runmemapp {memapp}

The Moving Epidemics Method Shiny Web Application

Description

Function runmemapp is used start the memapp Shiny Web Application.
memapp is a web application created to serve as a graphical user interface for the R mem library. It was created using Shiny, a web application framework for R. This application uses the development version of the mem R library.

Usage

runmemapp(launch.browser = TRUE, ...)

Arguments

launch.browser

whether if you want to launch the app in an external browser.

...

other parameters passed to shiny::runApp.

Details

Input data is a data frame containing rates that represent historical influenza surveillance data. It can start and end at any given week (tipically at week 40th), and rates can be expressed as per 100,000 inhabitants (or per consultations, if population is not available) or any other scale.
Parameters sent to the mem R library are set in the application itself.

Author(s)

Jose E. Lozano [e-mail]

References

Vega Alonso, Tomas, Jose E Lozano Alonso, Raul Ortiz de Lejarazu, and Marisol Gutierrez Perez. 2004. Modelling Influenza Epidemic: Can We Detect the Beginning and Predict the Intensity and Duration? International Congress Series, Options for the Control of Influenza V. Proceedings of the International Conference on Options for the Control of Influenza V, 1263 (June): 281-83. doi:10.1016/j.ics.2004.02.121.
Vega, Tomas, Jose Eugenio Lozano, Tamara Meerhoff, Rene Snacken, Joshua Mott, Raul Ortiz de Lejarazu, and Baltazar Nunes. 2013. Influenza Surveillance in Europe: Establishing Epidemic Thresholds by the Moving Epidemic Method. Influenza and Other Respiratory Viruses 7 (4): 546-58. doi:10.1111/j.1750-2659.2012.00422.x.
Vega, Tomas, Jose E. Lozano, Tamara Meerhoff, Rene Snacken, Julien Beaute, Pernille Jorgensen, Raul Ortiz de Lejarazu, et al. 2015. Influenza Surveillance in Europe: Comparing Intensity Levels Calculated Using the Moving Epidemic Method. Influenza and Other Respiratory Viruses 9 (5): 234-46. doi:10.1111/irv.12330.
Lozano, Jose E. mem R package: First version of the MEM R library [Internet]. Valladolid, Spain: Foundation Institute of Health Sciences Studies of Castilla y Leon; 2014. Available from: https://cran.r-project.org/web/packages/mem/index.html
Lozano, Jose E. lozalojo/mem: Second release of the MEM R library. Zenodo [Internet]. [cited 2017 Feb 1]; Available from: https://zenodo.org/record/165983

Examples

library("memapp")
if (interactive()) runmemapp(launch.browser = TRUE)