While we work with a variety of technologies many of our applications are built in R Shiny, a highly customisable framework for interactive, web-based data visualisations. This means we use technology best suited to your requirements and won't force you into a pre-set format.
R Shiny is an evolving technology to create data-driven, analytical interfaces for the web, utilising the statistical power of R. We often use it in projects to transition from static reports or research outputs to highly accessible and user-friendly dashboards that are easy to interact with.
The software tool “Epidemix” targets both students and decision makers and aims to make epidemiological models more accessible. It provides guidance on aspects such as model selection, population, infection states and their relationships, as well as parameters (or data) to use.
We were tasked by the University of Minnesota to develop a training software platform to support the interactive teaching of epidemiological methods. TOOLS/savi currently consists of three modules: Genetic analysis, OptiSample and Network analysis.
We worked with the Ministry of Health to improve the communication of the most up-to-date 'New Zealand Health Survey' results via web-based, interactive data visualisations.
Design and build of R Shiny apps - we have experienced graphic/UX designers and software engineers on board
Extension, refactoring or code clean-up of existing apps
Expert knowledge in data analysis (i.e. for epidemiology, monitoring and surveillance) and integration of specialist R packages, for example:
Integration into existing infrastructure
R Shiny hosting:
You own the source code after coding is complete, we can train you how to maintain or update your app
Join our R Shiny webinar series to learn more about R Shiny and get inspired how you can use the technology in your line of work.
Some of our webinars provide a high-level overview to spark ideas, while others are technology-focused and demonstrate how to do specific things in R Shiny.
Our webinars are free, however registration is required and places are limited.
Introduction to R Shiny
Friday 31 May - 10–11am NZT
Monday 26 August - 8.30–9.30pm NZT
We demonstrate use case for R Shiny apps and discuss when you should or shouldn’t use the technology.
Expert corner: building beautiful themes
Monday 1 July - 8.30–9.30pm NZT
Learn from our programmers how to develop cracker themes to take your app to the next level.
Effective user experience design
Friday 2 August - 10–11am NZT
Let us show you some tips and trick on how to create effective user interfaces and make your apps shine.
Interactive charts and visualisations
(Plot.ly, D3, phylocanvas)
(Leaflet, Google Maps)
Login functionality, including encryption, user and permission system
Integration of static or real-time data sources
Search and advanced filtering
Automated report generation
Theming based on your guidelines
Performance tuning and scaling of R Shiny apps for production environments
BI, Rest API, SQL (SQL Server, MySQL, PostgreSQL, MongoDB, SQLite), Big data (Spark, Hadoop)
Tensorflow, Keras, Scikit-learn
Shiny, Dash, D3, Plotly, Leaflet, Google Maps
Dr. Uli Muellner is Director of Epi-interactive. Equipped with degrees in education and computer science, as well as a PhD in Media Education, he is your man if you are after training and learning solutions, smart software applications and tools with high usability, or need someone to build you data visualisations that are both precise and beautiful.
Phone: +64 (0)27 292 2296
Muellner U, Fournie G, Muellner P, Ahlstrom C, Pfeiffer D. epidemix - an Interactive Multi-Model Application for Teaching and Visualizing Infectious Disease Transmission. Epidemics, doi: 10.1016/j.epidem.2017.12.003, 2017.
Vilata Sans C, Arruda AG, Tousignant SJ, Valdes-Donoso P, Muellner P, Muellner U, Alkhamis MA, Morrison RB, Perez AM. A review of quantitative tools used to assess the epidemiology of porcine reproductive and respiratory syndrome (PRRS) in U.S. swine farms using Dr. Morrison’s Swine Health Monitoring Program (MSHMP) data. Frontiers in Veterinary Science 4: 94 doi: 10.3389/fvets.2017.00094, 2017.
Ahlstrom C, Muellner P, Spencer SEF, Hong S, Saupe A, Rovira A, Hedberg C, Perez A, Muellner U, Alvarez J. Inferring source attribution from a multiyear multisource data set of Salmonella in Minnesota. Zoonoses and Public Health 00:1–10 doi: 10.1111/zph.12351, 2017.
Muellner P, Muellner U, Gates M, Pearce T, Ahlstrom C, O’Neill D, Brodbelt D and Cave NJ. Evidence in practice – a pilot study leveraging companion animal and equine health data from primary care veterinary clinics in New Zealand. Frontiers in Veterinary Science 3:116 doi : 10.3389/fvets.2016.00116, 2016.
Muellner U, Vial F, Wohlfender F, Hadorn D, Reist M and Muellner P. Timely reporting and interactive visualization of animal health and slaughterhouse surveillance data in Switzerland. Frontiers in Veterinary Science, 2015.
Muellner P, Muellner U, Fioravante P, Thurn M, Yang L, Torrison J. Red dot, blue line, black box – overcoming challenges in the visualisation of laboratory data. Australian and New Zealand College of Veterinary Scientists (ANZCVS) Science Week, Surfer’s Paradise, Australia, 2019.
Muellner P, Muellner U, Ahlstrom C, VanderWaal K, Alba A, Alvares J, Perez A. Bridging the gap – an interactive self-study tool for advanced epidemiological methods. Proceedings of the 15th Symposium of the International Society for Veterinary Epidemiology and Economics (ISVEE), Chiang Mai, Thailand, 2018.
Fournie G, Muellner U, Muellner P, Ahlstrom C, Pfeiffer D. epidemix-An interactive multi-model application for teaching and visualizing infectious disease transmission. Proceedings of the 15th Symposium of the International Society for Veterinary Epidemiology and Economics (ISVEE), Chiang Mai, Thailand, 2018.
Muellner P, Pearce T, Muellner U. Using primary care data to provide biosecurity intelligence and surveillance data for the New Zealand equine industry. Proceedings of the 15th Symposium of the International Society for Veterinary Epidemiology and Economics (ISVEE), Chiang Mai, Thailand, 2018.
Pearce T, Muellner P, Muellner U. Utilising opportunistic primary care data for equine disease surveillance in New Zealand. Proceedings of the 15th Symposium of the International Society for Veterinary Epidemiology and Economics (ISVEE), Chiang Mai, Thailand, 2018.
Muellner U, Perez A, Muellner P. Connecting epidemiology (and data) with people. New Zealand Veterinary Association (NZVA) Conference, Hamilton, New Zealand, June 2018.
Pearce T, Muellner P, Gates C, Muellner U. Equine primary care data surveillance in New Zealand – a dream come reality? New Zealand Veterinary Association (NZVA) Conference, Hamilton, New Zealand, June 2018.
Muellner P, Perez A, Fournier G, VanderWaal K, Dawson K, Muellner U. Connecting data and epidemiology with people. 3rd One Health Aotearoa Symposium, Wellington, New Zealand, December 2017.
Muellner P, Pearce T, Gates C, Muellner U. Count your horses – towards real-time surveillance of equine health in New Zealand. Australian and New Zealand College of Veterinary Scientists (ANZCVS) Science Week, Surfer’s Paradise, Australia, 2017.
Muellner P, Muellner U, Ahlstrom C, VanderWaal K, Alba A, Alvares J, Cheeran A, Perez A. Epi by doing – building an interactive Shiny platform for teaching at the University of Minnesota. Australian and New Zealand College of Veterinary Scientists (ANZCVS) Science Week, Surfer’s Paradise, Australia, 2017.
Pearce T, Muellner P, Gates MC, Ahlstrom C, Muellner U. Horse power: establishing equine primary-care data surveillance in New Zealand. International Conference for Animal Health Surveillance (ICAHS 3), Rotorua, New Zealand, April 2017.
Muellner U, Fournié G, Muellner P, Ahlstrom C, Pfeiffer D. Epidemix – an interactive application teaching the ins and outs of infectious disease modelling. Australian and New Zealand College of Veterinary Scientists (ANZCVS) Science Week, Surfer’s Paradise, Australia, 2016.
Muellner P, Gates C, Muellner U, Pearce T, Ahlstrom C, Cave N. It’s the interface, stupid: engaging veterinarians to provide data for practice data-based surveillance in equines and companion animals. Australian and New Zealand College of Veterinary Scientists (ANZCVS) Science Week, Surfer’s Paradise, Australia, 2016.
Muellner P, Gates C, Pearce T. A New Zealand equine veterinary practice-based surveillance system – our vision. Annual Conference of the New Zealand Equine Veterinary Association (NZEVA), Taupo, New Zealand, 2015.
Muellner U, Vial F, Wohlfender F, Hadorn D, Reist M, Muellner P. Interactive visualisation of animal health surveillance data – information for action. Annual Meeting of the European College of Veterinary Public Health (ECVPH), Copenhagen, Denmark, 2014.
View the conference presentation poster.