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The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015) <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the weekly assessment of the epidemic and intensity status to help in routine respiratory infections surveillance in health systems. Allows the comparison of different epidemic indicators, timing and shape with past epidemics and across different regions or countries with different surveillance systems. Also, it gives a measure of the performance of the method in terms of sensitivity and specificity of the alert week. 'memapp' is a web application created in the Shiny framework for the 'mem' R package.
| Version: | 2.16 |
| Depends: | R (≥ 3.4.0) |
| Imports: | shiny, shinydashboard, shinyWidgets, shinyBS, shinyjs, RColorBrewer, tidyr, dplyr, stringr, stringi, DT, formattable, ggplot2, plotly, mem (≥ 2.18) |
| Suggests: | openxlsx, readxl, foreign, haven, readODS, RODBC, magick |
| Published: | 2023-06-20 |
| Author: | Jose E. Lozano [aut, cre] |
| Maintainer: | Jose E. Lozano <lozalojo at gmail.com> |
| BugReports: | https://github.com/lozalojo/memapp/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/lozalojo/memapp |
| NeedsCompilation: | no |
| Materials: | README |
| In views: | Epidemiology |
| CRAN checks: | memapp results |
| Reference manual: | memapp.pdf |
| Package source: | memapp_2.16.tar.gz |
| Windows binaries: | r-devel: memapp_2.16.zip, r-release: memapp_2.16.zip, r-oldrel: memapp_2.16.zip |
| macOS binaries: | r-release (arm64): memapp_2.16.tgz, r-oldrel (arm64): memapp_2.16.tgz, r-release (x86_64): memapp_2.16.tgz, r-oldrel (x86_64): memapp_2.16.tgz |
| Old sources: | memapp archive |
Please use the canonical form https://CRAN.R-project.org/package=memapp to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.