Publication List

• A space-time conditional intensity model for invasive meningococcal disease occurrence (2011), S. Meyer, J. Elias and M. Höhle, Biometrics, Epub ahead of print.

• Additive-Multiplicative Regression Models for Spatio-Temporal Epidemics, (2009), M. Höhle, Biometrical Journal, 51(6), pp. 961-978.
  

• Statistical approaches to the surveillance of infectious diseases for veterinary public health, (2009), M. Höhle, M. Paul, L. Held, Preventive Veterinary Medicine, 91(1), pp. 2-10.
  

• Modelling the spread in space and time of an airborne plant disease (2008), S. Soubeyrand, L. Held, M. Höhle and I. Sache, Journal of the Royal Statistical Society, Series C, 57(3), pp. 253–272.
  
  
• Count data regression charts for the monitoring of surveillance time series (2008), M. Höhle and M. Paul,  Computational Statistics and Data Analysis, 52(9), pp. 4357–4368.
  
  
• surveillance: An R package for the surveillance of infectious diseases (2007), M. Höhle, Computational Statistics, 22(4), pp. 571–582. (preprint)
  
  
• RLadyBug – An R package for stochastic epidemic models (2007), M. Höhle and U. Feldmann, Computational Statistics and Data Analysis, 52(2), pp. 680–686.
  

• A two-component model for counts of infectious diseases (2006), L. Held, M. Hofmann, M. Höhle and V. Schmid, Biostatistics, 7, pp.  422–437.

• A statistical framework for the analysis of multivariate infectious disease surveillance data (2005), L. Held, M. Höhle and M. Hofmann, Statistical Modelling, 5, pp. 187–199.

• Inference in disease transmission experiments using stochastic epidemic models (2005), M. Höhle, E. Jørgensen, and P.D. O'Neill, Journal of the Royal Statistical Society, Series C, 54(2), pp. 349–366.

• Risk factors for sporadic Yersinia enterocolitica infections, Germany 2009–2010 (2011), Rosner BM, Stark K, Höhle M, Werber D. Epidemiology and Infection, Epub ahead of print.

• German Outbreak of Escherichia coli O104:H4 Associated with Sprouts (2011), Buchholz U, Bernard H, Werber D, Böhmer MM, Remschmidt C, Wilking H, Deleré Y, a. d. Heiden M, Adlhoch C, Dreesman J, Ehlers J, Ethelberg S, Faber M, Frank C, Fricke G, Greiner M, Höhle M, Ivarsson S, Jark U, Kirchner M, Koch J, Krause G, Luber P, Rosner B, Stark K, Kühne M. New England Journal of Medicine, 365:1763-1770.
  

• Assessment of varicella vaccine effectiveness in Germany: A time series approach (2011), Höhle M, Siedler A, Ludwig M, Bader H-M, Heininger U, von Kries R. Epidemiology and Infection, 139(11):1710-1719. [preprint]
  

• Prevalence of Reactive Antibodies to 2009 Pandemic Influenza A (H1N1) Virus in German Adult Population in Pre- and Post-Pandemic Period (2011) Dudareva S, Schweiger B, Thamm M, Höhle M, Stark K, Krause G, Buda S, Haas W. PLoS ONE, 6(6): e21340. 

• Update on the ongoing outbreak of haemolytic uraemic syndrome due to Shiga toxin-producing Escherichia coli (STEC) serotype O104, Germany, May 2011 (2011) Askar M, Faber MS, Frank C, Bernard H, Gilsdorf A, Fruth A, Prager R, Höhle M, Suess T, Wadl M, Krause G, Stark K, Werber D. Euro Surveilance 2011;16(22):pii=19883.

• Large and ongoing outbreak of haemolytic uraemic syndrome, Germany, May 2011 (2011), Frank C, Faber MS, Askar M, Bernard H, Fruth A, Gilsdorf A, Höhle M, Karch H, Krause G, Prager R, Spode A, Stark K, Werber D, on behalf of the HUS investigation team. Euro Surveillance 2011;16(21):pii=19878.

• Prevalence of Spotted Fever Group Rickettsiae in Ixodes ricinus (Acari: Ixodidae) in Southern Germany (2008), Silaghi C, Gilles J, Höhle M, Pradel I,  Just FT, Fingerle V, Küchenhoff H, Pfister K. Journal of Medical Entomology, 45(5), pp. 948-955.
  

• Anaplasma phagocytophilum infection in Ixodes ricinus, Bavaria, Germany (2008), Silaghi C, Gilles J, Höhle M, Fingerle V, Just FT, Pfister K. Emerging Infectious Diseases, 14(6), pp. 972–974.

• No temporal association between influenza outbreaks and invasive pneumococcal infections (2008), Toschke AM, Arenz S, von Kries R, Puppe W, Weigl JA, Höhle M, Heininger U. Archives of Disease in Childhood, 93, pp. 218-220.

• Accuracy assessment of Digital Elevation Models by means of robust statistical methods, (2009), Höhle J, Höhle M. ISPRS Journal of Photogrammetry and Remote Sensing, 64, pp. 398–406.

• Learning Programs in Photogrammetry for the Internet (1996), Höhle J, Höhle M. The Photogrammetric Journal of Finland, No.1, Vol.15, pp. 30–39.

• Aberration detection in R illustrated by Danish mortality monitoring (2010),  M. Höhle and A. Mazick,  Book chapter in T. Kass-Hout and X. Zhang (Eds.) Biosurveillance: Methods and Case Studies, CRC Press, pp. 215-238.  [preprint]
  Remarks: The R-code in the paper is available using the call demo("biosurvinr"). Furthermore, the function sr mentioned in the paper has been renamed to stcd.

• Online Changepoint Detection in Categorical Time Series (2010), M. Höhle, Book chapter in T. Kneib and G. Tutz (Eds.), Statistical Modelling and Regression Structures - Festschrift in Honour of Ludwig Fahrmeir, Springer, pp. 377-397. [preprint]
  

• Decision Support for Disease Management in Pig Production via Statistical Modelling (2003), M. Höhle, Research Report no.105, Danish Informatics Network in the Agricultural Sciences, ISBN 87 7611 021 4. (Ph.D. Thesis)

• In discussion of "An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach" by
  F. Lindgren, H. Rue and J. Lindström (2011), Journal of the Royal Statistical Society, Series B, 73(4), p. 475.

• Book review: Modeling Infectious Diseases in Humans and Animals by M. J. Keeling and P. Rohani (2009), M. Höhle, Biometrical Journal, 51(4), p. 741.
  

Conference Proceedings / Extended Abstracts

• An R-package for the surveillance of infectious diseases, M. Höhle, Proceedings in Computational Statistics, 17th Symposium, A. Rizzi and M. Vichi (Eds.), Rome, Italy, 28 August - 1 September 2006, Physica-Verlag, pp.1327–1334, 2006. [Presentation]
  

• Decision Making based on Sampled Disease Occurrence in Animal Herds, M. Höhle and E. Jørgensen, Proceedings of the 7th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, T.D. Nielsen and N. L. Zhang (Eds.) (ECSQARU), Aalborg, Denmark, July 2-5, 2003, Lecture Notes in Artificial Intelligence 2711, Springer Verlag, pp.220–229, 2003

• Diagnostic testing: Model estimation and decision support using graphical models, E. Jørgensen, M. Höhle, and S. Højsgaard. Proceedings of the 2003 Conference of the  European Federation for Information Technology in Agriculture, Food and the Environment  (EFITA), 5-9 July 2003, Debrecen-Budapest, Hungary, pp. 760–767, 2003.

• Extending the stochastic susceptible-infected-removed epidemic model to pig-production applications, M. Höhle, Maphysto/Dynstoch Workshop on Dynamical Stochastic Modeling in Biology, Copenhagen, 8-10 January, pp. 35–39, 2003

• Decision Support for Pneumonia Management in Pig Production, M. Höhle, Proceedings of the First European Workshop on Sequential Decisions under Uncertainty in Agriculture and Natural Resources, Toulouse, France,  pp.51–56. 2002. [Presentation]

• Modeling with LIMIDs - Examplified by Disease Treatment in Slaughter Pigs, M. Höhle, E. Jørgensen, D. Nilsson, Proceedings of the International Symposium on Pig Herd Management Modelisation, Lleida, Spain, pp. 17–26, 2000. [Presentation]

• Towards Automatic Bisimilarity Checking in the Spi Calculus, A. S. Elkjær, M. Höhle, H. Hüttel and K. Overgård, Combinatorics, Computation & Logic, Vol. 21, No.3, pp.175–189, edited by C. S. Calude and M. J. Dinneen, Springer-Verlag Singapore Pte. Ltd., Part of Australian Computer Science Week. 18.-21. January, 1999

• Developing CAL programs for the Internet, Höhle, J. and Höhle, M., Proceedings of CBLIS '97 conference on Computer Based Learning in Science, De Montfort University, Leicester, UK, ISBN 80-7040-217-2

• A space-time conditional intensity model for infectious disease occurence, S. Meyer, J. Elias and M. Höhle, Department of Statistics: Technical Reports, No. 95, 27 pages, 2010.
  

• Spatio-temporal epidemic modelling using additive-multiplicative intensity models, M. Höhle, Department of Statistics: Technical Reports, No. 41, 16 pages, 2008.

• Detection of risk factors for obesity in early childhood with quantile regression methods for longitudinal data, N. Fenske, L. Fahrmeir, P. Rzehak and M. Höhle, Department of Statistics: Technical Reports, No. 38, 19 pages, 2008.
  

• Statistical approaches to the surveillance of infectious diseases for veterinary public health, M. Höhle, M. Paul and L. Held, Department of Statistics: Technical Reports, No. 14, 18 pages, 2007.

• Poisson regression charts for the monitoring of surveillance time series, M. Höhle,  SFB386 Discussion Paper 500, 16 Pages, 2006.

• Bayesian Estimation of the Size of a Population, M. Höhle and L. Held,  SFB386 Discussion Paper 499, 12 Pages, 2006.

• Modelling the spread in space and time of an airborne plant disease, S. Soubeyrand, I. Sache, M. Höhle and L. Held, Research Report No. 24, Unité de Biométrie, Institut National de la Recherche Agronomique, Avignon, France, 26 Pages, 2006.

• A two-component model for counts of infectious diseases, L. Held, M. Hofmann, M. Höhle and V. Schmid, SFB386 Discussion Paper 424, 24 Pages, 2005.

• The R-Package 'surveillance', M. Höhle and A. Riebler, SFB386 Discussion Paper 422, 41 Pages, 2005.

• Methods for evaluating Decision Problems with Limited Information, D. Nilsson and M. Höhle, SFB386 Discussion Paper 421, 20 Pages, 2005.

• A stochastic model for multivariate surveillance of infectious diseases, M. Hofmann, M.Höhle and L. Held, SFB386 Discussion Paper 394, 31 pages, 2004.

• R0 estimation by the martingale method, M. Höhle, Biometry Research Unit Internal Report, 10 pages, 2003

• Estimating Parameters for Stochastic Epidemics, M. Höhle and E. Jørgensen, Dina Research Report no. 102, 2002, 51 pages [abstract]

• Computing bounds on expected utilities for optimal policies based on limited information, D. Nilsson and M. Höhle, Dina Research Report no. 94, 38 pages, 2001. [abstract]

• Ecological Regression of Hantavirus Incidence in Germany 2001-2010 (2011),  Abstracts of the Statistische Woche 2011, Leipzig, Germany, 19-23 Sep 2011, pp. 152-153.
  Joint work with Klaus Stark and Mirko Faber.
  

• suRv's up: Statistical Software for the Surveillance of Infectious Diseases (2011), Abstracts of the InFER2011 (Inference For Epidemic-related Risk) workshop, University of Warwick, UK, 28th March - 1st April 2011.
  [invited talk]

• Point process based infectious disease surveillance (2010), Online abstracts of the XXVth International Biometric Conference (IBC-Floripa-2010) Florianópolis, Brazil, Dec 5-10, 2010.
  Talk in the invited session on Epidemiological surveillance: space-time approaches and multiple testing problems.  
  Joint work with Sebastian Meyer

• Additive-multiplicative conditional intensity modelling of spatio-temporal epidemics (2010), Institute of Mathematical Statistics , 73rd Annual Meeting (IMS2010), Gothenburg, Sweden,  Aug 9-13, 2010.
  Talk in the invited session on Spatial Epidemiology and Epidemiologic Surveillance.
  Joint work with Sebastian Meyer

• Time series vs. point processes for space-time surveillance in public health (2009), Abstracts of joint meeting of the IBS German region working groups on Bayes-Methodology, Spatial statistics and Ecology and Environment, Lübeck, 3-5 Dec 2009.
  Joint work with T. Correa
  
  
• Multikategoriale Logit-Modellierung von Sentinel-Surveillance-Zeitreihen (2009), Abstracts of the 55. Biometrisches Kolloquium, Hannover, Germany, 17-19 Mar 2009, p. 54
  Joint work with S. Rückinger, R. von Kries and A. Siedler
  
  
• Binomial CUSUMs for the surveillance of infectious diseases (2008), Abstracts of the 2008 European Scientific Conference on Applied Infectious Disease Epidemiology (ESCAIDE) November 19-22, 2008, Berlin, Germany, p. 63
  Joint work with M. Paul and J. Dreesman
  

• Modelling and surveillance of infectious diseases - or why there is an R in SARS (2008), Abstracts of the The R User Conference 2008, useR! 2008, August 12-14, 2008, Technische Universität Dortmund, Germany
  [abstract] [talk]
  

• Count Data Control Charts for the Surveillance of Infectious Diseases (2008), Abstracts of the XXIVth International Biometric Conference, IBC2008, July 13-18, 2008, Dublin, Ireland
  [abstract][talk]
  

• Simulation and Inference for a Spatio-temporal Stochastic Epidemic Model (2008), Abstracts of Talks and Posters of the joint Biometric Conference of the German Region, the Region Austria-Switzerland and the National Group Poland of the International Biometric Society (IBS), Lifestat 2008, March 10-13, 2008, Munich, Germany, p.61

• Surveillance of infectious diseases using likelihood ratio detectors (2007), Abstracts of the Workshop on Recent Advances in the Statistical Analysis of Count and Survival Data, September 25-26, 2007, Zurich, Switzerland, p.11
  [invited talk]
  

• Statistical approaches to the temporal and spatio-temporal surveillance of infectious diseases (2007), Abstracts of the GisVet 2007 Conference, August 20—24, 2007, Copenhagen, Denmark, p.17 
  [keynote talk, joint with L. Held]
  

• Analysis of Classical Swine Fever Virus Incidence Data using a Partial Likelihood Approach (2006), Abstracts of the 21st Nordic Conference on Mathematical Statistics, June 11—15, 2006, Rebild, Denmark, p.25 

• LadyBug - a software environment for stochastic epidemic models (2005), Abstracts of the 3rd world conference on Computational Statistics & Data Analysis, Limassol, Cyprus, 28-31 October 2005, p. 26
  [talk]

• A spatial branching process for disease surveillance (2004)., M. Höhle, M. Hofmann, and L. Held, Abstracts of the Joint Meeting of the IBS-DR and the DAE, Heidelberg 16-19 March 2004, Biometrical Journal Suppl., Vol. 46, p.71

• Monitoring of surveillance time series by count data regression charts (2008), M. Paul (presenter) and M. Höhle, One-day conference on Statistics for Public Health Surveillance, 21st May 2008, Milton Keynes, UK.
  

• "Surveillance" - an R-package for developing disease surveillance algorithms, Geomed2005, 16-17 September 2005, University of Cambridge, UK.

• Sleep Stage Classification - Learning Bayesian Classification Networks, M. Höhle and B. Kristiansen, Department of Computer Science, Aalborg University, 1999, 147 pages (M.Sc. Thesis)
• Sensitivity Analysis in Bayesian Networks and Influence Diagrams, M. Höhle and B. Kristiansen, Department of Computer Science, Aalborg University, 1998, 77 pages [ps]
• Tænkeboks - vha. bayesianske netværk og spilteori, Höhle et. al., Department of Computer Science, Aalborg University, 1997, 112 pages (danish)

• PubMed