Predictive modeling of cholera outbreaks in Bangladesh
From MaRDI portal
Publication:312893
DOI10.1214/16-AOAS908zbMath1400.62271arXiv1402.0536OpenAlexW1646553488WikidataQ39285591 ScholiaQ39285591MaRDI QIDQ312893
Ira M. jun. Longini, M. Elizabeth Halloran, Amanda A. Koepke, Vladimir N. Ninin, Jon Wakefield
Publication date: 9 September 2016
Published in: The Annals of Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1402.0536
Applications of statistics to biology and medical sciences; meta analysis (62P10) Markov processes: estimation; hidden Markov models (62M05) Medical epidemiology (92C60)
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Cites Work
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- The pseudo-marginal approach for efficient Monte Carlo computations
- Predictive modeling of cholera outbreaks in Bangladesh
- Multiple transmission pathways and disease dynamics in a waterborne pathogen model
- Bayesianly justifiable and relevant frequency calculations for the applied statistician
- On the definition and the computation of the basic reproduction ratio \(R_ 0\) in models for infectious diseases in heterogeneous populations
- Time series analysis via mechanistic models
- Identifiability and estimation of multiple transmission pathways in cholera and waterborne disease
- A hierarchy of approximations of the master equation scaled by a size parameter
- Sequential Monte Carlo Methods in Practice
- Malaria in Northwest India: Data Analysis via Partially Observed Stochastic Differential Equation Models Driven by Lévy Noise
- Particle Markov Chain Monte Carlo for Efficient Numerical Simulation
- A statistical framework for the analysis of multivariate infectious disease surveillance counts
- Time Series Modelling of Childhood Diseases: A Dynamical Systems Approach
- Tracking Epidemics With Google Flu Trends Data and a State-Space SEIR Model
- Inference for reaction networks using the linear noise approximation
- Seamless R and C++ Integration with Rcpp
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
- Monte Carlo sampling methods using Markov chains and their applications
