Welcome to Simuland! Citizens are threatened by an outbreak of SimulaVirus. Help them change their behaviour to control the epidemic. Click or tap 'Toggle Sidebar' to show or hide options. Click, tap or hover your mouse over items for help text. Click or tap here for more information. Please read the 'Alert' text in the Welcome Tab, and then...
For queries contact email@example.com.
Once you have opted in or out, the simulation can be started using the GO button in the sidebar.
Are you happy for us to store your results?
This App is for education and research purposes only: it is not intended to be used for decision-making relevant to Covid-19 or other real infectious diseases
How we model infection and progression of disease
The app has been developed in April 2020 by researchers at the University of Exeter’s Centre for Ecology and Conservation hyperlink
Dave Hodgson – R coding and app development
Anna Bush – App development and GitHub
Dave Hudson – App development and educational oversight
Filippo Marino – App development, ethical considerations and translation
Enoch Ontiri – Educational oversight and translation
MD Sharma – App development and hosting
Matthew Silk – R coding and epidemiological model
R code to model the social contacts of citizens was developed by Dave Hodgson with assistance from Dave Hudson and Matthew Silk.
The stochastic implementation of the epidemiological model was adapted Lofgren et al. (2020)* with help from Nina Fefferman (University of Tennessee).
Hosting for the app is provided by the University of Exeter.
*Eric Lofgren, Kristian Lum, Aaron Horowitz, Brooke Madubuowu and Nina Fefferman. The epidemiological implications of incarceration dynamics in jails for community, corrections office and incarcerated population risks from COVID-19. https://www.medrxiv.org/content/10.1101/2020.04.08.20058842v1hyperlink