics.Comparing statistical models to predict dengue fever notificationsSeasonality of Influenza A(H7N9) Virus in China-Fitting Simple Epidemic Models to Human Cases."One Health" or Three? Publication Silos Among the One Health Disciplines.A nonlinear programming approach for estimation of transmission parameters in childhood infectious disease using a continuous time model.Limits to Causal Inference with State-Space Reconstruction for Infectious Disease.Infectious Disease Dynamics Inferred from Genetic Data via Sequential Monte Carlo.Forecasting seasonal outbreaks of influenza.Modelling seasonal influenza: the role of weather and punctuated antigenic drift.The cohort effect in childhood disease dynamics.Estimating enhanced prevaccination measles transmission hotspots in the context of cross-scale dynamicsA second-order iterated smoothing algorithm.Anticipating the emergence of infectious diseases.Monte Carlo profile confidence intervals for dynamic systems.Clinical trials: The mathematics of falling vaccine efficacy with rising disease incidence.Modelling and parameter inference of predator-prey dynamics in heterogeneous environments using the direct integral approach.PREDICTIVE MODELING OF CHOLERA OUTBREAKS IN BANGLADESH.
P2860
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P2860
Plug-and-play inference for disease dynamics: measles in large and small populations as a case study.
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունիսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունիսին հրատարակված գիտական հոդված
@hy
2009年の論文
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年学术文章
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2009年學術文章
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name
Plug-and-play inference for di ...... ll populations as a case study
@nl
Plug-and-play inference for di ...... l populations as a case study.
@ast
Plug-and-play inference for di ...... l populations as a case study.
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Plug-and-play inference for di ...... ll populations as a case study
@nl
Plug-and-play inference for di ...... l populations as a case study.
@ast
Plug-and-play inference for di ...... l populations as a case study.
@en
prefLabel
Plug-and-play inference for di ...... ll populations as a case study
@nl
Plug-and-play inference for di ...... l populations as a case study.
@ast
Plug-and-play inference for di ...... l populations as a case study.
@en
P2860
P921
P3181
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Plug-and-play inference for di ...... l populations as a case study.
@en
P2093
Edward L Ionides
P2860
P304
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10.1098/RSIF.2009.0151
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P577
2009-06-17T00:00:00Z