Publication List

• Bayesian nowcasting with leading indicators applied to COVID-19 fatalities in Sweden (2022), Bergström F, Günther F, Höhle M, Britton T, PLOS Computational Biology (dashboard | preprint | R code)

• Hospital profiling using Bayesian decision theory (2022), Hengelbrock J, Rauh J, Cederbaum J, Kähler M, Höhle M, Biometrics, E-pub ahead of print (R package | preprint)

• On assessing excess mortality in Germany during the COVID-19 pandemic (2022), de Nicola G, Kauermann G, Höhle M. AStA Wirtsch Sozialstat Arch, 16, 5–20.
  Note: Together with its 2021 data update the paper was awarded the 'Corona Sonderpreis' (COVID-19 Special Award) by the Federal Statistical Office of Germany (Destatis)

• Real-time monitoring of COVID-19 dynamics using automated trend fitting and anomaly detection (2021), Jombart T, Ghozzi S, Schumacher D, Taylor TJ, Leclerc QJ, Jit M, Flasche S, Greaves F,  Ward T, Eggo RM, Nightingale E, Meakin S, Brady OJ, Centre for Mathematical Modelling of Infectious Diseases COVID-19 Working Group, Medley GF, Höhle M, Edmunds JW. Royal Society Philosophical Transactions B, 376: 20200266.

• Nowcasting the COVID-19 pandemic in Bavaria (2020), Günther F, Bender A, Katz K, Küchenhoff H, Höhle M, Biometrical Journal, 63(3):490-502.

• Parallelized calculation of permutation tests (2020), Ekvall M., Höhle M, Käll L, Bioinformatics, 36(22-23):5392–5397.

• Model selection and parameter estimation for dynamic epidemic models via iterated filtering: application to rotavirus in Germany (2020), Stocks T, Britton T, Höhle M. Biostatistics, 21(3):400–416.

• An unconditional space-time scan statistic for ZIP-distributed data (2019), Allévius B, Höhle M. Scandinavian Journal of Statistics. 46:142–159 (preprint).

• Identifying the source of food-borne disease outbreaks: an application of Bayesian variable selection (2019), Jacobs R, Lesaffre E, Teunis PFM, Höhle M, van de Kassteele J. Statistical Methods in Medical Research, 28(4):1126–1140.
  Note: Rianne Jacobs was awarded the 2018 Hans van Houwelingen Biometry Award for this publication.

• Bayesian outbreak detection in the presence of reporting delays (2015), Salmon M, Schumacher D, Stark K, Höhle M. Biometrical Journal, 57(6), pp. 1051-1067.
  

• Bayesian Nowcasting during the STEC O104:H4 Outbreak in Germany, 2011 (2014), Höhle M and an der Heiden M. Biometrics, 70(4):993–1002. (preprint)
  Note: Award winner 'Best Paper in Biometrics by an IBS Member' in 2014.

• Bayesian parameter inference for dynamic infectious disease modelling: Rotavirus in Germany (2014), Weidemann F, Dehnert M, Koch J, Wichmann O, Höhle M. Statistics in Medicine, 33(9):1580-1599.
  

• Boosting structured additive quantile regression for longitudinal childhood obesity data (2013), Fenske N, Fahrmeir L, Hothorn T, Rzehak P, Höhle M, The International Journal of Biostatistics, 9(1), pp. 1-18.
  

• Bayesian model algorithm for monitoring reported cases of campylobacteriosis in Germany (2013), Manitz J and Höhle M, Biometrical Journal, 55(4), pp. 509–526.

• Determining high-risk zones for unexploded WWII bombs using point process methodology (2013), Mahling M, Höhle M and Küchenhoff H, Journal of the Royal Statistical Society, Series C, 62(2), pp. 181–199.
  

• A space-time conditional intensity model for invasive meningococcal disease occurrence (2012), Meyer S, Elias J and Höhle M, Biometrics, 68(2), pp. 607–616. (fullVersion@arxiv / preprint)
  

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

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

• Modelling the spread in space and time of an airborne plant disease (2008), Soubeyrand S, Held L, Höhle M and Sache I, 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), Höhle M and Paul M,  Computational Statistics and Data Analysis, 52(9), pp. 4357–4368.
  

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

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

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

Statistical Software

• Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance (2017), S. Meyer, L. Held, M. Höhle, Journal of Statistical Software 77(11).
  

• Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance (2016), M. Salmon, D. Schumacher, M. Höhle, Journal of Statistical Software 70(10).
  

• OutbreakTools: a new platform for disease outbreak analysis using the R software (2014), Jombart T, David Aanensen D, Baguelin M, Birrell P, Cauchemez S, Camacho A, Colijn C, Collins C, Cori A, Didelot X, Fraser C, Frost S, Hens N, Hugues J, Höhle M, Opatowski L, Rambaut A, Ratmann O, Soubeyrand S, Suchard MA, Wallinga J, Ypma R, Ferguson. Epidemiology 7:28-34.
  

• surveillance: An R package for the surveillance of infectious diseases (2007), Höhle M, Computational Statistics, 22(4), pp. 571–582. (preprint)
  
  
• RLadyBug – An R package for stochastic epidemic models (2007), Höhle M and Feldmann U, Computational Statistics and Data Analysis, 52(2), pp. 680–686.

Statistics for a Wider Audience

• In Response: Flint revisited (2017), M. Höhle, Significance, 14(4): 46. (add-on material)

• Rank uncertainty: Why the “most popular” baby names might not be the most popular (2017), M. Höhle, Significance, 14(3): 30–33. (preprint | add-on material)
  

Application of Statistical Methods

Engineering

• Generation and Assessment of Urban Land Cover Maps Using High Resolution Multispectral Aerial Cameras (2013), Höhle J, Höhle M. International Journal on Advances in Software, 6(3 & 4), pp. 272-282.


• 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.
  

Medicine

• Epitweetr: Early Warning of Public Health Threats Using Twitter Data (2022),  Espinosa L, Wijermans A, Orchard F, Höhle M, Czernichow T, Coletti P, Hermans L, Faes C, Kissling E, Mollet T. Eurosurveillance, 27(39):2200177 (R package)

• Analysis of the early Covid-19 epidemic curve in Germany by regression models with change points (2021). Küchenhoff H, Günther F, Höhle M, Bender A. Epidemiology and Infection, 149:e68.

• Analysis of asymptomatic and presymptomatic transmission in SARS-CoV-2 outbreak, Germany, 2020 (2021). Bender JK, Brandl M, Höhle M, Buchholz U, Zeitlmann N. Emerging Infectious Diseases. 2021 Apr.

• Evaluating Quality of Hospital Care using Time-to-Event Endpoints based on Patient Follow-up Data (2019), Hengelbrock J, Höhle M, Health Services and Outcomes Research Methodology, 19:197–214.
  

• A statistician's perspective on digital epidemiology (2017), Höhle M, Life Sciences, Society and Policy, 13:17.

• Are People Living Near Modern Swine Production Facilities at Increased Risk of Influenza Virus Infection? (2016), Lantos PM, Hoffman K, Höhle M, Anderson B, Gray GC, Clinical Infectious Diseases, 63 (12): 1558-1563.
  

• A system for automated outbreak detection of communicable diseases in Germany (2016), Salmon M, Schumacher D, Burmann H, Frank C, Claus H, Höhle M, Eurosurveillance, 21(13):pii=3018.
  

• Modelling the epidemiological impact of rotavirus vaccination in Germany - A Bayesian approach (2014), Weidemann F, Dehnert M, Koch J, Wichmann O, Höhle M, Vaccine, 32(40):5250–5257.
  

• Estimating the under-reporting of norovirus illness in Germany utilizing enhanced awareness of diarrhoea during a large outbreak of Shiga toxin-producing E. coli O104:H4 in 2011 - a time series analysis (2014), Bernard H, Werber D, Höhle M, BMC Infectious Diseases, 14:116.
  

• Large multistate outbreak of norovirus gastroenteritis associated with frozen strawberries, East Germany, 2012 (2014), Bernard H, Faber M, Wilking H, Haller S, Höhle M, Schielke A, Ducomble T, Siffczyk C, Merbecks S-S, Fricke G, Hamouda O, Stark K, Werber D, on behalf of  the Outbreak Investigation Team, Eurosurveillance, 19(8):pii=20719.
  
  
• Global Mortality Estimates for the 2009 Influenza Pandemic from the GLaMOR Project: A Modeling Study (2013), Simonsen L, Spreeuwenberg, Lustig R, Taylor RJ, Fleming DM, Kroneman M, Van Kerkhove MD, Mounts AW, Paget WJ and the GLaMOR Collaborating Teams, PLoS Medicine, 10(11): e1001558.
  Note: I'm not a direct author of the publication, but was member of the German GLaMOR team responsible for the extraction and interpretation of the data from the official German mortality statistics. 

• Shiga toxin-producing Escherichia coli O157 is more likely to lead to hospitalization and death than non-O157 serogroups - except O104 (2013), Preußel K, Höhle M, Stark K, Werber D, PLoS ONE 8(11): e78180.
  

• Associations of Age and Sex on Clinical Outcome and Incubation Period of Shiga toxin-producing Escherichia coli O104:H4 Infections, 2011 (2013), Werber D, King LA, Müller L, Follin P, Buchholz U, Bernard H, Rosner BM, Ethelberg S, de Valk H, Höhle M, American Journal of Epidemiology, 178(6):984-992.
  

• Clinical aspects and self-reported symptoms of sequelae of Yersinia enterocolitica infections in a population-based study, Germany 2009-2010 (2013), Rosner B, Werber D, Höhle M, Stark K, BMC Infectious Diseases, 13:236.
  

• More reasons to dread rain on vacation? Dengue fever in 42 German and United Kingdom Madeira tourists during autumn 2012 (2013), Frank C, Höhle M, K Stark K, Lawrence J, Eurosurveillance, 18(14):pii=20446.
  

• Duration of faecal shedding of Shiga-toxin producing Escherichia coli O104:H4 in patients infected during the 2011 outbreak in Germany: A multicentre study (2013), Vonberg RP, Höhle M, Aepfelbacher M, Bange FC, Belmar Campos C, Claussen K, Christner M, Cramer JP, Haller H, Hornef M, Fickenscher H, Fraedrich K, Knobloch JK, Kühbacher T, Manns MP, Nitschke M, Peters G, Pulz M, Rohde H, Roseland RT, Sayk F, Schaumburg F, Schöcklmann HO, Schubert S, Solbach W, Karch H, Suerbaum S. Clinical Infectious Diseases, 56 (8):1132-1140.
  

• Carrier prevalence, secondary household transmission and long-term shedding in two districts during the Escherichia coli O104:H4 outbreak in Germany, 2011 (2013), Abu Sin M, Takla A, Flieger A, Prager R, Fruth A, Tietze E, Fink E, Korte J, Schink S, Höhle M, Eckmanns T. Journal of Infectious Diseases,  207(3):432-438.

• Hepatitis E Virus Seroprevalence among Adults, Germany (2012), Faber MS, Wenzel JJ, Jilg W, Thamm M, Höhle M, Stark K. Emerging Infectious Diseases, 18(10):1654-1657.

• Ecological analysis of social risk factors for Rotavirus infections in Berlin, Germany, 2007-2009 (2012), Wilking H, Höhle M, Velasco E, Suckau M, Eckmanns T, International Journal of Health Geographics, 2012, 11:37.

• Risk factors for sporadic Yersinia enterocolitica infections, Germany 2009–2010 (2012), Rosner BM, Stark K, Höhle M, Werber D. Epidemiology and Infection, 140(10):1738-1747.

• 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. Eurosurveillance 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. Eurosurveillance 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.

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

• Prospective Detection of Outbreaks (2017), Allévius B and Höhle M, Book Chapter in the upcoming Handbook of Infectious Disease Epidemiology, Held, L., Hens, N., O’Neill, P.D. and Wallinga, J. (Eds.). CRC Press., CRC Press. [preprint]

• Infectious Disease Modelling (2016), Höhle M, Book Chapter in the Handbook on Spatial Epidemiology. A. Lawson, S. Banerjee, R. Haining and L. Ugarte (Eds.), CRC Press. [preprint]
  

• Aberration detection in R illustrated by Danish mortality monitoring (2010),  Höhle M and Mazick A,  Book chapter in T. Kass-Hout T 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), Höhle M, 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), Höhle M, Research Report no.105, Danish Informatics Network in the Agricultural Sciences, ISBN 87 7611 021 4. (Ph.D. Thesis)

• Comment “On the role of data, statistics and decisions in a pandemic” by Jahn et al. (2022). Höhle, M. AStA Adv Stat Anal. E-pub ahead of print.

• Letter to the Editor Re: “The ‘Case-chaos Study’ as an Adjunct or Alternative to Conventional Case-control Study Methodology” (2013), Höhle M, American Journal of Epidemiology, 177(9):1021-1022. 

• In discussion of the article "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), Höhle M, Biometrical Journal, 51(4), p. 741.

• An expectation-based space-time scan statistic for ZIP-distributed data, B. Allévius and M. Höhle, Mathematical Statistics, Stockholm University, Research Report 2017:8, 24 pages, 2017.

• pomp-Astic Inference For Epidemic Models: Simple Vs. Complex, T. Stocks, T. Britton, M. Höhle, bioRarxiv, 28 pages, 2017.

• Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance, S. Meyer, L. Held, M. Höhle, arXiv, 47 pages, 2015.

• Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance , M. Salmon, D. Schumacher, M. Höhle, arXiv, 35 pages, 2014.

Contributions to on-line discussion (no peer review)

• Online Comment on the paper 'A Likelihood-Based Approach to Identifying Contaminated Food Products Using Sales Data: Performance and Challenges' by Kaufman et al. (2014), PLoS Comput Biol 10(7): e1003692.  

Blog like Technical Notes (no peer review, but directly commentable by the community, announced over twitter & R-Bloggers)

• See list of blog entries here
  

Conference Proceedings / Extended Abstracts