A Space-Time Conditional Intensity Model for Invasive Meningococcal Disease Occurrence
From MaRDI portal
Publication:58331
DOI10.1111/j.1541-0420.2011.01684.xzbMath1274.92034arXiv1508.05740OpenAlexW1972203532WikidataQ44257285 ScholiaQ44257285MaRDI QIDQ58331
Sebastian Meyer, Michael Höhle, Johannes Elias, Michael Höhle, Sebastian Meyer, Johannes Elias
Publication date: 9 October 2011
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1508.05740
conditional intensity functioninfectious disease surveillance dataspatiotemporal point processstochastic epidemic modeling
Related Items (18)
Investigating Clustering and Violence Interruption in Gang-Related Violent Crime Data Using Spatial–Temporal Point Processes With Covariates ⋮ A review of self-exciting spatio-temporal point processes and their applications ⋮ Self-exciting point processes: infections and implementations ⋮ Stochastic models for the infectivity function in an infinite population of susceptible individuals ⋮ A non-parametric Hawkes model of the spread of Ebola in west Africa ⋮ Nonparametric estimation of recursive point processes with application to mumps in Pennsylvania ⋮ Stochastic declustering of earthquakes with the spatiotemporal renewal ETAS model ⋮ Estimating Covid-19 transmission time using Hawkes point processes ⋮ Estimation, diagnostics, and extensions of nonparametric Hawkes processes with kernel functions ⋮ Analytic computation of nonparametric Marsan–Lengliné estimates for Hawkes point processes ⋮ Power-law models for infectious disease spread ⋮ surveillance ⋮ A Markov modulated dynamic contagion process with application to credit risk ⋮ An online spatiotemporal prediction model for dengue fever epidemic in <scp>K</scp>aohsiung (<scp>T</scp>aiwan) ⋮ Pricing power exchange options with Hawkes jump diffusion processes ⋮ Spectral estimation of Hawkes processes from count data ⋮ Including covariates in a space-time point process with application to seismicity ⋮ On Some Statistical Properties of the Spatio-Temporal Product Density
Uses Software
Cites Work
- Unnamed Item
- Count data regression charts for the monitoring of surveillance time series
- Surveillance to detect emerging space-time clusters
- Surveillance: An R package for the monitoring of infectious diseases
- Space-time point-process models for earthquake occurrences
- Asymptotic properties of the maximum likelihood estimator for spatio-temporal point processes
- A statistical framework for the analysis of multivariate infectious disease surveillance counts
- Partial-Likelihood Analysis of Spatio-Temporal Point-Process Data
- Numerical Optimization
- An Introduction to the Theory of Point Processes
- Self-Exciting Point Process Modeling of Crime
- Spatio-temporal point processes, partial likelihood, foot and mouth disease
- Spectra of some self-exciting and mutually exciting point processes
- Statistical inference and model selection for the 1861 Hagelloch measles epidemic
- A Space–Time Conditional Intensity Model for Evaluating a Wildfire Hazard Index
- Bayesian analysis for emerging infectious diseases
This page was built for publication: A Space-Time Conditional Intensity Model for Invasive Meningococcal Disease Occurrence
