Spatio-temporal epidemic modelling using additive-multiplicative intensity models (2008)
An extension of the stochastic susceptible-infectious-recovered (SIR) model is proposed in order to accommodate a regression context for modelling infectious disease surveillance data. The proposal...
Fenske, Nora, Fahrmeir, Ludwig, Rzehak, Peter, Höhle, Michael
This article compares and discusses three different statistical methods for investigating risk factors for overweight and obesity in early childhood by means of the LISA study, a recent German birth...
Cornelia Silaghi, Jérémie Gilles, Michael Höhle, Ingrid Pradel, Frank T. Just, Volker Fingerle, ...
Host-seeking Ixodes ricinus (L.) (Acari: Ixodidae) ticks were collected systematically, from May to September 2006, at selected sites in southern Germany, including a large city park in Munich....
Advance Access publication on January 11, 2006 (2008)
Leonhard Held, Mathias Hofmann, Michael Höhle, Volker Schmid
A two-component model for counts of infectious diseases
LImited Memory Influence Diagrams (LIMIDs) are general models of decision problems for representing limited memory policies (Lauritzen and Nilsson (2001)). The evaluation of LIMIDs can be done by...
Decision Making based on Sampled Disease Occurrence in Animal Herds (2008)
Abstract. To make qualified decisions when extrapolating results from a survey sample with imprecise tests requires careful handling of uncertainty. Both the imprecise test and uncertainty introduced...
LImited Memory Influence Diagrams (LIMIDs) are general models of decision problems for representing limited memory policies (Lauritzen and Nilsson (2001)). The evaluation of LIMIDs can be done by...
Michael Höhle, Michaela Paul, Leonhard Held, Michael Höhle A
Statistical approaches to the surveillance of infectious diseases for veterinary public health
Höhle, Michael, Paul, Michaela, Held, Leonhard
This technical report covers the aspect of using statistical methodology for the monitoring of routinely collected surveillance data in veterinary public health. An account of the Farrington...
Michael Höhle, Michael Höhle, Erik Jørgensen, Erik Jørgensen
Understanding the spread of infectious disease is an important issue in order to prevent major outbreaks. In this report mathematical modeling is used to gain insight into the dynamics of an...
Bayesian Estimation of the Size of a Population (2006)
Höhle, Michael, Held, Leonhard
We consider the following problem: estimate the size of a population marked with serial numbers after only a sample of the serial numbers has been observed. Its simplicity in formulation and the...
Poisson regression charts for the monitoring of surveillance time series (2006)
This paper presents a Poisson control chart for monitoring time series of counts typically arising in the surveillance of infectious diseases. The in-control mean is assumed to be time-varying and...
A two-component model for counts of infectious diseases (2006)
Held, Leonhard, Hofmann, Mathias, Höhle, Michael, Schmid, Volker
We propose a stochastic model for the analysis of time series of disease counts as collected in typical surveillance systems on notifiable infectious diseases. The model is based on a Poisson or...
A two-component model for counts of infectious diseases (2006)
Held, Leonhard, Hofmann, Mathias, Höhle, Michael, Schmid, Volker
We propose a stochastic model for the analysis of time series of disease counts as collected in typical surveillance systems on notifiable infectious diseases. The model is based on a Poisson or...
Methods for evaluating Decision Problems with Limited Information (2005)
LImited Memory Influence Diagrams (LIMIDs) are general models of decision problems for representing limited memory policies (Lauritzen and Nilsson (2001)). The evaluation of LIMIDs can be done by...
The R-Package 'surveillance' (2005)
This document gives an introduction to the R-Package 'surveillance' containing tools for outbreak detection in routinely collected surveillance data. The package contains an implementation of the...
A two-component model for counts of infectious diseases (2005)
Held, Leonhard, Hofmann, M., Höhle, Michael, Schmid, V.
We propose a stochastic model for the analysis of time series of disease counts as collected in typical surveillance systems on notifiable infectious diseases. The model is based on a Poisson or...
A stochastic model for multivariate surveillance of infectious diseases (2004)
Hofmann, M., Höhle, Michael, Held, Leonhard
We describe a stochastic model based on a branching process for analyzing surveillance data of infectious diseases that allows to make forecasts of the future development of the epidemic. The model...
A statistical framework for the analysis of multivariate infectious disease surveillance data (2004)
Held, Leonhard, Höhle, Michael, Hofmann, M.
A framework for the statistical analysis of counts from infectious disease surveillance databases is proposed. In its simplest form, the model can be seen as a Poisson branching process model with...
Michael Höhle, Michael Höhle, Frederiksberg C
to obtain the Ph.D. degree.
Towards Automatic Bisimilarity Checking in the Spi Calculus (1999)
Anders Strandløv Elkjær, Michael Höhle, Anders Str, Hans Hüttel, Kasper Overgård Nielsen
The spi calculus by Abadi and Gordon, an extension of Robin Milner's ß-calculus, is designed to model cryptographic protocols. Classic security properties are easily expressed in spi using the...
Inference in disease transmission experiments by using stochastic epidemic models
Michael Höhle, Erik Jørgensen, Philip D. O'Neill
The paper extends the susceptible-exposed-infective-removed model to handle heterogeneity introduced by spatially arranged populations, biologically plausible distributional assumptions and...
$${\tt surveillance}$$ : An R package for the monitoring of infectious diseases
Monitoring, Public health surveillance, Time series of counts, Outbreak detection, Univariate and multivariate surveillance,
Count data regression charts for the monitoring of surveillance time series
Höhle, Michael, Paul, Michaela
Control charts based on the Poisson and negative binomial distribution for monitoring time series of counts typically arising in the surveillance of infectious diseases are presented. The in-control...
Modelling the spread in space and time of an airborne plant disease
Samuel Soubeyrand, Leonhard Held, Michael Höhle, Ivan Sache
A spatiotemporal model is developed to analyse epidemics of airborne plant diseases which are spread by spores. The observations consist of measurements of the severity of disease at different times,...
Anaplasma phagocytophilum Infection in Ixodes ricinus, Bavaria, Germany
Silaghi, Cornelia, Gilles, Jérémie, Höhle, Michael, Fingerle, Volker, Just, Frank Thomas, Pfister, Kurt
Anaplasma phagocytophilum DNA was detected by real-time PCR, which targeted the msp2 gene, in 2.9% of questing Ixodes ricinus ticks (adults and nymphs; n = 2,862), collected systematically from...